Journal articles: 'Hosting Capacity'

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Chan, Tony K. C., Yiu-Wing Leung, and Ernest C. M. Lam. "Web hosting with statistical capacity guarantee." Information Sciences 254 (January 2014): 54–68. http://dx.doi.org/10.1016/j.ins.2013.08.017.

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Mulenga, Enock, Math H. J. Bollen, and Nicholas Etherden. "Adapted Stochastic PV Hosting Capacity Approach for Electric Vehicle Charging Considering Undervoltage." Electricity 2, no. 3 (September 17, 2021): 387–402. http://dx.doi.org/10.3390/electricity2030023.

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This paper presents a stochastic approach to single-phase and three-phase EV charge hosting capacity for distribution networks. The method includes the two types of uncertainties, aleatory and epistemic, and is developed from an equivalent method that was applied to solar PV hosting capacity estimation. The method is applied to two existing low-voltage networks in Northern Sweden, with six and 83 customers. The lowest background voltage and highest consumption per customer are obtained from measurements. It is shown that both have a big impact on the hosting capacity. The hosting capacity also depends strongly on the charging size, within the range of charging size expected in the near future. The large range in hosting capacity found from this study—between 0% and 100% of customers can simultaneously charge their EV car—means that such hosting capacity studies are needed for each individual distribution network. The highest hosting capacity for the illustrative distribution networks was obtained for the 3.7 kW single-phase and 11 kW three-phase EV charging power.

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Filip, Robin, Verner Püvi, Martin Paar, and Matti Lehtonen. "Analyzing the Impact of EV and BESS Deployment on PV Hosting Capacity of Distribution Networks." Energies 15, no. 21 (October 25, 2022): 7921. http://dx.doi.org/10.3390/en15217921.

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The current article analyzes the impact of charging electric vehicles and battery energy storage systems on the photovoltaic hosting capacity of low-voltage distribution networks. A Monte Carlo-based simulation is used to analyze predominantly rural, intermediate and predominantly urban residential regions facing different penetrations of electric vehicles utilizing uncontrolled and controlled charging, and evaluate their impact on photovoltaic hosting capacity. Subsequently, electric vehicles are replaced or supplemented by residential battery energy storage systems, and their combined impact on the hosting capacity is studied. The results revealed that electric vehicles solely do not improve the hosting capacity unless they are connected to the network during sunshine hours. However, controlled storage provides a remarkable increase to the hosting capacity and exceptional contribution in combination with electric vehicles and customers with high loads. Finally, a feasibility analysis showed that controlled charging of the storage has a lower marginal cost of increasing hosting capacity as compared to network reinforcement.

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Al-Saadi, Hassan, Rastko Zivanovic, and Said F. Al-Sarawi. "Probabilistic Hosting Capacity for Active Distribution Networks." IEEE Transactions on Industrial Informatics 13, no. 5 (October 2017): 2519–32. http://dx.doi.org/10.1109/tii.2017.2698505.

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Alturki, Mansoor, Amin Khodaei, Aleksi Paaso, and Shay Bahramirad. "Optimization-based distribution grid hosting capacity calculations." Applied Energy 219 (June 2018): 350–60. http://dx.doi.org/10.1016/j.apenergy.2017.10.127.

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Leopkey, Becca, and Dana Ellis. "Sport event hosting capacity as event legacy: Canada and the hosting of FIFA events." Sport, Business and Management: An International Journal 9, no. 1 (March 11, 2019): 45–62. http://dx.doi.org/10.1108/sbm-09-2017-0047.

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Purpose The purpose of this paper is to explore how a legacy of event hosting competencies from one event can contribute to advancing the overall hosting capacity of a nation for future events. More specifically, the project focuses on determining the event hosting capacity legacies from the Men’s Under-20 2007 Fédération Internationale de Football Association (FIFA) event in Canada and how they contributed toward winning the rights for the Women’s FIFA World Cup 2015 event. Design/methodology/approach A qualitative case study design focusing on FIFA events held in Canada in 2007 and 2015 was used. Findings Four broad event hosting capacity legacies from the U-20 2007 event that potentially impacted Canada’s ability to secure the WWC 2015 were identified. These legacies included: exemplifying success, advancement of hosting concepts, staff and leadership experience and development and enhancement of sporting infrastructure. Research limitations/implications The findings formed the basis of a discussion on the increasing formalization of event organizing committees, the need to consider collective (i.e. multiple events) legacies in the development of hosting strategies as well as the importance of developing the trust of the local community to support future sport event bids and hosting. Originality/value The originality and value of this research paper lies in its use of empirical case study findings to illustrate the potential for hosting capacity legacies of sporting events as well as the level and type of event under investigation (i.e. large-scale, football/soccer).

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Ljubojev, Nataša. "PRORAČUN HOSTING CAPACITY-A U SREDNJENAPONSKOJ DISTRIBUTIVNOJ MREŽI." Zbornik radova Fakulteta tehničkih nauka u Novom Sadu 36, no. 09 (September 7, 2021): 1513–16. http://dx.doi.org/10.24867/14be10ljubojev.

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U ovom radu prikazan je pristup za određivanje Hosting Capacity-a u distributivnoj mreži. Cilj je da se ispita uticaj različitih faktora na Hosting Capacity, kao što su različiti indeksi performansi, njihova ograničenja, ali i uticaj proizvodnje i potrošnje. Verifikacija problema izvršena je na srednjenaponskoj distributivnoj mreži od 15 čvorova.

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Islam, Md Tariqul, and M. J. Hossain. "Artificial Intelligence for Hosting Capacity Analysis: A Systematic Literature Review." Energies 16, no. 4 (February 13, 2023): 1864. http://dx.doi.org/10.3390/en16041864.

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Distribution network operators face technical and operational challenges in integrating the increasing number of distributed energy resources (DER) with the distribution network. The hosting capacity analysis quantifies the level of power quality violation on the network due to the high penetration of the DER, such as over voltage, under voltage, transformer and feeder overloading, and protection failures. Real-time monitoring of the power quality factors such as the voltage, current, angle, frequency, harmonics and overloading that would help the distribution network operators overcome the challenges created by the high penetration of the DER. In this paper, different conventional hosting capacity analysis methods have been discussed. These methods have been compared based on the network constraints, impact factors, required input data, computational efficiency, and output accuracy. The artificial intelligence approaches of the hosting capacity analysis for the real-time monitoring of distribution network parameters have also been covered in this paper. Different artificial intelligence techniques have been analysed for sustainable integration, power system optimisation, and overcoming real-time monitoring challenges of conventional hosting capacity analysis methods. An overview of the conventional hosting capacity analysis methods, artificial intelligence techniques for overcoming the challenges of distributed energy resources integration, and different impact factors affecting the real-time hosting capacity analysis has been summarised. The distribution system operators and researchers will find the review paper as an easy reference for planning and further research. Finally, it is evident that artificial intelligence techniques could be a better alternative solution for real-time estimation and forecasting of the distribution network hosting capacity considering the intermittent nature of the DER, consumer loads, and network constraints.

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Abad, Mohammad Seydali Seyf, Jennifer A. Hayward, Saad Sayeef, Peter Osman, and Jin Ma. "Tidal Energy Hosting Capacity in Australia’s Future Energy Mix." Energies 14, no. 5 (March 8, 2021): 1479. http://dx.doi.org/10.3390/en14051479.

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This paper outlines a methodology to determine the amount of renewable energy that can be accommodated in a power system before adverse impacts such as over-voltage, over-loading and system instability occur. This value is commonly known as hosting capacity. This paper identifies when the transmission network local hosting capacity might be limited because of static and dynamic network limits. Thus, the proposed methodology can effectively be used in assessing new interconnection requests and provides an estimation of how much and where the new renewable generation can be located such that network upgrades are minimized. The proposed approach was developed as one of the components of the AUSTEn project, which was a three-year project to map Australia’s tidal energy resource in detail and to assess its economic feasibility and ability to contribute to the country’s energy needs. In order to demonstrate the effectiveness of the proposed approach, two wide area networks were developed in DIgSILENT PowerFactory based on actual Australian network data near two promising tidal resource sites. Then, the proposed approach was used to assess the local tidal hosting capacity. In addition, a complementary local hosting capacity analysis is provided to show the importance of future network upgrades on the locational hosting capaity.

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Seydali Seyf Abad, Mohammad, Jin Ma, Ahmad Ahmadyar, and Hesamoddin Marzooghi. "Distributionally Robust Distributed Generation Hosting Capacity Assessment in Distribution Systems." Energies 11, no. 11 (November 1, 2018): 2981. http://dx.doi.org/10.3390/en11112981.

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Uncertainties associated with the loads and the output power of distributed generations create challenges in quantifying the integration limits of distributed generations in distribution networks, i.e., hosting capacity. To address this, we propose a distributionally robust optimization-based method to determine the hosting capacity considering the voltage rise, thermal capacity of the feeders and short circuit level constraints. In the proposed method, the uncertain variables are modeled as stochastic variables following ambiguous distributions defined based on the historical data. The distributionally robust optimization model guarantees that the probability of the constraint violation does not exceed a given risk level, which can control robustness of the solution. To solve the distributionally robust optimization model of the hosting capacity, we reformulated it as a joint chance constrained problem, which is solved using the sample average approximation technique. To demonstrate the efficacy of the proposed method, a modified IEEE 33-bus distribution system is used as the test-bed. Simulation results demonstrate how the sample size of historical data affects the hosting capacity. Furthermore, using the proposed method, the impact of electric vehicles aggregated demand and charging stations are investigated on the hosting capacity of different distributed generation technologies.

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Kim, Hyun-Tae, Jungju Lee, Myungseok Yoon, Moon-Jeong Lee, Namhun Cho, and Sungyun Choi. "Continuation Power Flow Based Distributed Energy Resource Hosting Capacity Estimation Considering Renewable Energy Uncertainty and Stability in Distribution Systems." Energies 13, no. 17 (August 24, 2020): 4367. http://dx.doi.org/10.3390/en13174367.

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Recently, the demand for electricity has been increasing worldwide. Thus, more attention has been paid to renewable energy. There are acceptable limits during the integration of renewable energy into distribution systems because there are many effects of integrating renewable energy. Unlike previous studies that have estimated the distributed energy resource (DER) hosting capacity using the standard high voltage and probability approach, in this study, we propose an algorithm to estimate the DER hosting capacity by considering DER outages due to abrupt disturbances or uncertainties based on the generator ramp rate and voltage stability, which involves analysis of the low-voltage aspects. Furthermore, this method does not involve a complicated process or need large amounts of data to estimate the DER hosting capacity because it requires only minimum data for power flow. The proposed algorithm was applied to the IEEE-33 radial distribution system. According to the DER capacity, a voltage stability analysis based on continuation power flow (CPF) was conducted in a case of DER outage to estimate the DER hosting capacity in this case study. Thus, the DER hosting capacity was estimated for the IEEE-33 radial distribution system.

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Song, Jin-Sol, Ji-Soo Kim, Barry Mather, and Chul-Hwan Kim. "Hosting Capacity Improvement Method Using MV–MV Solid-State-Transformer." Energies 14, no. 3 (January 26, 2021): 622. http://dx.doi.org/10.3390/en14030622.

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As a large number of distributed generations are connected to the distribution system, research on the hosting capacity is actively being conducted. In particular, various methods, such as smart inverter functionality, co-located energy storage systems (ESS), and the use of on-load tap changers (OLTC), have been proposed to improve the hosting capacity. In this paper, a method to improve the hosting capacity by utilizing a solid-state transformer (SST) and its unique control capability is proposed. Lastly, the proposed method is verified in the distribution system of the Republic of Korea using the OpenDSS program.

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Procopiou, Andreas T., Michael Z. Liu, Luis F. Ochoa, Tom Langstaff, and Justin Harding. "Smart meter-driven estimation of PV hosting capacity." CIRED - Open Access Proceedings Journal 2020, no. 1 (January 1, 2020): 128–31. http://dx.doi.org/10.1049/oap-cired.2021.0287.

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Rylander, Matthew, Jeff Smith, and Wes Sunderman. "Streamlined Method for Determining Distribution System Hosting Capacity." IEEE Transactions on Industry Applications 52, no. 1 (January 2016): 105–11. http://dx.doi.org/10.1109/tia.2015.2472357.

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Lee, J., Jean-Philippe Bérard, G. Razeghi, and S. Samuelsen. "Maximizing PV hosting capacity of distribution feeder microgrid." Applied Energy 261 (March 2020): 114400. http://dx.doi.org/10.1016/j.apenergy.2019.114400.

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Dissanayake, Ramitha, Akila Wijethunge, Janaka Wijayakulasooriya, and Janaka Ekanayake. "Optimizing PV-Hosting Capacity with the Integrated Employment of Dynamic Line Rating and Voltage Regulation." Energies 15, no. 22 (November 15, 2022): 8537. http://dx.doi.org/10.3390/en15228537.

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A record amount of renewable energy has been added to global electricity generation in recent years. Among the renewable energy sources, solar photovoltaic (PV) is the most popular energy source integrated into low voltage distribution networks. However, the voltage limits and current-carrying capacity of the conductors become a barrier to maximizing the PV-hosting capacity in low voltage distribution networks. This paper presents an optimization approach to maximize the PV-hosting capacity in order to fully utilize the existing low voltage distribution network assets. To achieve the maximum PV-hosting capacity of the network, a novel method based on the dynamic line rating of the low voltage distribution network, the coordinated operation of voltage control methods and the PV re-phasing technique was introduced and validated using a case study. The results show that the proposed methodology can enhance the PV-hosting capacity by 53.5% when compared to existing practices.

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Karunarathne, Eshan, Akila Wijethunge, and Janaka Ekanayake. "Enhancing PV Hosting Capacity Using Voltage Control and Employing Dynamic Line Rating." Energies 15, no. 1 (December 25, 2021): 134. http://dx.doi.org/10.3390/en15010134.

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Photovoltaic (PV) system installation has encouraged to be further expedited to minimize climate change and thus, rooftop solar PV systems have been sparkled in every corner of the world. However, due to technological constraints linked to voltage and currents, the PV hosting capacity has been substantially constrained. Therefore, this paper proposes a competent approach to maximize PV hosting capacity in a low voltage distribution network based on voltage control and dynamic line rating of the cables. Coordinated voltage control is applied with an on-load tap changing transformer, and reactive power compensation and active power curtailment of PV inverters. A case study with probabilistic and deterministic assessments is carried out on a real Sri Lankan network to show how the PV hosting capacity is constrained. The findings revealed the capability of integrated voltage control schemes and dynamic line rating in maximizing hosting capacity. The study is expanded by incorporating the PV rephasing approach in conjunction with the aforementioned control techniques, and the effectiveness of PV-rephasing is clearly demonstrated. When compared to voltage control and conductor static rating, the combined rephasing, voltage control, and DLR yielded a 60% increase in PV hosting capacity.

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Liu, Dichen, Chenxu Wang, Fei Tang, and Yixi Zhou. "Probabilistic Assessment of Hybrid Wind-PV Hosting Capacity in Distribution Systems." Sustainability 12, no. 6 (March 11, 2020): 2183. http://dx.doi.org/10.3390/su12062183.

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In recent years, hybrid wind-photovoltaic (PV) systems are flourishing due to their advantages in the utilization of renewable energy. However, the accurate assessment of the maximum integration of hybrid renewable generation is problematic because of the complex uncertainties of source and demand. To address this issue, we develop a stochastic framework for the quantification of hybrid energy hosting capacity. In the proposed framework, historical data sets are adopted to represent the stochastic nature of production and demand. Moreover, extreme combinations of production and demand are introduced to avoid multiple load flow calculations. The proposed framework is conducted in the IEEE 33-bus system to evaluate both single and hybrid energy hosting capacity. The results demonstrate that the stochastic framework can provide accurate evaluations of hosting capacity while significantly reducing the computational burden. This study provides a comprehensive understanding of hybrid wind-PV hosting capacity and verifies the excellent performance of the hybrid energy system in facilitating integration and energy utilization.

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Grabner, Souvent, Suljanović, Košir, and Blažič. "Probabilistic Methodology for Calculating PV Hosting Capacity in LV Networks Using Actual Building Roof Data." Energies 12, no. 21 (October 25, 2019): 4086. http://dx.doi.org/10.3390/en12214086.

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There has been an increasing trend of integrating photovoltaic power plants (PVs). One of the important challenges for distribution system operators is to evaluate the total installed power of a PV that a particular network can host (or PV hosting capacity) while keeping voltage and element constraints within required limits. The major drawback of the existing methods for calculating PV hosting capacity is that they use the same installed power of the PV systems for all simulated PVs, as these methods do not use external data sources about building roofs. As a consequence, this has a significant impact on the final accuracy of the results. This paper presents a probabilistic methodology for calculating the PV hosting capacity in low voltage (LV) networks. The main contribution of this paper is the improved modeling of PV generation using actual building roof data when calculating the PV hosting capacity, as every building is treated according to its actual solar potential. Monte Carlo simulations with incorporated stochastic consumption and PV generation models are utilized for load flow calculations of the actual LV network. The simulation results presented in this paper prove that the proposed methodology increases the accuracy of the final PV hosting capacity calculations.

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Widiputra, Victor, Junhyuk Kong, Yejin Yang, Jaesung Jung, and Robert Broadwater. "Maximizing Distributed Energy Resource Hosting Capacity of Power System in South Korea Using Integrated Feeder, Distribution, and Transmission System." Energies 13, no. 13 (July 1, 2020): 3367. http://dx.doi.org/10.3390/en13133367.

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Intermittent power generated from renewable distributed energy resource (DER) can create voltage stability problems in the system during peak power production in the low demand period. Thus, the existing standard for operation and management of the distribution system limits the penetration level of the DER and the amount of load in a power system. In this standard, the hosting capacity of the DER is limited to each feeder at a level where the voltage problem does not occur. South Korea applied this standard, thereby making it hard to achieve its DER target. However, by analyzing the voltage stability of an integrated system, the hosting capacity of DER can be increased. Therefore, in this study, the maximum hosting capacity of DER is determined by analyzing an integrated transmission and distribution system. Moreover, the fast voltage stability index (FVSI) is used to verify the determined hosting capacity of DER. For this, the existing interconnection standard of DER at a feeder, distribution system, and transmission system level is investigated. Subsequently, a Monte Carlo simulation is performed to determine the maximum penetration of the DER at a feeder level, while varying the load according to the standard test system in South Korea. The actual load generation profile is used to simulate system conditions in order to determine the maximum DER hosting capacity.

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Budiantari, N. W., W. G. Ariastina, and I. W. Sukerayasa I.W.Sukerayasa. "ANALISIS HOSTING CAPACITY PADA JARINGAN TEGANGAN MENENGAH UNTUK SUPLAI DAYA LISTRIK DAERAH PEDESAAN." Jurnal SPEKTRUM 9, no. 2 (June 30, 2022): 39. http://dx.doi.org/10.24843/spektrum.2022.v09.i02.p5.

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As technology advances, the use of electrical energy increases for this reason, energy conversion is needed, one of which is the installation of photovoltaic. Analysis hosting capacity on the distribution network serves to determine the flow of power when photovoltaic is installed and can analyze voltage, conductor loading, power loss, and good transformer loading when connected to the network.The analysis of hosting capacity on rooftop PV mini-grid spread over the distribution network is very useful for future planning if there is a massive energy transition that is implemented on rooftop PV mini-grid. The hosting capacity analysis on the distribution network was carried out in 2 scenarios, which were Scenario A for the Bangli feeder without being connected to the PLTS 1 MWp and Scenario B for the parameter B for the Bangli feeder being connected with the PLTS 1 MWp. The analyzed parameters included voltage, conductor loading, transformer loading and power losses in network. The results of the analysis showed that the distribution network hosting capacity is 40%, for both Scenario A and Scenario B.

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Bartecka, Magdalena, Grazia Barchi, and Józef Paska. "Time-Series PV Hosting Capacity Assessment with Storage Deployment." Energies 13, no. 10 (May 15, 2020): 2524. http://dx.doi.org/10.3390/en13102524.

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Europe aims to diversify energy sources and reduce greenhouse gas emissions. On this field, large PV power growth is observed that may cause problems in existing networks. This paper examines the impact of distributed PV systems on voltage quality in a low voltage feeder in terms of the European standard EN 50160. As the standard defines allowable percentage of violation during one week period, time-series analyses are done to assess PV hosting capacity. The simulations are conducted with 10-minute step and comprise variable load profiles based on Gaussian Mixture Model and PV profiles based on a distribution with experimentally obtained parameters. In addition, the outcomes are compared with “snapshot” simulations. Next, it is examined how energy storage utilization affects the hosting capacity. Several deployments of energy storages are presented with different number and capacity. In particular, a greedy algorithm is proposed to determine the sub-optimal energy storage deployment based on the voltage deviation minimization. The simulations show that time-series analyses in comparison with snapshot analyses give completely different results and change the level of PV hosting capacity. Moreover, incorrect energy storage capacity selection and location may cause even deterioration of power quality in electrical systems with high RES penetration.

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Junior de Lima, Ezequiel, and Luiz Carlos Gomes de Freitas. "PROPOSAL OF A HYBRID METHODOLOGY FOR HOSTING CAPACITY ANALYSIS." Eletrônica de Potência 26, no. 1 (March 31, 2021): 64–73. http://dx.doi.org/10.18618/rep.2021.1.0057.

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Fatima, Samar, Verner Püvi, and Matti Lehtonen. "Review on the PV Hosting Capacity in Distribution Networks." Energies 13, no. 18 (September 11, 2020): 4756. http://dx.doi.org/10.3390/en13184756.

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The increasing penetration of Photovoltaic (PV) generation results in challenges regarding network operation, management and planning. Correspondingly, Distribution Network Operators (DNOs) are in the need of totally new understanding. The establishment of comprehensive standards for maximum PV integration into the network, without adversely impacting the normal operating conditions, is also needed. This review article provides an extensive review of the Hosting Capacity (HC) definitions based on different references and estimated HC with actual figures in different geographical areas and network conditions. Moreover, a comprehensive review of limiting factors and improvement methods for HC is presented along with voltage rise limits of different countries under PV integration. Peak load is the major reference used for HC definition and the prime limiting constraint for PV HC is the voltage violations. However, the varying definitions in different references lead to the conclusion that, neither the reference values nor the limiting factors are unique values and HC can alter depending on the reference, network conditions, topology, location, and PV deployment scenario.

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Sahu, Sourav Kumar, and Debomita Ghosh. "Operational hosting capacity‐based sustainable energy management and enhancement." International Journal of Energy Research 46, no. 3 (September 27, 2021): 2418–37. http://dx.doi.org/10.1002/er.7317.

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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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Varela, Jesus, Nikos Hatziargyriou, Lisandro J. Puglisi, Marco Rossi, Andreas Abart, and Benoit Bletterie. "The IGREENGrid Project: Increasing Hosting Capacity in Distribution Grids." IEEE Power and Energy Magazine 15, no. 3 (May 2017): 30–40. http://dx.doi.org/10.1109/mpe.2017.2662338.

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Abad, Mohammad Seydali Seyf, Jin Ma, Diwei Zhang, Ahmad Shabir Ahmadyar, and Hesamoddin Marzooghi. "Probabilistic Assessment of Hosting Capacity in Radial Distribution Systems." IEEE Transactions on Sustainable Energy 9, no. 4 (October 2018): 1935–47. http://dx.doi.org/10.1109/tste.2018.2819201.

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Arif, Shaila, Ata E. Rabbi, Shams Uddin Ahmed, Molla Shahadat Hossain Lipu, Taskin Jamal, Tareq Aziz, Mahidur R. Sarker, Amna Riaz, Talal Alharbi, and Muhammad Majid Hussain. "Enhancement of Solar PV Hosting Capacity in a Remote Industrial Microgrid: A Methodical Techno-Economic Approach." Sustainability 14, no. 14 (July 21, 2022): 8921. http://dx.doi.org/10.3390/su14148921.

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To meet the zero-carbon electricity generation target as part of the sustainable development goals (SDG7), remote industrial microgrids worldwide are considering the uptake of more and more renewable energy resources, especially solar PV systems. Estimating the grid PV hosting capacity plays an essential role in designing and planning such microgrids. PV hosting capacity assessment determines the maximum PV capacity suitable for the grid and the appropriate electrical location for PV placement. This research reveals that conventional static criteria to assess the PV hosting capacity fail to ensure the grid’s operational robustness. It hence demands a reduction in the theoretical hosting capacity estimation to ensure grid compatible post-fault voltage and frequency recovery. Energy storage technologies, particularly fast-responsive batteries, can potentially prevent such undesirable scenarios; nevertheless, careful integration is required to ensure an affordable cost of energy. This study proposes a novel methodical techno-economic approach for an off-grid remote industrial microgrid to enhance the PV hosting capacity by integrating battery energy storage considering grid disturbance and recovery scenarios. The method has been validated in an industrial microgrid with a 2.6 MW peak demand in a ready-made garment (RMG) factory having a distinctive demand pattern and unique constraints in remote Bangladesh. According to the analysis, integrating 2.5 MW of PV capacity and a 1.2 MVA battery bank to offset existing diesel and grid consumption would result in an energy cost of BDT 14.60 per kWh (USD 0.1719 per kWh). For high PV penetration scenarios, the application of this method offers higher system robustness, and the financial analysis indicates that the industries would not only benefit from positive environmental impact but also make an economic profit.

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Kim, Byungki, Jae-Bum Park, and Dae-Jin Kim. "A Study on the Power Line Operation Strategy by the Energy Storage System to Ensure Hosting Capacity of Distribution Feeder with Electrical Vehicle Charging Infrastructure." Energies 14, no. 21 (October 24, 2021): 6976. http://dx.doi.org/10.3390/en14216976.

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The introduction of a complex electrical vehicle charging (EVC) infrastructure consisting of an electrical vehicle (EV) charger and renewable energy source (RES) in the distribution system has been required as an important countermeasure for global environmental issues. However, the problems for hosting capacity and power stability of the distribution feeder can be caused by the penetration of lager scaled RES and EVC infrastructure. Further, it is required for the efficient operation method to prevent congestion and to ensure hosting capacity for the distribution feeder due to the increase of variable RES and EVC infrastructure in the distribution systems. In order to solve these problems, it is necessary to develop a technology which is capable of stably introducing an EVC infrastructure without reinforcing the existing distribution system. Therefore, to maintain the existing hosting capacity of distribution feeder and allowable limits, this paper presents a virtual power line (VPL) operation method using Energy Storage System (ESS) based on the power and voltage stabilization control to ensure hosting capacity of the EVS infrastructure. The proposed operation method is determined by optimal power compensation rate (PCR) and voltage compensation rate (VCR). Specifically, ESS for VPL is controlled according to the charging and discharging mode is operated according to the comparison value of the PCR and VCR. From the test results, it is verified that hosting capacity of the distribution system can be maintained using the proposed control method of ESS for VPL operation.

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Čađenović, Rade, and Damir Jakus. "Maximization of Distribution Network Hosting Capacity through Optimal Grid Reconfiguration and Distributed Generation Capacity Allocation/Control." Energies 13, no. 20 (October 13, 2020): 5315. http://dx.doi.org/10.3390/en13205315.

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High penetration of small-scale distributed energy sources into the distribution network increase negative impacts related to power quality causing adverse conditions. This paper presents a mathematical model that maximizes distribution network hosting capacity through optimal distributed generation capacity allocation and control and grid reconfiguration. In addition to this, the model includes on-load tap changer control for stabilization of grid voltage conditions primarily in grid operating conditions related to voltage rise problems, which can limit grid hosting capacity. Moreover, the objective function allows the possibility of energy transfer between distribution and transmission grids. The proposed model considers alternative grid connection points for distributed generation and determines optimal connection points as well as install capacity while considering network operating limits. The model is cast as a multiperiod second-order cone linear program and involves aspects of active power management. The model is tested on a modified IEEE 33 bus test network.

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Wang, Chunyi, Fengzhang Luo, Zheng Jiao, Xiaolei Zhang, Zhipeng Lu, Yanshuo Wang, Ren Zhao, and Yang Yang. "An Enhanced Second-Order Cone Programming-Based Evaluation Method on Maximum Hosting Capacity of Solar Energy in Distribution Systems with Integrated Energy." Energies 15, no. 23 (November 29, 2022): 9025. http://dx.doi.org/10.3390/en15239025.

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In order to adjust to the change of the large-scale deployment of photovoltaic (PV) power generation and fully exploit the potentialities of an integrated energy distribution system (IEDS) in solar energy accommodation, an evaluation method on maximum hosting capacity of solar energy in IEDS based on convex relaxation optimization algorithm is proposed in this paper. Firstly, an evaluation model of maximum hosting capacity of solar energy for IEDS considering the electrical-thermal comprehensive utilization of solar energy is proposed, in which the maximization of PV capacity and solar collector (SC) capacity are fully considered. Secondly, IEDS’s potential in electricity, heat, and gas energy coordinated optimization is fully exploited to enhance the hosting capacity of solar energy in which the electric distribution network, heating network, and natural gas network constraints are fully modeled. Then, an enhanced second-order cone programming (SOCP)-based method is employed to solve the proposed maximum hosting capacity model. Through SOCP relaxation and linearization, the original nonconvex nonlinear programming model is converted into the mixed-integer second-order cone programming model. Meanwhile, to ensure the exactness of SOCP relaxation and improve the computation efficiency, increasingly tight linear cuts of distribution system and natural gas system are added to the SOCP relaxation. Finally, an example is given to verify the effectiveness of the proposed method. The analysis results show that the maximum hosting capacity of solar energy can be improved significantly by realizing the coordination of an integrated multi-energy system and the optimal utilization of electricity, heat, and gas energy. By applying SOCP relaxation, linearization, and adding increasingly tight linear cuts of distribution system and natural gas system to the SOCP relaxation, the proposed model can be solved accurately and efficiently.

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Castelo de Oliveira, Tiago Elias, Math Bollen, Paulo Fernando Ribeiro, Pedro M. S. de Carvalho, Antônio C. Zambroni, and Benedito D. Bonatto. "The Concept of Dynamic Hosting Capacity for Distributed Energy Resources: Analytics and Practical Considerations." Energies 12, no. 13 (July 4, 2019): 2576. http://dx.doi.org/10.3390/en12132576.

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The hosting capacity approach is presented as a planning, improving, and communication tool for electrical distribution systems operating under specific uncertainties, such as power quality issues, power stabilities, and reliability, among others. In other words, it is an important technique, when renewable sources are present, to answer the amount of power that is possible to supply to the system without trespassing power performance limits. However, the power flow in a distribution system, for instance, can change throughout time due to the penetration of distributed generation, as well as load consumption. Based on the dynamic nature existing in distribution grids nowadays, it is important to highlight that the hosting capacity should not be calculated in a specifically chosen time only, but must be analyzed throughout a period of time. Thus, this paper introduces an extended concept of hosting capacity in relation to an integrated impact of harmonic voltage distortion and voltage rise as a function of time for daily, weekly, monthly, or even yearly periods. This extended concept is named as Dynamic Hosting Capacity (DHC(t)). General aspects of DHC(t) are demonstrated via measured data on a photovoltaic system (PV) connected at a low-voltage (LV) side of a university building.

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Leite, Germano L. D., Marcelo Picanço, José C. Zanuncio, Márcio D. Moreira, and Gulab N. Jham. "Hosting Capacity of Horticultural Plants for Insect Pests in Brazil." Chilean journal of agricultural research 71, no. 3 (September 2011): 383–99. http://dx.doi.org/10.4067/s0718-58392011000300006.

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Koirala, Arpan, Md Umar Hashmi, Reinhilde D’hulst, and Dirk Van Hertem. "Decoupled probabilistic feeder hosting capacity calculations using general polynomial chaos." Electric Power Systems Research 211 (October 2022): 108535. http://dx.doi.org/10.1016/j.epsr.2022.108535.

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Yuan, Jingyi, Yang Weng, and Chin-Woo Tan. "Determining maximum hosting capacity for PV systems in distribution grids." International Journal of Electrical Power & Energy Systems 135 (February 2022): 107342. http://dx.doi.org/10.1016/j.ijepes.2021.107342.

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Sam, M. A., D. T. O. Oyedokun, and K. O. Akpeji. "Design and application of a distributed generation hosting capacity algorithm." Journal of Energy in Southern Africa 32, no. 3 (September 19, 2021): 1–13. http://dx.doi.org/10.17159/2413-3051/2021/v32i3a10364.

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Distribution networks in Southern Africa and elsewhere are witnessing an unprecedented growth of consumer-side distributed generation (DG) courtesy of governmental interventions to maximise the utilisation of renewable energy resources through low-carbon grid-edge technologies. To deal with the increasing adoption of consumer-side DG, distribution network operators need to conduct technical studies to foster an understanding of the benefits and impacts of DG and the hosting capacity (HC) of existing distribution networks. This will aid the implementation of measures to manage grid exports. Using a distribution network in Namibia as a case study, this paper presents an algorithm for assessing the HC of consumer-side DG in existing distribution networks that are situated in areas anticipating high and uniform uptake of DG. The algorithm is a hybrid of deterministic and probabilistic methods. The uniqueness of the algorithm is the concept of calculating monthly HC. The algorithm was tested on a real existing residential distribution network and the results confirmed that HC varies monthly. However, the practical implementation of monthly HC requires upgrades to existing inverter technology, which currently contains a single export limit functionality. This opens the possibility to drive innovation in the inverter technology to develop a date-based multiple export limit functionality.

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Divshali, Poria Hasanpor, and Lennart Soder. "Improving PV Dynamic Hosting Capacity Using Adaptive Controller for STATCOMs." IEEE Transactions on Energy Conversion 34, no. 1 (March 2019): 415–25. http://dx.doi.org/10.1109/tec.2018.2873057.

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Lennerhag, Oscar, Susanne Ackeby, Math H. J. Bollen, Georgios Foskolos, and Tokhir Gafurov. "Using measurements to increase the accuracy of hosting capacity calculations." CIRED - Open Access Proceedings Journal 2017, no. 1 (October 1, 2017): 2041–44. http://dx.doi.org/10.1049/oap-cired.2017.0316.

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Ding, Fei, and Barry Mather. "On Distributed PV Hosting Capacity Estimation, Sensitivity Study, and Improvement." IEEE Transactions on Sustainable Energy 8, no. 3 (July 2017): 1010–20. http://dx.doi.org/10.1109/tste.2016.2640239.

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Takenobu, Yuji, Norihito Yasuda, Shin-ichi Minato, and Yasuhiro Hayashi. "Scalable enumeration approach for maximizing hosting capacity of distributed generation." International Journal of Electrical Power & Energy Systems 105 (February 2019): 867–76. http://dx.doi.org/10.1016/j.ijepes.2018.09.010.

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Ryu, Kyung-Sang, Dae-Jin Kim, Heesang Ko, Chang-Jin Boo, Jongrae Kim, Young-Gyu Jin, and Ho-Chan Kim. "MPC Based Energy Management System for Hosting Capacity of PVs and Customer Load with EV in Stand-Alone Microgrids." Energies 14, no. 13 (July 4, 2021): 4041. http://dx.doi.org/10.3390/en14134041.

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This paper presents the improvements of the hosting capacity of photovoltaics (PVs) and electric vehicles (EVs) in a stand-alone microgrid (MG) with an energy storage system (ESS) by consider-ing a model predictive control (MPC) based energy management system. The system is configured as an MG, including PVs, an ESS, a diesel generator (DG), and several loads with EVs. The DG is controlled to operate at rated power and the MPC algorithm is used in a stand-alone MG, which supplies the energy demanded for several loads with EVs. The hosting capacity of the load in-cluding the EV and PVs can be expanded through the ESS to the terminal node of the microgrid. In this case, the PVs and the load can be connected in excess of the capacity of the diesel genera-tor, and each bus in the feeder complies with the voltage range required by the grid. The effec-tiveness of the proposed algorithm to resolve the hosting capacity is demonstrated by numerical simulations.

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Schultis, Daniel-Leon. "Comparison of Local Volt/var Control Strategies for PV Hosting Capacity Enhancement of Low Voltage Feeders." Energies 12, no. 8 (April 24, 2019): 1560. http://dx.doi.org/10.3390/en12081560.

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The PV hosting capacity of low voltage feeders is restricted by voltage and current limits, and in many cases, voltage limit violations are the limiting factor for photovoltaic integration. To control the voltage, local Volt/var control strategies absorb or inject reactive power, provoking an additional current. This study analyzes the hosting capacity increase potential and the associated additional grid losses of local cosφ(P)- and Q(U)-control of photovoltaic inverters, and of local L(U)-control of inductive devices and its combination with Q-Autarkic prosumers. Therefore, four theoretical and one real low voltage test-feeders with distinct structures are considered: long overhead line, short overhead line, long cable, short cable and branched cable. While the theoretical test-feeders host homogeneously distributed PV-plants, the real one hosts heterogeneously distributed PV-plants. Each test-feeder is used to conduct load flow simulations in the presence of no-control and the different control strategies separately, while gradually increasing the PV-penetration. The minimum PV-penetration that provokes voltage or current limit violations is compared for the different control strategies and test-feeders. Simulation results of the theoretical test-feeders show that the hosting capacity increase potential of all local Volt/var control strategies is higher for the overhead line feeders than for the cable ones. Local L(U)-control, especially its combination with Q-Autarkic prosumers, increases the hosting capacity of all low voltage test-feeders significantly. The PV-inverter-based local Volt/var control strategies, i.e., Q(U)- and cosφ(P)-control, enable lower hosting capacity increases; in particular, cosφ(P)-control causes high additional currents, allowing the feeder to host only a relatively small PV-module rating per prosumer. Q(U)- and cosφ(P)-control are not sufficient to increase the hosting capacity of the long cable feeder significantly; they provoke high additional grid losses for the overhead line test-feeders. Meanwhile, L(U)-control, especially its combination with Q-Autarkic prosumers, increases the hosting capacity of the long cable feeder significantly, causing high additional grid losses during peak production of PV-plants. Regarding the real test-feeder with heterogeneously distributed PV-plants, on the one hand, the same trend concerning the HC increase prevails for the real branched cable test-feeder as for the theoretical short cable one. On the other hand, higher losses occur for the branched feeder in the case of L(U)-control and its combination with Q-Autarkic prosumers, due to the lower voltage set-points that have to be used for the inductive devices. All in all, the use of local L(U)-control, whether combined with Q-Autarkic prosumers or not, enables the effective and complete utilization of the existing radial low voltage feeders.

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Hamilton, James, Michael Negnevitsky, Xiaolin Wang, and Evgenii Semshchikov. "The Role of Low-Load Diesel in Improved Renewable Hosting Capacity within Isolated Power Systems." Energies 13, no. 16 (August 5, 2020): 4053. http://dx.doi.org/10.3390/en13164053.

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Isolated communities are progressively integrating renewable generation to reduce the societal, economic and ecological cost of diesel generation. Unfortunately, as renewable penetration and load variability increase, systems require greater diesel generation reserves, constraining renewable utilisation. Improved diesel generator flexibility can reduce the requirement for diesel reserves, allowing increased renewable hosting. Regrettably, it is uncommon for utilities to modify diesel generator control during the integration of renewable source generation. Identifying diesel generator flexibility and co-ordination as an essential component to optimising system hosting capacity, this paper investigates improved diesel generator flexibility and coordination via low-load diesel application. Case study comparisons for both high- and low-penetration hybrid diesel power systems are presented in King Island, Australia, and Moloka`i, Hawai`i, respectively. For King Island, the approach details a 50% reduction in storage requirement, while for Moloka`i the application supports a 27% increase in renewable hosting capacity.

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Laaksonen, Hannu, Chethan Parthasarathy, Hossein Hafezi, Miadreza Shafie-khah, Hosna Khajeh, and Nikos Hatziargyriou. "Solutions to Increase PV Hosting Capacity and Provision of Services from Flexible Energy Resources." Applied Sciences 10, no. 15 (July 27, 2020): 5146. http://dx.doi.org/10.3390/app10155146.

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Future smart grids will be more dynamic with many variabilities related to generation, inertia, and topology changes. Therefore, more flexibility in form of several active and reactive power related technical services from different distributed energy resources (DER) will be needed for local (distribution network) and whole system (transmission network) needs. However, traditional distribution network operation and control principles are limiting the Photovoltaic (PV) hosting capacity of LV networks and the DER capability to provide system-wide technical services in certain situations. New active and adaptive control principles are needed in order to overcome these limitations. This paper studies and proposes solutions for adaptive settings and management schemes to increase PV hosting capacity and improve provision of frequency support related services by flexible energy resources. The studies show that unwanted interactions between different DER units and their control functions can be avoided with the proposed adaptive control methods. Simultaneously, also better distribution network PV hosting capacity and flexibility services provision from DER units even during very low load situations can be achieved.

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Sun, Wei, Sam Harrison, and Gareth P. Harrison. "Value of Local Offshore Renewable Resource Diversity for Network Hosting Capacity." Energies 13, no. 22 (November 12, 2020): 5913. http://dx.doi.org/10.3390/en13225913.

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It is imperative to increase the connectable capacity (i.e., hosting capacity) of distributed generation in order to decarbonise electricity distribution networks. Hybrid generation that exploits complementarity in resource characteristics among different renewable types potentially provides value for minimising technical constraints and increasing the effective use of the network. Tidal, wave and wind energy are prominent offshore renewable energy sources. It is of importance to explore their potential complementarity for increasing network integration. In this work, the novel introduction of these distinct offshore renewable resources into hosting capacity evaluation enables the quantification of the benefits of various resource combinations. A scenario reduction technique is adapted to effectively consider variation of these renewables in an AC optimal power flow-based nonlinear optimisation model. Moreover, the beneficial impact of active network management (ANM) on enhancing the renewable complementarity is also investigated. The combination of complementary hybrid generation and ANM, specifically where the maxima of the generation profiles rarely co-occur with each other and with the demand minimum, is found to make the best use of the network components.

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e Silva, Luiz Eduardo Sales, and João Paulo Abreu Vieira. "Combined PV-PEV Hosting Capacity Analysis in Low-Voltage Distribution Networks." Electric Power Systems Research 206 (May 2022): 107829. http://dx.doi.org/10.1016/j.epsr.2022.107829.

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Pellerej, Rémi, Théo Trouillon, Clémentine Benoit, Quentin Garnier, and Alain Versyp. "Impact of flexibility on low-voltage networks’ hosting capacity – Belgium experimentation." CIRED - Open Access Proceedings Journal 2020, no. 1 (January 1, 2020): 209–12. http://dx.doi.org/10.1049/oap-cired.2021.0308.

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Palacios-Garcia, Emilio, Antonio Moreno-Muñoz, Isabel Santiago, Isabel Moreno-Garcia, and María Milanés-Montero. "PV Hosting Capacity Analysis and Enhancement Using High Resolution Stochastic Modeling." Energies 10, no. 10 (September 26, 2017): 1488. http://dx.doi.org/10.3390/en10101488.

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Ustun, Taha Selim, Jun Hashimoto, and Kenji Otani. "Impact of Smart Inverters on Feeder Hosting Capacity of Distribution Networks." IEEE Access 7 (2019): 163526–36. http://dx.doi.org/10.1109/access.2019.2952569.

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Journal articles on the topic 'Hosting Capacity'

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