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Academic literature on the topic 'Active Distribution Networks'

Author: Grafiati

Published: 4 June 2021

Last updated: 17 June 2025

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Journal articles on the topic "Active Distribution Networks"

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Kyriakou, Dimitra G., and Fotios D. Kanellos. "Sustainable Operation of Active Distribution Networks." Applied Sciences 13, no. 5 (2023): 3115. http://dx.doi.org/10.3390/app13053115.

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The present and future conditions in the energy market impose extremely high standards to the operation of building energy systems. Moreover, distribution networks face new operational and technical challenges as a result of the rapid penetration of renewable energy sources (RES) and other forms of distributed generation. Consequently, active distribution networks (ADNs) will play a crucial role in the exploitation of smart building prosumers, smart grids, and RES. In this paper, an optimization method for the sustainable operation of active distribution networks hosting smart residential building prosumers, plug-in electric vehicle (PEV) aggregators, and RES was developed. The thermal and electrical loads of the residential buildings were modeled in detail and an aggregation method was implemented to the hosted PEVs. Moreover, smart power dispatch techniques were applied at each building prosumer and PEV aggregator hosted by the active distribution network. Simultaneously, all the operational limitations of the active distribution network, building energy systems, and the hosted PEVs were satisfied. The constrained optimal power flow (OPF) algorithm was exploited to keep the voltages of the hosting distribution network between the permissible bounds. A significant operation cost reduction of 17% was achieved. The developed models were verified through detailed simulation results.

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Ilea, Valentin, Cristian Bovo, Davide Falabretti, et al. "Voltage Control Methodologies in Active Distribution Networks." Energies 13, no. 12 (2020): 3293. http://dx.doi.org/10.3390/en13123293.

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Renewable Energy Sources are becoming widely spread, as they are sustainable and low-carbon emission. They are mostly penetrating the MV Distribution Networks as Distributed Generators, which has determined the evolution of the networks’ control and supervision systems, from almost a complete lack to becoming fully centralized. This paper proposes innovative voltage control architectures for the distribution networks, tailored for different development levels of the control and supervision systems encountered in real life: a Coordinated Control for networks with basic development, and an optimization-based Centralized Control for networks with fully articulated systems. The Centralized Control fits the requirements of the network: the challenging harmonization of the generator’s capability curves with the regulatory framework, and modelling of the discrete control of the On-Load Tap Changer transformer. A realistic network is used for tests and comparisons with the Local Strategy currently specified by regulations. The proposed Coordinated Control gives much better results with respect to the Local Strategy, in terms of loss minimization and voltage violations mitigation, and can be used for networks with poorly developed supervision and control systems, while Centralized Control proves the best solution, but can be applied only in fully supervised and controlled networks.

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Deng, Guohao, Dang Wang, and Weixin Gao. "Active and Reactive Power Coordination Optimization of the Active Distribution Network." Journal of Physics: Conference Series 2450, no. 1 (2023): 012023. http://dx.doi.org/10.1088/1742-6596/2450/1/012023.

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Abstract The operation and control of the active distribution network are faced with great challenges due to a mass of tunable and controllable devices connected to the network, resulting in large active power loss and voltage deviation. In this paper, a method of active and reactive power coordination optimization for the active distribution network based on a one-dimensional convolutional neural network (1D-CNN) is proposed. This method can mine valuable information from the historical data of distribution networks, and use one-dimensional convolutional neural networks to map the complex nonlinear relationship between node load and optimization strategy. The simulation results of the modified IEEE33 node distribution network system show that the active power loss and the node voltage deviation of the proposed method are significantly reduced.

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Alaskar, Azzan, and Abdulaziz Alkuhayli. "Reliability Evaluation of Active Distribution Systems with Distributed Generations." IOP Conference Series: Earth and Environmental Science 1026, no. 1 (2022): 012064. http://dx.doi.org/10.1088/1755-1315/1026/1/012064.

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Abstract Reliability evaluation is essential in designing, planning, operating modern power systems. System operators must operate the network securely and efficiently with minimal interruption events. With the recent advances in power electronics and control, distributed generations (DG) such as photovoltaic (PV), wind turbine, and storage systems are expected to grow in distribution networks. This high level of distributed generations penetration in the grid can increase the complexity of operating the system. This is caused by intermittent nature of solar irradiance and wind speed. This paper proposes a methodology used to assess distribution networks containing stochastic resources such as photovoltaic. This method will use the Monte Carlo simulation with a stochastic model to evaluate the distribution network’s reliability. The system and load point reliability indices such as frequency of loss of load and expected energy not to supplied will be computed in this technique. In addition, the configuration of distribution networks to improve system’s reliability to facilitate system restoration after pre-fault conditions will be assessed.

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Ma, Zhanhui, and Fang Cao. "Optimization of Active Distribution Network Operation with SOP Considering Reverse Power Flow." Applied Sciences 14, no. 24 (2024): 11797. https://doi.org/10.3390/app142411797.

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As the penetration of distributed renewable energy increases, the phenomenon of bidirectional power flow in distribution networks becomes increasingly severe. Traditional regulation devices like OLTC (on-load tap changer) and CB (capacitor bank) cannot effectively mitigate reverse power flow in distribution networks due to their limitations. The transmission capacity of the distribution network under reverse power flow is approximately 50% of the rated capacity of the OLTC, leading to issues such as voltage limit violations and high wind and solar curtailment rates. This paper proposes a method for calculating the reverse power flow delivery capacity of distribution networks, quantitatively describing the distribution network’s delivery limits for reverse power flow. Based on this, a joint optimization model for multiple distribution networks with an SOP is established. The SOP is utilized to share reverse power flow delivery capacity among multiple distribution networks, enhancing operational economy and increasing the accommodation of the DG. Finally, the method’s effectiveness and correctness are verified in the IEEE 33-node system. The results validate that while joint operation does not enhance the reverse flow transmission capacity of a single distribution network, it can, through the shared reverse flow transmission capacity approach, elevate the reverse flow transmission capacity to approximately 70% during the majority of time periods.

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Ochoa, L. F., C. J. Dent, and G. P. Harrison. "Distribution Network Capacity Assessment: Variable DG and Active Networks." IEEE Transactions on Power Systems 25, no. 1 (2010): 87–95. http://dx.doi.org/10.1109/tpwrs.2009.2031223.

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Luo, Jiale. "Key technologies of active distribution networks control." Applied and Computational Engineering 10, no. 1 (2023): 182–87. http://dx.doi.org/10.54254/2755-2721/10/20230172.

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Active Distribution Networks (ADNs) are modern and intelligent power distribution systems that integrate renewable energy sources and advanced control technologies to provide reliable, secure, and efficient electricity supply. The traditional power distribution networks are designed to deliver electricity in a one-way flow from the transmission system to the customers. In contrast, ADN enables two-way power flow between the distribution network and customers, allowing them to become active participants in the electricity system. The key technology behind ADN includes advanced metering infrastructure (AMI), Distribution Automation (DA), and energy storage systems (ESS). AMI provides real-time data on electricity consumption, generation, and distribution, enabling efficient load management and demand response. Other key technologies of ADN include renewable energy sources such as solar photovoltaic (PV), Wind turbines and small-scale hydroelectricity. These sources are connected to the distribution network through power electronic interfaces that convert the DC output of the renewable sources into AC for distribution. Smart grid technologies such as microgrids, virtual power plants, and energy management systems are also integrated into ADN to improve grid stability and resilience. ADNs have the potential to transform the electricity system by enabling more efficient, sustainable, and reliable energy systems that can better serve the needs of consumers and society. Thus, ADN is expected to become a critical technology in achieving a cleaner and more sustainable energy future.

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Xu, Lin, Songhai Fan, Hua Zhang, Jiayu Xiong, Chang Liu, and Site Mo. "Enhancing Resilience and Reliability of Active Distribution Networks through Accurate Fault Location and Novel Pilot Protection Method." Energies 16, no. 22 (2023): 7547. http://dx.doi.org/10.3390/en16227547.

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The integration of distributed generation (DG) into the decentralized access of the distribution network transforms the existing structure into an active distribution network. The alteration in fault characteristics poses significant challenges to the coordinated operation of relay protection. Fault location within the distribution network plays a vital role in facilitating fault recovery and enhancing the resilience of the power system. It proves instrumental in improving the network’s ability to withstand extreme disasters, thereby enhancing the reliability of power distribution. Therefore, this paper provides a detailed analysis of the voltage fault components occurring during various fault types within an active distribution network. Building upon the identified characteristics of voltage fault components, a novel approach for the longitudinal protection of active distribution networks is proposed. This method involves comparing the calculated values of voltage fault components with their actual values. The proposed approach is applicable to various fault scenarios, including short-circuit faults, line break faults, and recurring faults. It exhibits advantages such as insensitivity to the penetration of distributed power supplies and robustness in withstanding transition resistance. The simulation results validate the effectiveness of the proposed method, affirming its applicability to diverse protection requirements within active distribution networks.

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Ni, Pinghao, Hao Cao, Jinghan He, Meng Li, Fengxi Gao, and Ziqi Wang. "Phase-angle adaptive current differential protection for active distribution network." Journal of Physics: Conference Series 2564, no. 1 (2023): 012022. http://dx.doi.org/10.1088/1742-6596/2564/1/012022.

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Abstract With the distributed generator to be attached to the distribution network, the current differential protection scheme may have some problems, resulting in maloperation or rejection of protection. This paper investigates the current distribution properties of an active distribution network with branches of undetected load and draws the conclusion that undetected load may cause differential protection maloperation. The differences in fault properties of differential protection in transmission network scenarios and distribution networks containing distributed generator are evaluated, leading to the conclusion that differential protection applied to active distribution networks may have reduced resistance to transition resistance and that poor signal synchronization conditions in distribution networks may lead to larger synchronization errors. A phase-angle adaptive current differential protection is proposed. It adaptively adjusts the phase angle constraint using the magnitude of the power frequency full current component proportion at both sides of the line. It can accommodate the protection needs of various operation modes of distribution networks containing distributed generator, and has the characteristics of strong resistance to transition resistance and strong phase shift braking ability. The correctness of the suggested protection scheme was verified using the PSCAD platform.

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Yang, Junwen, Fusheng Ran, Bin Xu, Pengzhuang Zhong, and Fangfang Li. "Reconfiguration of distribution networks considering high penetration of renewable energy: an application of the QPSO algorithm." Journal of Physics: Conference Series 2963, no. 1 (2025): 012009. https://doi.org/10.1088/1742-6596/2963/1/012009.

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Abstract The increasing variety of distributed generation (DG) types introduces significant power fluctuations and uncertainties when integrated into the distribution network. This imposes significant challenges in ensuring the stability and safety of the power system. Flexible configuring the distribution network’s topology can reduce active power losses and improve node voltage levels. However, traditional heuristic algorithms often fall short when addressing the reconfiguration of distribution networks with multiple DG types. In this paper, an enhanced Quantum Particle Swarm Optimization (QPSO) algorithm is proposed for optimizing active power losses and minimizing node voltage deviations in the distribution network. Simulations conducted using the modified IEEE 33-node system as a case study demonstrate that the proposed algorithm effectively reconfigures distribution networks with various DG types. It significantly reduces network losses, enhances node voltage levels, and achieves high computational accuracy.

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Dissertations / Theses on the topic "Active Distribution Networks"

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Cobelo, I. "Active control of distribution networks." Thesis, University of Manchester, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.685442.

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Zhou, Lin. "Active network management and uncertainty analysis in distribution networks." Thesis, University of Bath, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.675697.

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In distribution networks, the traditional way to eliminate network stresses caused by increasing generation and demand is to reinforce the primary network assets. A cheaper alternative is active network management (ANM) which refers to real-time network control to resolve power flow, voltage, fault current and security issues. However, there are two limitations in ANM. First, previous ANM strategies investigated generation side and demand side management separately. The generation side management evaluates the value from ANM in terms of economic generation curtailment. It does not consider the potential benefits from integrating demand side response such as economically shifting flexible load over time. Second, enhancing generation side management with load shifting requires the prediction of network stress whose accuracy will decrease as the lead time increases. The uncertain prediction implies the potential failure of reaching expected operational benefits. However, there is very limited investigation into the trade-offs between operational benefit and its potential risk. In order to tackle the challenges, there are two aspects of research work in this thesis. 1) Enhanced ANM. It proposes the use of electric vehicles (EVs) as responsive demand to complement generation curtailment strategies in relieving network stress. This is achieved by shifting flexible EV charging demand over time to absorb excessive wind generation when they cannot be exported to the supply network. 2) Uncertainty management. It adopts Sharpe Ratio and Risk Adjust Return On Capital concepts from financial risk management to help the enhanced ANM make operational decisions when both operational benefit and its associated risk are considered. Copula theory is applied to further integrate correlations of forecasting errors between nodal power injections (caused by wind and load forecasting) into uncertainty management. The enhanced ANM can further improve network efficiency of the existing distribution networks to accommodate increasing renewable generation. The cost-benefit assessment informs distribution network operators of the trade-off between investment in ANM strategy and in the primary network assets, thus helping them to make cost-effective investment decisions. The uncertainty management allows the impact of risks that arise from network stress prediction on the expected operational benefits to be properly assessed, thus extending the traditional deterministic cost-benefit assessment to cost-benefit-risk assessment. Moreover, it is scalable to other systems in any size with low computational burden, which is the major contribution of this thesis.

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Sansawatt, Thipnatee Punim. "Adaptive control for active distribution networks." Thesis, University of Edinburgh, 2012. http://hdl.handle.net/1842/6268.

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Rise of the global environmental awareness and climate change impacts caused by greenhouse gases emissions brings about a revolution in the power and energy industries to reduce fossil fuels and promote low-carbon and renewable distributed generation (DG). The new dimensions, mainly encouraged by the governments’ legislative targets and incentives, have allowed the development of DG worldwide. In the U.K., renewable DG especially wind is being connected on distribution networks and ranges widely in scales. Despite the growing number of potential DG sites, the surplus generation present on the passive networks can lead to some technical problems. In particular, rural networks where wind farms exist are prone to voltage rise and line thermal constraints. In order to accommodate new DG and ensure security of supply and network reliability, active management to mitigate these issues are required. In addition, the duties to provide cost-effective DG connections at avoided expensive investment incurred from conventional solutions, e.g., reinforcement and maintain robust network are a major challenge for Distribution Network Operators (DNOs). This thesis endeavours to develop an adaptive control scheme that provides local and real-time management against voltage variations and line capacity overload at the point of wind connections on rural distribution networks. Taking into account maximising power exports and providing an economically-viable control scheme, the wind turbine’s capability, comprising reactive power control and active power curtailment, is used. Whilst the thesis concentrates on the decentralised control applying several different algorithms, in addition, semi-coordinated and centralised approaches that adopt on-load tap changing transformers’ regulation and Optimal Power Flow tool are developed. Comparisons of these approaches based upon measures, i.e., economics, DG penetration and performance are determined. As an outcome, the developed scheme can enable growing integration of renewable DG on distribution networks and can be seen as an interim solution for the DNOs towards Smart Distribution Networks.

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Campillo, Javier. "From Passive to Active Electric Distribution Networks." Doctoral thesis, Mälardalens högskola, Framtidens energi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-31592.

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Large penetration of distributed generation from variable renewable energy sources, increased consumption flexibility on the demand side and the electrification of transportation pose great challenges to existing and future electric distribution networks. This thesis studies the roles of several actors involved in electric distribution systems through electricity consumption data analysis and simulation models. Results show that real-time electricity pricing adoption in the residential sector offers economic benefits for end consumers. This occurs even without the adoption of demand-side management strategies, while real-time pricing also brings new opportunities for increasing consumption flexibility. This flexibility will play a critical role in the electrification of transportation, where scheduled charging will be required to allow large penetration of EVs without compromising the network's reliability and to minimize upgrades on the existing grid. All these issues add significant complexity to the existing infrastructure and conventional passive components are no longer sufficient to guarantee safe and reliable network operation. Active distribution networks are therefore required, and consequently robust and flexible modelling and simulation computational tools are needed for their optimal design and control. The modelling approach presented in this thesis offers a viable solution by using an equation-based object-oriented language that allows developing open source network component models that can be shared and used unambiguously across different simulation environments.

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Conner, Steven. "Automated distribution network planning with active network management." Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/28818.

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Renewable energy generation is becoming a major part of energy supply, often in the form of distributed generation (DG) connected to distribution networks. While growth has been rapid, there is awareness that limitations on spare capacity within distribution (and transmission) networks is holding back development. Developments are being shelved until new network reinforcements can be built, which may make some projects non-viable. Reinforcements are costly and often underutilised, typically only loaded to their limits for a few occasions during the year. In order to accommodate new DG without the high costs or delays, active network management (ANM) is being promoted in which generation and other network assets are controlled within the limits of the existing network. There is a great deal of complexity and uncertainty associated with developing ANM and devising coherent plans to accommodate new DG is challenging for Distribution Network Operators (DNOs). As such, there is a need for robust network planning tools that can explicitly handle ANM and which can be trusted and implemented easily. This thesis describes the need for and the development of a new distribution expansion planning framework that provides DNOs with a better understanding of the impacts created by renewable DG and the value of ANM. This revolves around a heuristic planning framework which schedules necessary upgrades in power lines and transformers associated with changes in demand as well as those driven by the connection of DG. Within this framework a form of decentralised, adaptive control of DG output has been introduced to allow estimation of the impact of managing voltage and power flow constraints on the timing and need for network upgrades. The framework is initially deployed using simple scenarios but a further advance is the explicit use of time series to provide substantially improved estimates of the levels of curtailment implied by ANM. In addition, a simplified approach to incorporating demand side management has been deployed to facilitate understanding of the scope and role this may play in facilitating DG connections.

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Thornley, Vincent Paul. "State estimation and control of active distribution networks." Thesis, University of Manchester, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.682241.

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Renewable power is often connected as distributed generation within distribution networks. A common limiting factor is the potential for the network voltage to exceed operational limits as a result of such generation. One method of overcoming this is the application of improved methods of voltage control to allow better use of the existing network assets. A segment controller is proposed which combines state estimation with a limit› based control algorithm to maintain the voltage at all nodes of a distribution network within operational limits, allowing increased generation to be safely introduced. A key feature is to minimise additional infrastructure required, therefore real measurements from around the network are restricted to the generation sites. The requirements and implementation for two field trials in the UK have been defined and are described. A state estimator is developed and the results from the site trials are presented. The accuracy of the estimator is, in some cases, poor. Investigations demonstrate that accuracy can be improved through careful selection of measurement parameters. The sparseness of real measurements is complemented by pseudo› measurements of load. Three existing load models (termed Half Rated Load, Allocation of Load by Rating and Allocation of Load by Profile) are presented and a new load model, Allocation of Load by Profile with Diversity, is developed. Studies show that load models based on allocation of load can significantly improve the accuracy of the state estimates. The AVRS control algorithm is described and adapted for practical implementation. Results from the site trials show that it is capable of maintaining the voltage across the network within limits. Additional requirements for commercial application of the technique are described. It is concluded that the combination of state estimation and a limit-based control algorithm are capable of maintaining a network within its operation voltage limits, allowing increased generation to be introduced to it.

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Coppo, Massimiliano. "Modeling and management of active electric distribution networks." Doctoral thesis, Università degli studi di Padova, 2016. http://hdl.handle.net/11577/3424471.

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In modern electricity distribution networks the vertically integrated grid paradigm is rapidly changing due to the ever growing presence of generation sources connected at lower voltage levels. These units, although having each a small size respect to the main generation plants connected to the bulk grid, in the last years are becoming more and more relevant due to their high number. If on one hand the connection of distributed generators is encouraged by the reduction of their cost and the incentives for renewable energy policies, on the other hand this process is resulting in serious concerns on the power system's stability and security. From the bulk grid standpoint, for example, the increasing share of distributed generation in the power generation mix is becoming a key issue as regards the system's frequency regulation. Concerning the operation of the distribution system, the presence of renewable intermittent generation resources (e.g. photovoltaic) and new storage-capable loads (e.g. plug-in hybrid electric vehicles), commonly referred to as Distributed Energy Resources (DERs) is often cause of undesired voltage and current unbalances and higher network losses. To face the mentioned issues, several national and international standard bodies stated new technical requirements for the generators connected to the distribution network with the aim of improving their integration in the grid regulation. A remarkable share of generators being connected to the distribution grid use static converters as an interface to the system: with the new standards these units need to be capable of changing their operating point supporting the grid regulation either on a local basis (e.g. frequency and Volt/Var control), as a response to remote signals from the DSO or remaining connected in presence of transient fault conditions (fault-ride-through). As clearly appears from the decisions being taken updating the grid codes, the integration of DGs and in general of distributed energy resources (DERs) will have a key role in the future electrical grids, both for security reasons and to improve the system's efficiency. For this reason, other than the technical requirements for the grid regulation support, decisions at regulatory level are going to be taken in order to path the way towards the ``smart-grid''. The mentioned challenges related with the integration of distributed resources in the grid operation highlight the importance of modelling with higher detail a distribution network in order to represent correctly all the active users which may participate to its regulation. Having suitable simulation tools, scenarios of integration of these resources may be studied proposing strategies for their management. These aspects are addressed in this thesis in which active distribution networks are studied both from the representation and management points of view. This thesis presents a methodology to represent distribution systems and, in general, multi-conductor networks enabling the consideration of asymmetrical systems, even in presence of specific grounding options and of circuits with different number of phases. From the management point of view, this thesis proposes a decentralised energy management system suitable for Medium Voltage networks aiming at involving DERs in the network's regulation. A coordinated control is also presented for the management of DERs connected in Low Voltage distribution networks, aiming both at limiting the voltage unbalance and aggregating services to be provided to the upstream MV grid. Both the modelling methodology and the management strategies are simulated in several case studies to demonstrate the applicability of the proposed tools to different power systems.<br>Nelle attuali reti elettriche di distribuzione, la struttura verticalmente integrata sta rapidamente cambiando a causa della crescente presenza di fonti di generazione connesse ai più bassi livelli di tensione. Queste unità, pur avendo dimensioni ridotte rispetto alle centrali tradizionali connesse alla rete di alta tensione, negli ultimi anni stanno diventando sempre più rilevanti a causa del loro elevato numero. Se da un lato la connessione di generatori distribuiti è incoraggiata dalla riduzione del loro costo e gli incentivi per politiche a sostegno delle energie rinnovabili, d'altra parte questo processo si ripercuote sulla stabilità e la sicurezza del sistema elettrico. Dal punto di vista della rete di trasmissione, la crescente percentuale di energia prodotta nelle reti di distribuzione rispetto ai quella proveniente dalle centrali elettriche tradizionali sta diventando una questione di importanza fondamentale nel risolvere problemi come la regolazione di frequenza. Per quanto riguarda il funzionamento del sistema di distribuzione, la presenza di risorse di generazione rinnovabile e intermittente (ad esempio fotovoltaico) e nuovi utenti in grado di accumulare energia (ad esempio veicoli elettrici connessi alla rete), comunemente indicati come Distributed Energy Resources (DER) è spesso causa di squilibri indesiderati di tensione e corrente e incremento delle perdite di rete. Per affrontare i suddetti problemi, diversi enti normativi nazionali e internazionali hanno aggiornato i requisiti tecnici per i generatori connessi alla rete di distribuzione, con l'obiettivo di favorire la loro integrazione nella regolazione di rete. Una quota rilevante di questi generatori connessa alla rete di distribuzione utilizza convertitori statici per interfacciarsi con il sistema elettrico: con le nuove norme, queste unità devono prevedere la possibilità di modificare il proprio funzionamento per contribuire alla regolazione di rete attraverso controlli basati su logica locale (ad esempio controllo di frequenza e tensione), sulla base di segnali inviati da remoto dal Distributore e rimanendo connessi in presenza di condizioni di guasto transitorie (fault-ride-through). Come appare evidente dalle decisioni prese sul piano normativo per aggiornare i codici di rete, l'integrazione dei DER avrà un ruolo predominante nella futura gestione delle reti elettriche, sia da un punto di vista della sicurezza che nel migliorare l'efficienza energetica. Per questo motivo, oltre all'aggiornamento dei requisiti di connessione per la partecipazione al supporto di rete, decisioni a livello regolatorio dovranno essere prese per favorire il passaggio alle cosiddette ``smart-grid''. Le suddette problematiche associate all'integrazione delle risorse distribuite nella gestione delle reti elettriche evidenziano l'importanza di rappresentare con elevato livello di dettaglio la rete di distribuzione, in modo da includere modelli di generatori distribuiti che possono partecipare alla regolazione. Avendo strumenti di simulazione adeguati, scenari di integrazione di queste risorse possono essere studiati, proponendo strategie per la loro gestione. Questa tesi affronta emntrambi i temi, trattando sia la rappresentazione della rete che la sua gestione. Questa tesi presenta una metodologia per la rappresentazione di reti di distribuzione e, in generale, di reti multi-conduttore, includendo sistemi asimmetrici anche in presenza di particolari configurazioni di messa a terra e di sezioni con diverso numero di conduttori. Dal punto di vista della gestione del sistema, in questa tesi viene proposta una strategia decentralizzata per la gestione di reti di media tensione con l'obiettivo di coinvolgere i DER nella regolazione di rete. Un controllo coordinato viene proposto anche per la gestione di DER connessi alla rete di bassa tensione, con il duplice obiettivo di limitare lo squilibrio di tensione e aggregare i contributi delle risorse distribuite per fornire servizi ancillari. I criteri di rappresentazione e gestione delle reti di distribuzione sono stati applicati ad alcuni casi studio per dimostrarne l'applicabilità in diversi sistemi elettrici.

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Lyons, Padraig Fionnbharr. "Experimental investigation and evaluation of future active distribution networks." Thesis, Durham University, 2010. http://etheses.dur.ac.uk/273/.

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The UK government’s policy to achieve a 20% renewable energy generation target by 2020, will require significant amounts of SSEG (Small-Scale Embedded Generation) to be connected. In addition to the expected economic and environmental benefits, the anticipated growth in SSEG brings with it numerous challenges for the operation of low voltage and medium voltage distribution networks. At present, there are a number of competing active network management concepts being considered to overcome these challenges and at Durham University a concept defined as the Small Scale Energy Zone (SSEZ) has been proposed and is investigated as part of this research. To further this, a bespoke active low voltage distribution network emulator known as the Experimental SSEZ has been developed by the author. Controllable emulated SSEG, controllable energy storage and controllable emulated load are incorporated into this laboratory. A transformation system has been developed to relate the operation of this system to that of low voltage distribution networks. Centralised and distributed network control systems have been developed for the Experimental SSEZ. These systems were used to evaluate, in conjunction with the relevant literature, the implementation of similar systems on future low voltage distribution networks. Both centralised and distributed control system architectures were found to have their merits. This research should therefore be useful in informing design decisions when developing and implementing active distribution network management systems on LV networks.

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Manitsas, Efthymios. "State estimation and active management in power distribution networks." Thesis, Imperial College London, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.550819.

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This thesis develops solutions that accommodate the introduction of state estimation in High Voltage (HV) power distribution networks, and proposes methodologies that further enhance the value of state estimation in distribution network operation. Furthermore, it investigates the impact of Distributed Generation (DG) and Active Management (AM) on the infrastructure development of typical European distribution networks. In HV distribution networks, measurements are very limited and normally available at the main substation only. Thus, it is essential to introduce appropriately modelled pseudo measurements. This is necessary not only for the state estimation mathematical models to be established but also for state estimation to generate estimates of sufficient quality. Two approaches, one based on correlation coefficients and regression analysis and one based on Artificial Neural Networks (ANNs), are proposed. Distribution networks are not static. Faults, maintenance and emergencies constantly change their topology; sudden changes in major power injections significantly change their power flows and voltages. For the Distribution Management System (DMS) to be reliable, it is important that changes significantly changing the state of the network are immediately identified and taken into consideration before control actions are issued. A methodology for detection of network changes using state estimation and the Bayes theorem of conditional probability is introduced. Finally, the future infrastructure development of typical distribution networks of Germany, the Netherlands and Poland is examined. The technical, economic and environmental aspects of Passive Management (PM), AM and DG are assessed and quantified while the technical and economic efficiency of different AM strategies is evaluated.

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Coffele, Federico. "Adaptive protection solutions for future active power distribution networks." Thesis, University of Strathclyde, 2012. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=18682.

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Power distribution networks are undergoing a continuous evolution from being passive to active in nature, with increasing penetration of distributed generation and the introduction of active network management schemes to facilitate increased distributed generation connections, automatically manage and reconfigure the network, optimise voltages and power losses and improve power supply reliability. The purpose of the research presented in this dissertation is to investigate the protection challenges that this evolution will introduce to the functions of protecting distribution networks, to develop new solutions and implement and demonstrate them in the laboratory. To analyse the potential problems that may be introduced to traditional protection systems, a detailed analysis of the impact of distributed generation, network automation and islanded operation has been undertaken using a hardware in the loop simulation of a network model representative of typical UK rural distribution networks. This analysis has demonstrated certain protection challenges (and disproved others) associated with overcurrent and loss of mains protection of future active power distribution networks. Two solutions to the demonstrated challenges have been developed: a new adaptive overcurrent protection system with automatic settings calculation, which overcomes the demonstrated sensitivity, selectivity and coordination problems associated with overcurrent protection; and a novel adaptive inter-tripping scheme with back-up passive loss of mains protection, which overcomes the demonstrated sensitivity and stability problems associated with loss of mains protection. The developed protection solutions have been implemented on commercially available hardware and tested using an hardware in the loop simulation environment. The performance of both solutions has been compared to traditional overcurrent and loss of mains protection systems, which are configured in accordance with UK distribution network operator protection policy. The results of this comparison have shown the effectiveness of the developed solutions in overcoming the demonstrated protection problems associated with future active power distribution networks.

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Books on the topic "Active Distribution Networks"

1

Peter, Crossley, Chowdhury S. P, and Knovel (Firm), eds. Microgrids and active distribution networks. Institution of Engineering and Technology, 2009.

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Zambroni de Souza, Antonio Carlos, and Bala Venkatesh, eds. Planning and Operation of Active Distribution Networks. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90812-6.

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Schwaegerl, Christine, Kurt Dedekind, and Ray Brown, eds. Distributed Energy Resources in Active Distribution Networks. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-030-87693-7.

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Chowdhury, S., S. P. Chowdhury, and P. Crossley. Microgrids and Active Distribution Networks. Institution of Engineering & Technology, 2009.

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Li, Peng, Haoran Ji, Yang Mi, Hao Yu, Yue Zhou, and Nian Liu, eds. Flexible and Active Distribution Networks. Frontiers Media SA, 2021. http://dx.doi.org/10.3389/978-2-88971-125-3.

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Chowdhury, S., S. P. Chowdhury, and P. Crossley. Microgrids and Active Distribution Networks. Institution of Engineering and Technology, 2009. http://dx.doi.org/10.1049/pbrn006e.

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Joos, Geza, and Christine Schwagerl. Distributed Energy Resources in Active Distribution Networks. Springer International Publishing AG, 2022.

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Joos, Géza, and Christine Schwagerl. Distributed Energy Resources in Active Distribution Networks. Springer International Publishing AG, 2022.

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Venkatesh, Bala, and Antonio Carlos Zambroni de Souza. Planning and Operation of Active Distribution Networks: Technical, Social and Environmental Aspects. Springer International Publishing AG, 2022.

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Ameli, Mohammad Taghi, Kamran Jalilpoor, and Sasan Azad. Future Modern Distribution Networks Resilience: From Passive Operation to Strategic Active Paradigms. Elsevier, 2024.

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Book chapters on the topic "Active Distribution Networks"

1

Kakkar, Pankaj, Michael McDougall, Carl A. Gunter, and Trevor Jim. "Certificate Distribution with Local Autonomy." In Active Networks. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-40057-5_21.

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Foggia, Guillaume, Christophe Kieny, and Joseph Maire. "Virtual Power Systems for Active Networks." In Electrical Distribution Networks. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118601280.ch13.

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Velasco, Manel, Pau Martí, Ramón Guzman, Jaume Miret, and Miguel Castilla. "Communication in Active Distribution Networks." In Lecture Notes in Electrical Engineering. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90812-6_12.

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Abreu, Cláudia, David Rua, and João Peças Lopes. "Practical Aspects of Active Distribution Networks." In Lecture Notes in Electrical Engineering. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90812-6_3.

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de Almeida, Madson Cortes, Thiago Ramos Fernandes, and Luis Fernando Ugarte Vega. "State Estimation and Active Distribution Networks." In Lecture Notes in Electrical Engineering. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90812-6_14.

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Mohamed, Azah, and Tengku Juhana Tengku Hashim. "Coordinated Voltage Control in Active Distribution Networks." In Electric Distribution Network Management and Control. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7001-3_4.

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Moradijoz, Mahnaz. "Network-Driven Flexibility Planning of Active Distribution Network." In Flexibility in Electric Power Distribution Networks. CRC Press, 2021. http://dx.doi.org/10.1201/9781003122326-12.

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Mokryani, Geev. "Active Distribution Networks Operation Within a Distribution Market Environment." In Sustainable Development in Energy Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54808-1_6.

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Moradijoz, Mahnaz. "Resource-Driven Flexibility Planning of Active Distribution Network." In Flexibility in Electric Power Distribution Networks. CRC Press, 2021. http://dx.doi.org/10.1201/9781003122326-6.

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Tan, Ying, Hong Luo, and Shou-Li Peng. "Distribution of Node Characteristics in Complex Networks of Tree Class." In Active Media Technology. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35236-2_45.

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Conference papers on the topic "Active Distribution Networks"

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Zi, Wenjun, Wei Liu, Liuan Cheng, and Dehu Zou. "Fault Location Method of Active Distribution Networks Based on Graph Attention V2 Network." In 2024 China International Conference on Electricity Distribution (CICED). IEEE, 2024. http://dx.doi.org/10.1109/ciced63421.2024.10753856.

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Han, Zhaolu, and Huan Wang. "Regional Autonomous Optimization Scheduling of Active Distribution Networks." In 2024 IEEE 8th Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2024. https://doi.org/10.1109/ei264398.2024.10991707.

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Yan, Shuo, and Lasantha Meegahapola. "Stability Issues Emanating from Cyberattacks on Active Distribution Networks." In 2024 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2024. http://dx.doi.org/10.1109/pesgm51994.2024.10760267.

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Ferreira, Diogo M. V. P., and Pedro M. S. Carvalho. "Setpoint Reachability for Congestion Management in Active Distribution Networks." In 2024 International Conference on Smart Energy Systems and Technologies (SEST). IEEE, 2024. http://dx.doi.org/10.1109/sest61601.2024.10694120.

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Xinyu, Xia, Jiao Shuaichao, Li Tingjun, Bai Hua, and Han Xiaoqing. "Active Islanding Strategy for Distribution Networks Containing Distributed Generation." In 2024 IEEE 8th Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2024. https://doi.org/10.1109/ei264398.2024.10991591.

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Ning, Zhang, Li Dongsheng, Zhao Shichang, Gan Jiatian, Yang Jun, and Zheng Yubei. "Voltage Coordination Control of Photovoltaic Storage Clusters in Active Distribution Networks." In 2024 China International Conference on Electricity Distribution (CICED). IEEE, 2024. http://dx.doi.org/10.1109/ciced63421.2024.10754535.

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Liu, Wenan, Xiangqing Kong, Dongfei Lv, et al. "Active and reactive power collaborative loss reduction optimization strategy for active distribution networks." In Ninth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2024), edited by Pierluigi Siano and Wenbing Zhao. SPIE, 2024. http://dx.doi.org/10.1117/12.3033422.

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Ravi, Abhijith, Linquan Bai, Valentina Cecchi, Jianming Lian, Jin Dong, and Teja Kuruganti. "Impedance-Aware Graph Convolutional Networks for Voltage Estimation in Active Distribution Networks." In 2024 IEEE Kansas Power and Energy Conference (KPEC). IEEE, 2024. http://dx.doi.org/10.1109/kpec61529.2024.10676297.

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Shafiu, A., V. Thornley, N. Jenkins, G. Strbac, and A. Maloyd. "Control of active networks." In 18th International Conference and Exhibition on Electricity Distribution (CIRED 2005). IEE, 2005. http://dx.doi.org/10.1049/cp:20051235.

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Korbik, A., S. D. J. McArthur, G. W. Ault, G. M. Burt, and J. R. McDonald. "Enabling active distribution networks through decentralised autonomous network management." In 18th International Conference and Exhibition on Electricity Distribution (CIRED 2005). IEE, 2005. http://dx.doi.org/10.1049/cp:20051186.

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Reports on the topic "Active Distribution Networks"

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Vlaicu, Razvan. Research Insights: What Are the Impacts of Bank Branch Closures on Local Firms? Inter-American Development Bank, 2024. https://doi.org/10.18235/0013282.

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As several major banks in Latin America have reduced their branch networks in recent years, many firms have lost access to their local bank. Bank branch closures result in a reduction in firm establishments with active operations from 1.2% initially to 8.1% within 4-7 years, a 0.5 decline in weekly hours of formal employment, and a compression of the real wage distribution. Micro firms, trade and service firms, and agricultural firms are found to be the most vulnerable.

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Fang, Francis, and Razvan Vlaicu. Local Banking Supply and Private Firm Activity: Evidence from Branch Closures. Inter-American Development Bank, 2024. http://dx.doi.org/10.18235/0013076.

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Private firms establish relationships with banks in local markets to obtain adequate financing for their operations through credit and loans. As major banks reduced their branch networks in recent years, many firms have lost access to their local bank. We evaluate the impact of a large number of branch closures on firm operations, wages and employment, and economic output in Brazil from 2011 to 2021. We adopt a difference-in-differences strategy with staggered treatment timing, employing both two-way fixed effects and Callaway-Sant'Anna estimators. Our study finds that bank branch closures result in a reduction in establishments with active operations from 1.2% initially to 8.1% within 4-7 years, a 0.5 decline in weekly hours of formal employment, and a compression in the real wage distribution. Micro firms, trade and service firms, and agricultural firms are found to be the most vulnerable. Our study highlights the importance of physical bank branches that provide financial access and meet the localized financial demand of several types of firms.

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Hilbrecht, Margo, David Baxter, Alexander V. Graham, and Maha Sohail. Research Expertise and the Framework of Harms: Social Network Analysis, Phase One. GREO, 2020. http://dx.doi.org/10.33684/2020.006.

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In 2019, the Gambling Commission announced a National Strategy to Reduce Gambling Harms. Underlying the strategy is the Framework of Harms, outlined in Measuring gambling-related harms: A framework for action. "The Framework" adopts a public health approach to address gambling-related harm in Great Britain across multiple levels of measurement. It comprises three primary factors and nine related subfactors. To advance the National Strategy, all componentsneed to be supported by a strong evidence base. This report examines existing research expertise relevant to the Framework amongacademics based in the UK. The aim is to understand the extent to which the Framework factors and subfactors have been studied in order to identify gaps in expertise and provide evidence for decision making thatisrelevant to gambling harms research priorities. A social network analysis identified coauthor networks and alignment of research output with the Framework. The search strategy was limited to peer-reviewed items and covered the 12-year period from 2008 to 2019. Articles were selected using a Web of Science search. Of the 1417 records identified in the search, the dataset was refined to include only those articles that could be assigned to at least one Framework factor (n = 279). The primary factors and subfactors are: Resources:Work and Employment, Money and Debt, Crime;Relationships:Partners, Families and Friends, Community; and Health:Physical Health, Psychological Distress, and Mental Health. We used Gephi software to create visualisations reflecting degree centrality (number of coauthor networks) so that each factor and subfactor could be assessed for the density of research expertise and patterns of collaboration among coauthors. The findings show considerable variation by framework factor in the number of authors and collaborations, suggesting a need to develop additional research capacity to address under-researched areas. The Health factor subcategory of Mental Health comprised almost three-quarters of all citations, with the Resources factor subcategory of Money and Debt a distant second at 12% of all articles. The Relationships factor, comprised of two subfactors, accounted for less than 10%of total articles. Network density varied too. Although there were few collaborative networks in subfactors such as Community or Work and Employment, all Health subfactors showed strong levels of collaboration. Further, some subfactors with a limited number of researchers such as Partners, Families, and Friends and Money and debt had several active collaborations. Some researchers’ had publications that spanned multiple Framework factors. These multiple-factor researchers usually had a wide range of coauthors when compared to those who specialised (with the exception of Mental Health).Others’ collaborations spanned subfactors within a factor area. This was especially notable forHealth. The visualisations suggest that gambling harms research expertise in the UK has considerable room to grow in order to supporta more comprehensive, locally contextualised evidence base for the Framework. To do so, priority harms and funding opportunities will need further consideration. This will require multi-sector and multidisciplinary collaboration consistent with the public health approach underlying the Framework. Future research related to the present analysis will explore the geographic distribution of research activity within the UK, and research collaborations with harms experts internationally.

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Bonnett, Michaela, Angela Ladetto, Meaghan Kennedy, Jasmine Fernandez, and Teri Garstka. Network Analysis of a Mobility Ecosystem in Detroit, MI. Orange Sparkle Ball, 2024. http://dx.doi.org/10.61152/hejw8941https://www.orangesparkleball.com/innovation-library-blog/2024/5/30/sunbelt2024-network-analysis-of-a-mobility-ecosystem-in-detroit-mi.

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Network Analysis of a Mobility Ecosystem in Detroit, MI Background As part of a new initiative from the Global Epicenter of Mobility (GEM), organizations across many sectors in Detroit, MI, and surrounding counties are collaboratively investing in transforming the local legacy mobility industry into an inclusive advanced mobility cluster over the next 3 years. At the start of this initiative, in partnership with the research team at the Detroit Regional Partnership, a social network analysis was conducted to map the relationship between the foundational 24 organizations, the greater coalition, and their extended network to date. The organizations within this initiative were divided into 4 sectors that highlighted key differences in engagement This baseline map and relationship data, as well as key network analysis metrics, will be compared to future data collections over the coming years to track the initiative’s progress. Methods The original coalition (161 organizations) was identified by the local partner organization and data collection proceeded from September-December 2023 through survey completion. One or more representatives of coalition organizations were asked to identify their relationship to other members of the coalition using a 1-5 scale (Frey et al., 2006). Data were analyzed in R, and organization-level metrics, as well as centralized network-wide metrics, were produced for weighted betweenness, degree, and weighted degree centrality, as well as averages of connection strength. Maps were produced using KUMU software. Findings The mobility coalition consisted of 159 nodes and 7412 connections. Of those connections, 3763 (50.77%) had at least a level 1 connection strength, while 2319 (31.29%) had a connection strength of ≧ 3 (an active working relationship). The average connection strength for the network was 2.13. The coalition network was highly interconnected, with a clustering coefficient of 0.70 and a density of 0.59. Nonprofit and foundation organizations made up 47.5-50% of the top quartile by all centrality metrics while only making up 32.1% of the network. Corporate and private organizations made up 42.8% of the network and made up 68.42-82.50% of the bottom quartile across all metrics. The distribution of centrality scores of the corporate and private organizations was significantly lower than those of all other sectors within the network. These results illuminate a network that is highly interconnected, but in which not all sectors are engaging equally. These results are being used to plan and implement strategic interventions to foster new relationships and growth within the network. In addition to the 159 coalition organizations, respondents to the survey identified an additional 244 organizations as active participants within the Detroit region mobility space. A select number of these organizations will be added to the coalition as it becomes established within the Detroit region. These provide directions for future growth of the GEM initiative and the mobility ecosystem network and are examples of turning research into action.

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Bonnett, Michaela, Angela Ladetto, Meaghan Kennedy, Jasmine Fernandez, and Teri Garstka. Network Analysis of a Mobility Ecosystem in Detroit, MI. Orange Sparkle Ball, 2024. http://dx.doi.org/10.61152/hejw8941.

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Network Analysis of a Mobility Ecosystem in Detroit, MI Background As part of a new initiative from the Global Epicenter of Mobility (GEM), organizations across many sectors in Detroit, MI, and surrounding counties are collaboratively investing in transforming the local legacy mobility industry into an inclusive advanced mobility cluster over the next 3 years. At the start of this initiative, in partnership with the research team at the Detroit Regional Partnership, a social network analysis was conducted to map the relationship between the foundational 24 organizations, the greater coalition, and their extended network to date. The organizations within this initiative were divided into 4 sectors that highlighted key differences in engagement This baseline map and relationship data, as well as key network analysis metrics, will be compared to future data collections over the coming years to track the initiative’s progress. Methods The original coalition (161 organizations) was identified by the local partner organization and data collection proceeded from September-December 2023 through survey completion. One or more representatives of coalition organizations were asked to identify their relationship to other members of the coalition using a 1-5 scale (Frey et al., 2006). Data were analyzed in R, and organization-level metrics, as well as centralized network-wide metrics, were produced for weighted betweenness, degree, and weighted degree centrality, as well as averages of connection strength. Maps were produced using KUMU software. Findings The mobility coalition consisted of 159 nodes and 7412 connections. Of those connections, 3763 (50.77%) had at least a level 1 connection strength, while 2319 (31.29%) had a connection strength of ≧ 3 (an active working relationship). The average connection strength for the network was 2.13. The coalition network was highly interconnected, with a clustering coefficient of 0.70 and a density of 0.59. Nonprofit and foundation organizations made up 47.5-50% of the top quartile by all centrality metrics while only making up 32.1% of the network. Corporate and private organizations made up 42.8% of the network and made up 68.42-82.50% of the bottom quartile across all metrics. The distribution of centrality scores of the corporate and private organizations was significantly lower than those of all other sectors within the network. These results illuminate a network that is highly interconnected, but in which not all sectors are engaging equally. These results are being used to plan and implement strategic interventions to foster new relationships and growth within the network. In addition to the 159 coalition organizations, respondents to the survey identified an additional 244 organizations as active participants within the Detroit region mobility space. A select number of these organizations will be added to the coalition as it becomes established within the Detroit region. These provide directions for future growth of the GEM initiative and the mobility ecosystem network and are examples of turning research into action.

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Savu, Alin, Bogdan Pălici, Maria Trifon, and Cristian Georgescu. Public Libraries: Dynamics of Infrastructure and Access. National Institute for Cultural Research and Training, 2023. http://dx.doi.org/10.61789/pub.cdi.bibp.en.23.

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"This publication presents the last decades’ dynamics of some essential aspects regarding the network of public libraries in Romania. The first chapter illustrates the territorial distribution of public libraries on an interactive map with disaggregation down to locality level. Subsequently, the chapter presents a dynamic comparison of the evolution of public libraries at county level between 1995 and 2022. Next, the second chapter interactively addresses the complementary topic of the population’s access to the public library in the locality of residence. Over the past three decades, the number of active public libraries has seen considerable declines. Inherently, the access of the population to the public library in the locality of residence decreased. Therefore, citizens’ access to culture and education is increasingly restricted."

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Jamasb, Tooraj, Emanuele Giovannetti, Manuel Llorca, Daniel Davi-Arderius, and Golnoush Soroush. A Brief Economics of Energy Data Space: The EDDIE Project. Copenhagen School of Energy Infrastructure, 2023. http://dx.doi.org/10.22439/csei.pb.016.

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The appeal of decentralised approaches to structure energy generation, transmission and distribution networks, and consumption to scholars and practitioners has grown in the past 20-30 years. Moreover, in the coming years digitalisation will become a key enabler for the sustainable and efficient management of key areas in our economies including the energy sector. A European, decentralised, and open-source energy data space solution such as the one proposed in the Horizon Europe Innovation Action project EDDIE (European Distributed Data Infrastructure for Energy), fits into this trend. In this policy brief the authors outline their initial views on EDDIE and some economic concepts related to the project’s vision.

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Saifoloi, Malama, Evangelia Papoutsaki, Marcus Williams, Usha Sundar Harris, and Munawwar Naqvi. Participatory Video and the Pacifica Mamas: A Pilot Project. Unitec ePress, 2016. http://dx.doi.org/10.34074/emed.044.

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Emerging literature highlights that in the Pacific, the use of participatory video (PV) is a new trend in research and community action. It can be employed as a tool to empower communities to have agency over their media outputs, meaning that they have full control of the content creation, production and distribution processes. But to date there is still a dearth of studies that fully explore its potential use in different contexts, especially within diasporic networks. To address this gap, a pilot project was undertaken where PV methodologies were tested in collaboration with a diasporic Pacific community group based in West Auckland, New Zealand. This report feeds back on the overall process of developing the pilot project.

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Peippo, Jaana, Mervi Honkatukia, Maria Kjetså, and Ellen-Louisa Fagerheim White. The NordFrost Project Report – Farm Animal Gene Banks in the Nordic Region: Added Value Through Nordic Cooperation. Nordic Genetic Resource Center (NordGen), 2024. http://dx.doi.org/10.53780/arpi5480.

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The network project titled “Nordic animal gene banks – added value through Nordic cooperation” (NordFrost), has aimed to strengthen the collaboration and competence for ex-situ conservation of animal genetic resources (AnGR) in the Nordic region. This project was launched as a case study following the Horizon2020 funded IMAGE project (2016-2020) where it was concluded that there is a broad variation in the current state of practices and the distribution of responsibilities related to cryoconservation activities between the Nordic countries. The national strategies on conserving AnGR emphasise ex-situ conservation in varying degrees. However, collection of samples, metadata, back-up storage of material or common strategies and action plans for ex-situ conservation on a regional level does not exist. This makes conservation of AnGR an exposed area that threatens the resilience of Nordic food security. By developing new collaborative models, strengthening Nordic infrastructure, and enhancing the development of Nordic strategies for ex-situ conservation in the region, this network will contribute to increased sustainability for populations and future Nordic food security.

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Peippo, Jaana, Mervi Honkatukia, Maria Kjetså, and Ellen-Louisa Fagerheim White. The NordFrost Project Report – Farm Animal Gene Banks in the Nordic Region: Added Value Through Nordic Cooperation. Nordic Genetic Resource Center (NordGen), 2024. http://dx.doi.org/10.53780/rlyj6032.

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The network project titled “Nordic animal gene banks – added value through Nordic cooperation” (NordFrost), has aimed to strengthen the collaboration and competence for ex-situ conservation of animal genetic resources (AnGR) in the Nordic region. This project was launched as a case study following the Horizon2020 funded IMAGE project (2016-2020) where it was concluded that there is a broad variation in the current state of practices and the distribution of responsibilities related to cryoconservation activities between the Nordic countries. The national strategies on conserving AnGR emphasise ex-situ conservation in varying degrees. However, collection of samples, metadata, back-up storage of material or common strategies and action plans for ex-situ conservation on a regional level does not exist. This makes conservation of AnGR an exposed area that threatens the resilience of Nordic food security. By developing new collaborative models, strengthening Nordic infrastructure, and enhancing the development of Nordic strategies for ex-situ conservation in the region, this network will contribute to increased sustainability for populations and future Nordic food security.

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