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Load Frequency Control of Multiarea Power Systems with Virtual Power Plants

Author

Listed:
  • Zeyi Wang

    (Changchun Power Supply Company of State Grid Jilin Electric Power Co., Ltd., Changchun 130021, China)

  • Yao Wang

    (Changchun Power Supply Company of State Grid Jilin Electric Power Co., Ltd., Changchun 130021, China)

  • Li Xie

    (School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China)

  • Dan Pang

    (Changchun Power Supply Company of State Grid Jilin Electric Power Co., Ltd., Changchun 130021, China)

  • Hao Shi

    (Changchun Power Supply Company of State Grid Jilin Electric Power Co., Ltd., Changchun 130021, China)

  • Hua Zheng

    (School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China)

Abstract

Virtual power plants (VPPs) integrate diverse energy resources using advanced communication technologies and intelligent control strategies. This integration enhances the utilization and efficiency of distributed generation. This paper explores the incorporation of VPPs into load frequency control (LFC) systems. It includes an analysis of VPP-aggregated resources’ frequency regulation characteristics and a VPP-inclusive LFC model. Additionally, a decentralized automatic generation control strategy is proposed to distribute power outputs effectively, enabling swift grid frequency adjustments. This study uses MATLAB simulations to demonstrate the benefits and efficacy of VPPs in LFC, underscoring their role in advancing grid management and stability.

Suggested Citation

  • Zeyi Wang & Yao Wang & Li Xie & Dan Pang & Hao Shi & Hua Zheng, 2024. "Load Frequency Control of Multiarea Power Systems with Virtual Power Plants," Energies, MDPI, vol. 17(15), pages 1-10, July.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:15:p:3687-:d:1443585
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    References listed on IDEAS

    as
    1. Pandžić, Hrvoje & Kuzle, Igor & Capuder, Tomislav, 2013. "Virtual power plant mid-term dispatch optimization," Applied Energy, Elsevier, vol. 101(C), pages 134-141.
    2. Rahmani-Dabbagh, Saeed & Sheikh-El-Eslami, Mohammad Kazem, 2016. "A profit sharing scheme for distributed energy resources integrated into a virtual power plant," Applied Energy, Elsevier, vol. 184(C), pages 313-328.
    3. Wei, Congying & Xu, Jian & Liao, Siyang & Sun, Yuanzhang & Jiang, Yibo & Ke, Deping & Zhang, Zhen & Wang, Jing, 2018. "A bi-level scheduling model for virtual power plants with aggregated thermostatically controlled loads and renewable energy," Applied Energy, Elsevier, vol. 224(C), pages 659-670.
    4. Pandžić, Hrvoje & Morales, Juan M. & Conejo, Antonio J. & Kuzle, Igor, 2013. "Offering model for a virtual power plant based on stochastic programming," Applied Energy, Elsevier, vol. 105(C), pages 282-292.
    5. Oshnoei, Arman & Kheradmandi, Morteza & Blaabjerg, Frede & Hatziargyriou, Nikos D. & Muyeen, S.M. & Anvari-Moghaddam, Amjad, 2022. "Coordinated control scheme for provision of frequency regulation service by virtual power plants," Applied Energy, Elsevier, vol. 325(C).
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    Cited by:

    1. Awadh Ba Wazir & Sultan Alghamdi & Abdulraheem Alobaidi & Abdullah Ali Alhussainy & Ahmad H. Milyani, 2024. "Efficient Frequency Management for Hybrid AC/DC Power Systems Based on an Optimized Fuzzy Cascaded PI−PD Controller," Energies, MDPI, vol. 17(24), pages 1-49, December.

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