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A Two-Stage Hybrid Stochastic–Robust Coordination of Combined Energy Management and Self-Healing in Smart Distribution Networks Incorporating Multiple Microgrids

Author

Listed:
  • Damoon Mohammad Zaheri

    (School of Engineering and Energy, Murdoch University, Perth 6150, Australia)

  • Shahrzad Nazerian Salmani

    (School of Engineering and Energy, Murdoch University, Perth 6150, Australia)

  • Farhad Shahnia

    (School of Engineering and Energy, Murdoch University, Perth 6150, Australia)

  • Hai Wang

    (School of Engineering and Energy, Murdoch University, Perth 6150, Australia)

  • Xiangjing Su

    (Offshore Wind Power Research Institute, Shanghai University of Electric Power, Shanghai 200090, China)

Abstract

This paper presents a two-stage hybrid stochastic–robust coordination of energy management and self-healing in smart distribution networks with multiple microgrids. A multi-agent systems approach is first used for coupling energy management and self-healing strategies of microgrids, based on expert system rules. The second stage problem, a framework similar to that of the first stage, is then established for the smart distribution networks. Then, hybrid stochastic–robust optimization is used to model the uncertainties of demand, energy price, power generation of renewable energy sources, demand of electric vehicles, and accessibility of zone agents. Further, the grey wolf algorithm is used to solve the formulated optimization problem and achieve an optimal and reliable solution. The proposal is validated on a 69-bus distribution network consisting of three microgrids. The results validate that the proposal minimizes microgrids’ utilization indices, such as energy costs, energy losses, and network voltage drops, while simultaneously managing a flexible distribution network. It is also verified that the proposed multi-agent system design provides a high-speed and optimized self-healing solution for the network.

Suggested Citation

  • Damoon Mohammad Zaheri & Shahrzad Nazerian Salmani & Farhad Shahnia & Hai Wang & Xiangjing Su, 2024. "A Two-Stage Hybrid Stochastic–Robust Coordination of Combined Energy Management and Self-Healing in Smart Distribution Networks Incorporating Multiple Microgrids," Energies, MDPI, vol. 17(17), pages 1-19, August.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:17:p:4281-:d:1465198
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    References listed on IDEAS

    as
    1. Md Asaduzzaman Shoeb & Farhad Shahnia & GM Shafiullah & Fushuan Wen, 2023. "A Technique to Optimally Prevent the Voltage and Frequency Violation in Renewable Energy Integrated Microgrids," Energies, MDPI, vol. 16(15), pages 1-27, August.
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