Relevant bibliographies by topics / Energy Distribution

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Energy Distribution'

Author: Grafiati
Published: 4 June 2021
Last updated: 21 February 2023

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Journal articles on the topic "Energy Distribution"

1

Vasudev, Arpitha, A. M. Sowmya, and G. Manjula. "Applying Intermittent Energy Distribution for Evading Energy Holes in Wireless Sensor Network." Bonfring International Journal of Software Engineering and Soft Computing 6, Special Issue (October 31, 2016): 217–19. http://dx.doi.org/10.9756/bijsesc.8281.

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Conti, Stefania, Santi A. Rizzo, Nunzio Salerno, and Giuseppe M. Tina. "Distribution network topology identification based on synchrophasor." AIMS Energy 6, no. 2 (2018): 245–60. http://dx.doi.org/10.3934/energy.2018.2.245.

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Lee, Soon-myung, and Jeong-Uk Kim. "The Application Method of DC Distribution in Microgrid." Journal of Energy Engineering 25, no. 1 (March 31, 2016): 92–99. http://dx.doi.org/10.5855/energy.2015.25.1.092.

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Feijóo, Andrés, and Daniel Villanueva. "Polynomial approximations of the Normal toWeibull Distribution transformation." AIMS Energy 2, no. 4 (2014): 342–58. http://dx.doi.org/10.3934/energy.2014.4.342.

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Moncecchi, Matteo, Davide Falabretti, and Marco Merlo. "Regional energy planning based on distribution grid hosting capacity." AIMS Energy 7, no. 3 (2019): 264–84. http://dx.doi.org/10.3934/energy.2019.3.264.

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Kavousi-Fard, Abdollah, and Amin Khodaei. "Multi-objective optimal operation of smart reconfigurable distribution grids." AIMS Energy 4, no. 2 (2016): 206–21. http://dx.doi.org/10.3934/energy.2016.2.206.

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Mashud Hyder, Md, and Kaushik Mahata. "Reconfiguration of distribution system using a binary programming model." AIMS Energy 4, no. 3 (2016): 461–80. http://dx.doi.org/10.3934/energy.2016.3.461.

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Cavanagh, Ralph, and Richard Sonstelie. "Energy Distribution Monopolies." Electricity Journal 11, no. 7 (August 1998): 13–23. http://dx.doi.org/10.1016/s1040-6190(98)00066-9.

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Bansal, Manoj. "Optimization Modelling for Renewable Energy Resources based Distribution Generation." Revista Gestão Inovação e Tecnologias 11, no. 3 (June 30, 2021): 1510–19. http://dx.doi.org/10.47059/revistageintec.v11i3.2027.

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ZAHIRUDDIN, Mohd, and Masanori KUNIEDA. "E35 Energy Distribution into Micro EDM Electrodes(Electrical machining)." Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2009.5 (2009): 835–40. http://dx.doi.org/10.1299/jsmelem.2009.5.835.

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Dissertations / Theses on the topic "Energy Distribution"

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Islam, Saif Ul. "Energy management in content distribution network servers." Thesis, Toulouse 3, 2015. http://www.theses.fr/2015TOU30007/document.

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Les infrastructures Internet et l'installation d'appareils très gourmands en énergie (en raison de l'explosion du nombre d'internautes et de la concurrence entre les services efficaces offerts par Internet) se développent de manière exponentielle. Cela entraîne une augmentation importante de la consommation d'énergie. La gestion de l'énergie dans les systèmes de distribution de contenus à grande échelle joue un rôle déterminant dans la diminution de l'empreinte énergétique globale de l'industrie des TIC (Technologies de l'information et de la communication). Elle permet également de diminuer les coûts énergétiques d'un produit ou d'un service. Les CDN (Content Delivery Networks) sont parmi les systèmes de distribution à grande échelle les plus populaires, dans lesquels les requêtes des clients sont transférées vers des serveurs et traitées par des serveurs proxy ou le serveur d'origine, selon la disponibilité des contenus et la politique de redirection des CDN. Par conséquent, notre objectif principal est de proposer et de développer des mécanismes basés sur la simulation afin de concevoir des politiques de redirection des CDN. Ces politiques prendront la décision dynamique de réduire la consommation d'énergie des CDN. Enfin, nous analyserons son impact sur l'expérience utilisateur. Nous commencerons par une modélisation de l'utilisation des serveurs proxy et un modèle de consommation d'énergie des serveurs proxy basé sur leur utilisation. Nous ciblerons les politiques de redirection des CDN en proposant et en développant des politiques d'équilibre et de déséquilibre des charges (en utilisant la loi de Zipf) pour rediriger les requêtes des clients vers les serveurs. Nous avons pris en compte deux techniques de réduction de la consommation d'énergie : le DVFS (Dynamic Voltage Frequency Scaling) et la consolidation de serveurs. Nous avons appliqué ces techniques de réduction de la consommation d'énergie au contexte d'un CDN (au niveau d'un serveur proxy), mais aussi aux politiques d'équilibre et de déséquilibre des charges afin d'économiser l'énergie. Afin d'évaluer les politiques et les mécanismes que nous proposons, nous avons mis l'accent sur la manière de rendre l'utilisation des ressources des CDN plus efficace, mais nous nous sommes également intéressés à leur coût en énergie, à leur impact sur l'expérience utilisateur et sur la qualité de la gestion des infrastructures. Dans ce but, nous avons défini comme métriques d'évaluation l'utilisation des serveurs proxy, d'échec des requêtes comme les paramètres les plus importants. Nous avons transformé un simulateur d'événements discrets CDNsim en Green CDNsim, et évalué notre travail selon différents scénarios de CDN en modifiant : les infrastructures proxy des CDN (nombre de serveurs proxy), le trafic (nombre de requêtes clients) et l'intensité du trafic (fréquence des requêtes client) en prenant d'abord en compte les métriques d'évaluation mentionnées précédemment. Nous sommes les premiers à proposer un DVFS et la combinaison d'un DVFS avec la consolidation d'un environnement de simulation de CDN en prenant en compte les politiques d'équilibre et de déséquilibre des charges. Nous avons conclu que les techniques d'économie d'énergie permettent de réduire considérablement la consommation d'énergie mais dégradent l'expérience utilisateur. Nous avons montré que la technique de consolidation des serveurs est plus efficace dans la réduction d'énergie lorsque les serveurs proxy ne sont pas beaucoup chargés. Dans le même temps, il apparaît que l'impact du DVFS sur l'économie d'énergie est plus important lorsque les serveurs proxy sont bien chargés. La combinaison des deux (DVFS et consolidation des serveurs) permet de consommer moins d'énergie mais dégrade davantage l'expérience utilisateur que lorsque ces deux techniques sont utilisées séparément
Explosive increase in Internet infrastructure and installation of energy hungry devices because of huge increase in Internet users and competition of efficient Internet services causing a great increase in energy consumption. Energy management in large scale distributed systems has an important role to minimize the contribution of Information and Communication Technology (ICT) industry in global CO2 (Carbon Dioxide) footprint and to decrease the energy cost of a product or service. Content distribution Networks (CDNs) are one of the popular large scale distributed systems, in which client requests are forwarded towards servers and are fulfilled either by surrogate servers or by origin server, depending on contents availability and CDN redirection policy. Our main goal is therefore, to propose and to develop simulation-based principled mechanisms for the design of CDN redirection policies which will do and carry out dynamic decisions to reduce CDN energy consumption and then to analyze its impact on user experience constraints to provide services. We started from modeling surrogate server utilization and derived surrogate server energy consumption model based on its utilization. We targeted CDN redirection policies by proposing and developing load-balance and load-unbalance policies using Zipfian distribution, to redirect client requests to servers. We took into account two energy reduction techniques, Dynamic Voltage Frequency Scaling (DVFS) and server consolidation. We applied these energy reduction techniques in the context of a CDN at surrogate server level and injected them in load-balance and load-unbalance policies to have energy savings. In order to evaluate our proposed policies and mechanisms, we have emphasized, how efficiently the CDN resources are utilized, at what energy cost, its impact on user experience and on quality of infrastructure management. For that purpose, we have considered surrogate server's utilization, energy consumption, energy per request, mean response time, hit ratio and failed requests as evaluation metrics. In order to analyze energy reduction and its impact on user experience, energy consumption, mean response time and failed requests are considered more important parameters. We have transformed a discrete event simulator CDNsim into Green CDNsim and evaluated our proposed work in different scenarios of a CDN by changing: CDN surrogate infrastructure (number of surrogate servers), traffic load (number of client requests) and traffic intensity (client requests frequency) by taking into account previously discussed evaluation metrics. We are the first who proposed DVFS and the combination of DVFS and consolidation in a CDN simulation environment, considering load-balance and loadunbalance policies. We have concluded that energy reduction techniques offer considerable energy savings while user experience is degraded. We have exhibited that server consolidation technique performs better in energy reduction while surrogate servers are lightly loaded. While, DVFS impact is more considerable for energy gains when surrogate servers are well loaded. Impact of DVFS on user experience is lesser than that of server consolidation. Combination of both (DVFS and server consolidation) presents more energy savings at higher cost of user experience degradation in comparison when both are used individually
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Farahat, Sameer Ismail. "Electron energy distribution functions in radio-frequency discharges." Thesis, University of Oxford, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.361940.

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Pedersen, Linda. "Load Modelling of Buildings in Mixed Energy Distribution Systems." Doctoral thesis, Norwegian University of Science and Technology, Department of Energy and Process Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-1562.

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The main topic of this thesis has been the development of a new method for load modelling of buildings in mixed energy distribution systems. The method estimates design load profiles, yearly load profiles, load duration profiles and annual expected energy demand for a specified planning area, all divided into heat and electricity purposes. The heat load demand includes end-uses such as space heating, ventilation heating and hot tap water, while electricity load demand includes end-uses such as lighting, pumps, fans, and electrical appliances.

The model has been based on statistical analyses of simultaneous hourly district heat and electricity consumption data for a number of buildings. Consumption data have been collected from TEV Fjernvarme and BKK Varme, two district heating companies in Trondheim and Bergen respectively.

The heat load model has been based on piece-wise linear regression analyses to estimate the change-point temperature for temperaturedependent heat consumption. Linear regression analyses have been performed on the temperature-dependent consumption for all hours of the day for two different day types, weekdays and weekends/holidays. The normal distribution has been used on the temperature-independent consumption, which is mainly hot tap water. Expected values and standard deviations for all buildings analysed have been calculated for both temperature-dependent and temperature-independent consumption.

The electricity load model has been based on continuous probability distributions, such as normal distribution, lognormal distribution and Student’s t distribution. The last distribution has shown the best fit for all hours and day types in most cases. Expected values and standard deviations for all buildings analysed have been calculated for winter, spring/fall and summer seasons.

Generalised relative load profiles have been developed for various building categories based on the heat and electricity load model. Single family houses and apartment blocks, office buildings, educational buildings, hospital buildings, and hotels and restaurants are the building categories that have been analysed. Specific heat and electricity load and energy indicators, given in [W/m2] and [ kWh/m2], have also been developed for all building categories. The specific load indicators have been used to restore the design load profiles from relative to real values in order to find the maximum heat and electricity demand for a specified planning area. The specific energy indicators have been used to convert the normalised yearly load profiles, and consequently, the normalised load duration profiles into real values.

A method for load aggregation for a specified planning area has also been developed based on the sum of independent variables from the same distribution. 95% quantile analysis based on the Student’s t distribution has been applied to incorporate the uncertainty in the load profiles developed. The installed capacity, and thereby the investment costs for the energy production unit(s) and distribution system(s), are decided by the design load profiles and load duration profiles. The system’s operation costs are given by the yearly load profiles and annual expected energy demand.

A theoretical case study has been performed to illustrate how to apply the generalised relative load profiles, along with the specific load and energy indicators, for the purpose of planning for mixed energy distribution systems.


Paper II reprinted with kind permission of Elsevier, sciencedirect.com
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Wilbur, Thomas M. "Energy distribution of Cerenkov radiation for finite frequency intervals." Thesis, Monterey, California. Naval Postgraduate School, 1987. http://hdl.handle.net/10945/22254.

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Gutierrez, Lagos Luis Daniel. "Advanced voltage control for energy conservation in distribution networks." Thesis, University of Manchester, 2018. https://www.research.manchester.ac.uk/portal/en/theses/advanced-voltage-control-for-energy-conservation-in-distribution-networks(2718dcf1-f5db-45df-84e2-4890956ba8b1).html.

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The increasing awareness on the effect of carbon emissions in our planet has led to several countries to adopt targets for their reduction. One way of contributing to this aim is to use and distribute electricity more efficiently. In this context, Conservation Voltage Reduction (CVR), a well-known technique that takes advantage of the positive correlation between voltage and demand to reduce energy consumption, is gaining renewed interest. This technique saves energy by only reducing customer voltages, without relying on customer actions and, therefore, can be controlled by the Distribution Network Operator (DNO). CVR not only brings benefits to the electricity system by reducing generation requirements (fewer fossil fuel burning and carbon emissions), but also to customers, as energy bill reductions. The extent to which CVR can bring benefits mainly depends on the customers load composition and their voltages. While the former dictates the voltage-demand correlation, the latter constraints the voltage reduction that can be applied without violating statutory limits. Although CVR has been studied for many years, most of the studies neglect the time-varying voltage-demand characteristic of loads and/or do not assess end customer voltages. While these simplifications could be used to estimate CVR benefits for fixed and limited voltage reductions, realistic load and network models are needed to assess the performance of active CVR schemes, where voltages are actively managed to be close to the minimum limit. Moreover, distribution networks have been traditionally designed with limited monitoring and controllability. Therefore, CVR has been typically implemented by adopting conservative voltage reductions from primary substations, for both American and European-style networks. However, as new infrastructure is deployed in European-style LV networks (focus of this work), such as monitoring and on-load tap changers (OLTCs), the opportunity arises to actively manage voltages closer to end customer (unlocking further energy savings). Although these technologies have shown to effectively control voltages in LV networks, their potential for CVR has not been assessed before. Additionally, most CVR studies were performed in a context where distributed generation (DG) was not common. However, this has changed in many countries, with residential photovoltaic (PV) systems becoming popular. As this is likely to continue, the interactions of residential PV and CVR need to be studied. This thesis contributes to address the aforementioned literature gaps by: (i) proposing a simulation framework to characterise the time-varying voltage-demand correlation of individual end customers; (ii) developing a process to model real distribution networks (MV and LV) from DNO data; (iii) adopting a Monte Carlo-based quantification process to cater for the uncertainties related to individual customer demand; (iv) assessing the CVR benefits that can be unlocked with new LV infrastructure and different PV conditions. To accomplish (iv), first, a simple yet effective rule-based scheme is proposed to actively control voltages in OLTC-enabled LV networks without PV and using limited monitoring. It is demonstrated that by controlling voltages closer to customers, annual energy savings can increase significantly, compared to primary substation voltage reductions. Also, to understand the effect of PV on CVR, a centralized, three-phase AC OPF-based CVR scheme is proposed. This control, using monitoring, OLTCs and capacitors across MV and LV networks, actively manages voltages to minimize energy consumption in high PV penetration scenarios whilst considering MV-LV constraints. Results demonstrate that without CVR, PV systems lead to higher energy imports for customers without PV, due to higher voltages. Conversely, the OPF-based CVR scheme can effectively manage voltages throughout the day, minimising energy imports for all customers. Moreover, if OLTCs at secondary substations are available (and managed in coordination with the primary substation OLTC), these tend to regulate customer voltages close to the minimum statutory limit (lower tap positions), while the primary OLTC delivers higher voltages to the MV network to also reduce MV energy losses.
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AbdelMeguid, Hossam Saadeldin. "Pressure, leakage and energy management in water distribution systems." Thesis, De Montfort University, 2011. http://hdl.handle.net/2086/4905.

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A fast and efficient method to calculate time schedules for internal and boundary PRVs and flow modulation curves has been developed and implemented. Both time and flow modulation can be applied to a single inlet DMA. The time modulation methodology is based on solving a nonlinear programming problem (NLP). In addition, Genetic Algorithms (GA) has been proposed and investigated to calculate the optimal coefficients of a second order relationship between the flow and the outlet pressure for a PRV to minimize the background leakage. The obtained curve can be subsequently implemented using a flow modulation controller in a feedback control scheme. The Aquai-Mod® is a hydraulic device to control and modulate the outlet pressure of a PRV according to the valve flow. The controller was experimentally tested to assess its performance and functionality in different conditions and operating ranges. The mathematical model of the controller has been developed and solved, in both steady state and dynamic conditions. The results of the model have been compared with the experimental data and showed a good agreement in the magnitude and trends. A new method for combined energy and pressure management via integration and coordination of pump scheduling with pressure control aspects has been created. The method is based on formulating and solving an optimisation NLP problem and involves pressure dependent leakage. The cost function of the optimisation problem represents the total cost of water treatment and pumping energy. Developed network scheduling algorithm consists of two stages. The first stage involves solving a continuous problem, where operation of each pump is described by continuous variable. Subsequently, the second stage continuous pump schedules are discretised using heuristic algorithm. Another area of research has been developing optimal feedback rules using GA to control the operation of pump stations. Each pump station has a rule described by two water levels in a downstream reservoir and a value of pump speed for each tariff period. The lower and upper water switching levels of the downstream reservoir correspond to the pump being “ON” or “OFF”. The achieved similar energy cost per 1 Ml of pumped water. In the considered case study, the optimal feedback rules had advantage of small number of ON/OFF switches, which increase the pump stations lifetime and reduce the maintenance cost as well.
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Molina, Gustavo Jose. "Triboemission From Ceramics: Charge Intensity and Energy Distribution Characterizations." Diss., Virginia Tech, 2000. http://hdl.handle.net/10919/28217.

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Lubrication of ceramics is a difficult and not completely solved problem. Ceramics do not respond to conventional lubricants which are designed to function by a chemical reaction with the surface. There is, accordingly, increased interest in the development of lubrication alternatives for ceramics, and in understanding the tribochemical fundamentals by which new lubrication processes can be designed and controlled. In particular, the mechanism of tribopolymerization for some addition-type monomers is thought to be initiated and controlled by triboemitted low-energy electrons. This Ph.D. dissertation presents the experimental work carried out at the Virginia Polytechnic Institute and State University for the characterization of charge intensity and energy distribution of charged-particles triboemitted from sliding contacts of ceramics. A review is presented of research work on tribochemistry and, in particular, on tribopolymerization as a lubrication mechanism. Relevant literature is also reviewed on the phenomena of exoemission, triboemission and fractoemission of charged-particles. The design, construction and development of a new instrument and data acquisition system to carry out triboemission measurements under high vacuum and for controlled load, sliding speed and retarding grid-voltage is described. The charge intensity is characterized of the particles triboemitted from two related ceramics, alumina and sapphire, and from one metallic material, i.e., aluminum, when scratched by a diamond pin. In the case of alumina, triboemitted-charge intensity also is studied by sliding contact of an alumina ball. Burst-type negatively-charged particle triboemission was observed from diamond-on-alumina, diamond-on-sapphire, and alumina-on-alumina sliding contacts. The different crystalline structure, i.e., of alumina and sapphire, does not appear to be a factor in electron triboemission. In general, large bursts of electron triboemission may appear superimposed on a constant lower level of small-burst emission. This constant level, being higher than background-noise, does not vary between different ceramic specimens, while maximum levels of triboemission-bursts differ by two orders of magnitude between different specimens. The characteristic decay-time of the triboemission bursts is found of about 100ms. Lower-level decaying post-contact emission of negatively-charged particles from ceramics is observed. Low negatively-charged triboemission was observed from diamond-on-aluminum sliding contacts. The positively-charged triboemission from these sliding material systems was also measured. Low positive-ion emission, barely above background level, was observed for the diamond-on-ceramics and alumina-on-alumina systems. The retarded-energy spectra of the negatively-charged particle triboemissions from ceramics were also obtained. Such spectra show decaying rates of triboemission for increasing minimum energy of the triboemitted particles: an important fraction of the total electron triboemission is produced in the zero to 5eVolts energy-range, with a decaying tail extending beyond the test maximum level of 48 Volts. These experimental measurements are discussed with a focus on the possible role of triboemitted charged-particles in tribopolymerization as a mechanism of ceramic lubrication. It is concluded that low-energy electrons are emitted in bursts from ceramics under sliding contact, the essential first step in the hypotheses of tribopolymerization of certain addition-type monomers, while positively-charged emission is negligible. These findings strongly support tribopolymerization results from previous research. A frequency domain analysis of the triboemission data is carried out. For the electron-triboemission outputs, a characteristic pattern is found for the experimentally estimated frequencies of occurrence of the triboemitted particles. A new probability distribution, called "Convoluted Poisson" is developed to describe this triboemission data. Good agreement is found between the probabilities of triboemitted-particle occurrence, as predicted by such distribution, and the experimental probabilities estimated from triboemission outputs. The significance of the two parameters defining this "Convoluted Poisson" distribution is explored and discussed with a focus on basic surface-change phenomena.
Ph. D.
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Ding, Fei. "Smart Distribution System Automation: Network Reconfiguration and Energy Management." Case Western Reserve University School of Graduate Studies / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=case1417291114.

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Maleki, Delarestaghi Javid. "Planning of power distribution networks in local energy communities." Thesis, Maleki Delarestaghi, Javid (2021) Planning of power distribution networks in local energy communities. PhD thesis, Murdoch University, 2021. https://researchrepository.murdoch.edu.au/id/eprint/61844/.

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Recent technological advances, the global understanding of climate change and the role that renewable energy resources can play, along with the rise in electricity prices and little incentive for feeding the excess PV generation back to the grid have led to the growing interest among end-users in residential solar photovoltaic (PV) systems with battery storage systems. The recently released Western Australian Climate Policy sets the goal of achieving net-zero greenhouse gas emissions (GGE) by 2050. The rapid growth in distributed energy resources (DER) has changed the load pattern in distribution networks (DNs). As more DER facilities are introduced to the electric power systems, the power utilities undertake more investments in infrastructure to tackle the uncertainties pertaining to DER and manage the voltage issues due to increasing DER penetration. In these cases, the conventional planning models will result in over- or under-investment choices due to limited knowledge about end-users, which ultimately leads to financial losses for both the utility and customers. In order to effectively plan DNs for the future utilities need to understand the possible changes at the end-users’ side, which is missing in the existing literature. To achieve the optimal plan for the modern power distribution networks, all parties should be considered including the utility and end-users. There is also a critical need for better network charge tariffs designs to reflect the true contribution of customer DER in the cost of poles and wires. This thesis studies planning models for power utilities incorporating a model of end-users’ decisions. This enables utilities to see the most likely possible scenarios of end-users’ investment in DER. The main contributions of this thesis are: 1. Development of a DN planning model that incorporates the expected end-users’ investments in DER. This model enables the utility to investigate the opportunities and challenges offered by end-users’ DER and presents more cost-effective investment plans for the utility. 2. Further development of a DN planning model through formulating a separate optimisation problem for the end-users. This model allows both the utility and end-uses to maximise their own benefits. 3. Inclusion of a local energy market where end-users can trade energy with other end-users in their neighbourhood providing more convenient prices for buyers and higher benefits for sellers. 4. Design of a network charge allocation scheme for the utility to rationalise the network use. This will help the utility to avoid unnecessary investment in the network. 5. Development of solution techniques using distributed optimisation algorithms and decomposition techniques to enhance the computation speed. 6. Formulation of a novel optimal power flow problem based on the concept of the Stackelberg game and Benders decomposition. This model provides more cost-effect solutions and is faster than existing models. The simulations reveal that the proposed planning model enables power utilities to avoid overinvestments while motivating the increased installation of DER by end-users. In essence, the numerical studies show that the proposed planning model led to 75% reduction in the cost of network investment and 70% reduction in the total cost of planning and operation for the utility compared to existing planning models. As well as this the penetration of customer DER increased by 20% using our proposed model. The proposed model also reduced the total cost of electrification by 4%. The numerical studies also show that the proposed dynamic network charge tariff design can effectively reflect the true contribution of customers to the cost of network upgrade. Essentially, the loading of lines and distribution transformers decreased by up to 30% which resulted in lower grid losses and avoided unnecessary costly infrastructure investments. The deviation of the node voltages from 1 per unit was also improved by a factor of 11%.
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Zhang, Chenghua. "Peer-to-peer energy trading in electrical distribution networks." Thesis, Cardiff University, 2017. http://orca.cf.ac.uk/109074/.

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In response to the challenges posed by the increasing penetration of distributed generation from renewable energy sources and the increasing electricity retail prices with decreasing Feed-In Tariff rates, a new energy trading arrangement, “peer-to-peer (P2P) energy trading” has been proposed. It refers to the direct energy trading among consumers and prosumers in distribution networks, which is developed based on the “P2P economy” concept (also known as sharing economy). A hierarchical system architecture model has been proposed in order to identify and categorise the key elements and technologies involved in P2P energy trading. A P2P energy trading platform called “Elecbay” is designed. The P2P bidding is simulated using game theory. Test results in a grid-connected LV Microgrid with distributed generators and flexible demands show that P2P energy trading is able to improve the local balance of energy generation and consumption, and the enhanced variety of peers is able to further facilitate the balance. Two necessary control systems are proposed for the Microgrid with “Elecbay”. A voltage control system which combines droop control and on-load-tap-changer (OLTC) control is designed and simulated. Simulation results show that the proposed voltage control system is sufficient for supporting the P2P energy trading in the Microgrid. The total number of operation times of the OLTC is reduced with P2P energy trading compared to the reference scenario. The information and communication technology (ICT) infrastructures for the P2P bidding platform and the voltage control system are investigated. The information exchange among peers and other parties (Elecbay, distribution system operators, etc.) is designed based on TCP/IP protocol. Existing and private communication networks with different communication medium, bandwidths, etc., are modelled. Simulation results show that the existing ICT infrastructures are sufficient for supporting both the P2P energy trading platform and the voltage control system. Therefore, no large amount of additional investments are required.
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Books on the topic "Energy Distribution"

1

Szkutnik, Jerzy. Logistic management of electrical energy distribution. Kos̆ice: Mercury-Smékal Publishing House, 2005.

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Alcântara, Enner Herenio de. Energy resources: Development, distribution, and exploitation. Hauppauge, N.Y: Nova Science Publishers, 2011.

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Modelling distributed energy resources in energy service networks. London: Institution of Engineering and Technology, 2013.

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Generation, distribution, and utilization of electrical energy. New York: Wiley, 1989.

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Beaudreau, Bernard C. Energy and organization: Growth and distribution reexamined. Westport, Conn: Greenwood Press, 1998.

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Salazar-Carrillo, Jorge. Sources of energy in Florida: Supply and distribution. [Miami, Fla.]: Center of Economic Research, Dept. of Economics, Florida International University, 1989.

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Prévost, Pierre. Québec energy atlas. Québec: [Direction des communications, Ministère de l'énergie et des ressources], 1989.

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Commission, Victoria Essential Services. Energy retailer of last resort: Final decision. Melbourne, Vic: Essential Services Commission, 2006.

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Williamson, A. C. Introduction to electrical energy systems. Harlow, Essex, England: Longman Scientific & Technical, 1988.

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Holderbaum, William, Feras Alasali, and Ayush Sinha. Energy Forecasting and Control Methods for Energy Storage Systems in Distribution Networks. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-82848-6.

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Book chapters on the topic "Energy Distribution"

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Papachristou, Costas J. "Distribution of Energy." In Introduction to Electromagnetic Theory and the Physics of Conducting Solids, 45–61. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30996-1_3.

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Todreas, Neil E., and Mujid S. Kazimi. "Reactor Energy Distribution." In Nuclear Systems Volume I, 71–122. Third edition. | Boca Raton : CRC Press, 2021- |: CRC Press, 2021. http://dx.doi.org/10.1201/9781351030502-3.

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Lewiner, Colette. "Electricity Distribution." In European Energy Markets Observatory, 64–67. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-2753-3_10.

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Lewiner, Colette. "Gas Distribution." In European Energy Markets Observatory, 77–78. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-2753-3_13.

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Sedghi, Mahdi, Ali Ahmadian, Ali Elkamel, Masoud Aliakbar Golkar, and Michael Fowler. "Battery Energy Storage Planning." In Electric Distribution Network Planning, 185–214. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7056-3_7.

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Mueller, Richard W. "Solar Irradiance solar irradiance/irradiation , Global Distribution solar irradiance/irradiation global distribution." In Solar Energy, 553–83. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-5806-7_447.

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Capehart, Barney L., William J. Kennedy, and Wayne C. Turner. "Steam Distribution Systems." In Guide to Energy Management, 369–96. Eighth edition, International version. | Lilburn, GA : The Fairmont Press, Inc., [2016]: River Publishers, 2020. http://dx.doi.org/10.1201/9781003152002-10.

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Capehart, Barney L., William J. Kennedy, and Wayne C. Turner. "Electrical Distribution Systems." In Guide to Energy Management, 177–97. Eighth edition, International version. | Lilburn, GA : The Fairmont Press, Inc., [2016]: River Publishers, 2020. http://dx.doi.org/10.1201/9781003152002-5.

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Kopsakangas-Savolainen, Maria, and Rauli Svento. "Efficiency of Electricity Distribution." In Modern Energy Markets, 65–90. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2972-1_7.

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Kopsakangas-Savolainen, Maria, and Rauli Svento. "Regulating Electricity Distribution Utilities." In Modern Energy Markets, 105–17. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2972-1_9.

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Conference papers on the topic "Energy Distribution"

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He, Mike M., Evan M. Reutzel, Xiaofan Jiang, Randy H. Katz, Seth R. Sanders, David E. Culler, and Ken Lutz. "An Architecture for Local Energy Generation, Distribution, and Sharing." In 2008 IEEE Energy 2030 Conference (Energy). IEEE, 2008. http://dx.doi.org/10.1109/energy.2008.4781028.

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Liu, Y., J. Bebic, B. Kroposki, J. de Bedout, and W. Ren. "Distribution System Voltage Performance Analysis for High-Penetration PV." In 2008 IEEE Energy 2030 Conference (Energy). IEEE, 2008. http://dx.doi.org/10.1109/energy.2008.4781069.

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Tonkoski, Reinaldo, and Luiz A. C. Lopes. "Voltage Regulation in Radial Distribution Feeders with High Penetration of Photovoltaic." In 2008 IEEE Energy 2030 Conference. IEEE, 2008. http://dx.doi.org/10.1109/energy.2008.4781021.

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Araujo, Julio, Frederic Giroire, Yaning Liu, Remigiusz Modrzejewski, and Joanna Moulierac. "Energy efficient content distribution." In ICC 2013 - 2013 IEEE International Conference on Communications. IEEE, 2013. http://dx.doi.org/10.1109/icc.2013.6655228.

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Fischer, Daniel, Stefan Föll, Klaus Herrmann, and Kurt Rothermel. "Energy-efficient workflow distribution." In the 5th International Conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2016551.2016553.

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Hall, J., D. Blanchette, D. Shelvey, C. Senkow, and J. Waddell. "Modernizing a distribution system." In Energy Conference (EPEC). IEEE, 2011. http://dx.doi.org/10.1109/epec.2011.6070219.

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Xiong, Ning, Xueting Zhang, Hua Zhang, Yuan Xiao, and Ming Gao. "Research on Differential Distribution Price of Incremental Distribution Network." In 2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2020. http://dx.doi.org/10.1109/ei250167.2020.9346797.

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Lakshmi, G. Sree, Olena Rubanenko, G. Divya, and V. Lavanya. "Distribution Energy Generation using Renewable Energy Sources." In 2020 IEEE India Council International Subsections Conference (INDISCON). IEEE, 2020. http://dx.doi.org/10.1109/indiscon50162.2020.00033.

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Yan, Yong, Zhiyun Sun, Qizhen Wei, Hewei Chen, and Xiaolong Lu. "Optimal allocation of energy storage in airport multi energy system with variable energy efficiencies." In 2022 China International Conference on Electricity Distribution (CICED). IEEE, 2022. http://dx.doi.org/10.1109/ciced56215.2022.9928816.

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Lai, Baixi, Ping Yi, Yu Sui, and Qingquan Zhang. "Energy Distribution in EV Energy Network under Energy Shortage." In 2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS). IEEE, 2019. http://dx.doi.org/10.1109/hpcc/smartcity/dss.2019.00363.

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Reports on the topic "Energy Distribution"

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Hledik, Ryan, Jim Lazar, and Lisa Schwartz. Distribution System Pricing with Distributed Energy Resources. Office of Scientific and Technical Information (OSTI), August 2017. http://dx.doi.org/10.2172/1375194.

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Khashaee, Payam, Bijan Mohraz, Fahim Sadek, H. S. Lew, and John L. Gross. Distribution of earthquake input energy in structures. Gaithersburg, MD: National Institute of Standards and Technology, 2003. http://dx.doi.org/10.6028/nist.ir.6903.

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Buche, D. L., and S. Perry. Automated Energy Distribution and Reliability System Status Report. Office of Scientific and Technical Information (OSTI), October 2007. http://dx.doi.org/10.2172/918445.

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EMC ENGINEERS INC DENVER CO. Limited Energy Study, Power Distribution, Fort Greely, Alaska. Fort Belvoir, VA: Defense Technical Information Center, March 1996. http://dx.doi.org/10.21236/ada330504.

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EMC ENGINEERS INC DENVER CO. Limited Energy Study, Power Distribution. Fort Greely, Alaska. Fort Belvoir, VA: Defense Technical Information Center, March 1996. http://dx.doi.org/10.21236/ada330722.

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Burov, Alexey, Sergei Nagaitsev, and Alexander Shemyakin. Energy distribution in a relativistic DC electron beam. Office of Scientific and Technical Information (OSTI), November 2000. http://dx.doi.org/10.2172/767336.

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Maximon, Leonard C., and Alfred Lepretre. Angular distribution of high energy electrons following radiation. Gaithersburg, MD: National Bureau of Standards, 1985. http://dx.doi.org/10.6028/nbs.ir.84-2854.

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De Martini, Paul, Lorenzo Kristov, and Lisa Schwartz. Distribution Systems in a High Distributed Energy Resources Future. Office of Scientific and Technical Information (OSTI), November 2015. http://dx.doi.org/10.2172/1242415.

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Buche, D. L. Automated Energy Distribution and Reliability System (AEDR): Final Report. Office of Scientific and Technical Information (OSTI), July 2008. http://dx.doi.org/10.2172/937332.

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Barnes, P. R., J. W. Van Dyke, B. W. McConnell, and S. Das. Determination analysis of energy conservation standards for distribution transformers. Office of Scientific and Technical Information (OSTI), July 1996. http://dx.doi.org/10.2172/405744.

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