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Reliability Assessment of Distribution Networks with Optimal Coordination of Distributed Generation, Energy Storage and Demand Management

Author

Listed:
  • Alberto Escalera

    (IMDEA Energy Institute, 28935-Mostoles, Madrid, Spain
    Department of Electrical Engineering, University Carlos III de Madrid, Avda. Universidad 30, 28911-Leganés, Madrid, Spain)

  • Edgardo D. Castronuovo

    (Department of Electrical Engineering, University Carlos III de Madrid, Avda. Universidad 30, 28911-Leganés, Madrid, Spain)

  • Milan Prodanović

    (IMDEA Energy Institute, 28935-Mostoles, Madrid, Spain)

  • Javier Roldán-Pérez

    (IMDEA Energy Institute, 28935-Mostoles, Madrid, Spain)

Abstract

Modern power distribution networks assume the connection of Distributed Generators (DGs) and energy storage systems as well as the application of advanced demand management techniques. After a network fault these technologies and techniques can contribute individually to the supply restoration of the interrupted areas and help improve the network reliability. However, the optimal coordination of control actions between these resources will lead to their most efficient use, maximizing the network reliability improvement. Until now, the effect of such networks with optimal coordination has not been considered in reliability studies. In this paper, DGs, energy storage and demand management techniques are jointly modelled and evaluated for reliability assessment. A novel methodology is proposed for the calculation of the reliability indices. It evaluates the optimal coordination of energy storage and demand management in order to reduce the energy-not-supplied during outages. The formulation proposed for the calculation of the reliability indices (including the modelling of optimal coordination) is described in detail. The methodology is applied to two distribution systems combining DGs, energy storage and demand management. Results demonstrate the capability of the proposed method to assess the reliability of such type of networks and emphasise the impact of the optimal coordination on reliability.

Suggested Citation

  • Alberto Escalera & Edgardo D. Castronuovo & Milan Prodanović & Javier Roldán-Pérez, 2019. "Reliability Assessment of Distribution Networks with Optimal Coordination of Distributed Generation, Energy Storage and Demand Management," Energies, MDPI, vol. 12(16), pages 1-17, August.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:16:p:3202-:d:259359
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    References listed on IDEAS

    as
    1. Escalera, Alberto & Hayes, Barry & Prodanović, Milan, 2018. "A survey of reliability assessment techniques for modern distribution networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 344-357.
    2. Yilun Shang, 2018. "Resilient Multiscale Coordination Control against Adversarial Nodes," Energies, MDPI, vol. 11(7), pages 1-17, July.
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    Cited by:

    1. Gustavo L. Aschidamini & Gederson A. da Cruz & Mariana Resener & Maicon J. S. Ramos & Luís A. Pereira & Bibiana P. Ferraz & Sérgio Haffner & Panos M. Pardalos, 2022. "Expansion Planning of Power Distribution Systems Considering Reliability: A Comprehensive Review," Energies, MDPI, vol. 15(6), pages 1-29, March.
    2. Fitsum Salehu Kebede & Jean-Christophe Olivier & Salvy Bourguet & Mohamed Machmoum, 2021. "Reliability Evaluation of Renewable Power Systems through Distribution Network Power Outage Modelling," Energies, MDPI, vol. 14(11), pages 1-25, May.
    3. Gustavo L. Aschidamini & Gederson A. da Cruz & Mariana Resener & Roberto C. Leborgne & Luís A. Pereira, 2022. "A Framework for Reliability Assessment in Expansion Planning of Power Distribution Systems," Energies, MDPI, vol. 15(14), pages 1-24, July.
    4. Zhang, Xizheng & Wang, Zeyu & Lu, Zhangyu, 2022. "Multi-objective load dispatch for microgrid with electric vehicles using modified gravitational search and particle swarm optimization algorithm," Applied Energy, Elsevier, vol. 306(PA).
    5. Hak-Ju Lee & Byeong-Chan Oh & Seok-Woong Kim & Sung-Yul Kim, 2020. "V2G Strategy for Improvement of Distribution Network Reliability Considering Time Space Network of EVs," Energies, MDPI, vol. 13(17), pages 1-19, August.
    6. Miroslaw Parol & Jacek Wasilewski & Tomasz Wojtowicz & Bartlomiej Arendarski & Przemyslaw Komarnicki, 2022. "Reliability Analysis of MV Electric Distribution Networks Including Distributed Generation and ICT Infrastructure," Energies, MDPI, vol. 15(14), pages 1-34, July.

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