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Research on Load State Sensing and Early Warning Method of Distribution Network under High Penetration Distributed Generation Access

Author

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  • Cailian Gu

    (Shenyang Institute of Engineering, Shenyang 110136, China)

  • Yibo Wang

    (College of Information Science and Engineering, Northeastern University, Shenyang 314001, China)

  • Weisheng Wang

    (College of Information Science and Engineering, Northeastern University, Shenyang 314001, China)

  • Yang Gao

    (Shenyang Institute of Engineering, Shenyang 110136, China)

Abstract

Aiming at the problems of power flow fluctuation and voltage exceeding standard caused by high permeability distributed power supply access, this paper proposes a load state perception early warning method for distribution networks. Firstly, the random behavior characteristics and voltage early warning mechanisms of power supply and load in distribution networks are analyzed, the dynamic model of distribution networks based on complex network theory is established, and the risk index of voltage exceeding limits under the conditions of high permeability distributed power supply access is put forward. Secondly, the random power flow of distribution networks based on the Monte Carlo method is studied by sampling and analyzing the dynamic model of distribution networks. Then, the risk calculation and safety assessment of voltage exceeding limits are carried out on the currently extracted model, and the risk control strategy of distribution network operation is put forward. Finally, an improved IEEE30-node distribution network topology is proposed. Through simulation analysis, it is proven that the load situation awareness early warning method of distribution networks can effectively predict, improve the security of distribution networks, and provide timely early warning information for maintenance personnel.

Suggested Citation

  • Cailian Gu & Yibo Wang & Weisheng Wang & Yang Gao, 2023. "Research on Load State Sensing and Early Warning Method of Distribution Network under High Penetration Distributed Generation Access," Energies, MDPI, vol. 16(7), pages 1-15, March.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:7:p:3093-:d:1110055
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    References listed on IDEAS

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    1. Vasiliki Vita & Georgios Fotis & Christos Pavlatos & Valeri Mladenov, 2023. "A New Restoration Strategy in Microgrids after a Blackout with Priority in Critical Loads," Sustainability, MDPI, vol. 15(3), pages 1-21, January.
    2. Nenad Sijakovic & Aleksandar Terzic & Georgios Fotis & Ioannis Mentis & Magda Zafeiropoulou & Theodoros I. Maris & Emmanouil Zoulias & Charalambos Elias & Vladan Ristic & Vasiliki Vita, 2022. "Active System Management Approach for Flexibility Services to the Greek Transmission and Distribution System," Energies, MDPI, vol. 15(17), pages 1-31, August.
    3. Mimica, Marko & Dominković, Dominik F. & Kirinčić, Vedran & Krajačić, Goran, 2022. "Soft-linking of improved spatiotemporal capacity expansion model with a power flow analysis for increased integration of renewable energy sources into interconnected archipelago," Applied Energy, Elsevier, vol. 305(C).
    4. Mahmoud Saleh & Yusef Esa & Ahmed Mohamed, 2018. "Applications of Complex Network Analysis in Electric Power Systems," Energies, MDPI, vol. 11(6), pages 1-16, May.
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    Cited by:

    1. Kewei Wang & Yonghong Huang & Junjun Xu & Yanbo Liu, 2024. "A Flexible Envelope Method for the Operation Domain of Distribution Networks Based on “Degree of Squareness” Adjustable Superellipsoid," Energies, MDPI, vol. 17(16), pages 1-19, August.

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