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A Multi-Agent Approach for Self-Healing and RES-Penetration in Smart Distribution Networks

Author

Listed:
  • Ahmed Maged Abdelhamid

    (Engineering Consultants Group S. A. (ECG), Alexandria 21532, Egypt)

  • Nahla E. Zakzouk

    (Electrical and Control Engineering Department, College of Engineering and Technology, Arab Academy for Science and Technology (AAST), Abu-Kir Campus, Alexandria 1029, Egypt)

  • Samah El Safty

    (Electrical and Control Engineering Department, College of Engineering and Technology, Arab Academy for Science and Technology (AAST), Abu-Kir Campus, Alexandria 1029, Egypt)

Abstract

Smart grid technology has gained much consideration recently to make use of intelligent control in the automatic fault-detection and self-healing of electric networks. This ensures a reliable electricity supply and an efficient operation of the distribution system against disasters with minimum human interaction. In this paper, a fully decentralized multi-agent system (MAS) algorithm, for self-healing in smart distribution systems, is proposed. The novelty of the proposed algorithm, compared to related work, is its ability to combine the zone and feeder agents, specified for system self-healing, with micro-grid agents. This enables the system to successfully achieve functions of fault locating and isolation along with service-restoration using expert rules while considering both operational constraint and load priorities. Meanwhile, managing the power flow and controlling the distributed generator (DG) contribution, in the considered network, is a bonus merit for the proposed algorithm. Hence, system self-healing as well as strengthening energy security and resiliency are guaranteed. The proposed algorithm is tested on a 22 kV radial distribution system through several case-studies with/without a DG wind-energy source. The employed agents are implemented in the Java Agent Developing Framework (JADE) environment to communicate and make decisions. Power system simulation and calculations are carried out in MATLAB to validate the agents’ decisions.

Suggested Citation

  • Ahmed Maged Abdelhamid & Nahla E. Zakzouk & Samah El Safty, 2022. "A Multi-Agent Approach for Self-Healing and RES-Penetration in Smart Distribution Networks," Mathematics, MDPI, vol. 10(13), pages 1-26, June.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:13:p:2275-:d:851278
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    References listed on IDEAS

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    1. Martin-Martínez, F. & Sánchez-Miralles, A. & Rivier, M., 2016. "A literature review of Microgrids: A functional layer based classification," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 1133-1153.
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    Cited by:

    1. Zhang, Pan & Mansouri, Seyed Amir & Rezaee Jordehi, Ahmad & Tostado-Véliz, Marcos & Alharthi, Yahya Z. & Safaraliev, Murodbek, 2024. "An ADMM-enabled robust optimization framework for self-healing scheduling of smart grids integrated with smart prosumers," Applied Energy, Elsevier, vol. 363(C).
    2. Qin, Xiangyu & Che, Ada & Wu, Bei, 2024. "Modeling coupling impacts of self-healing mechanisms and dynamic environments on systems subject to dependent failure processes," Reliability Engineering and System Safety, Elsevier, vol. 250(C).

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