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Multi-Inverter Synchronization and Dynamic Power Allocation via Distributed Communication for PV Station Rapid Power Control to Enhance Power System Stability

Author

Listed:
  • Mingkang Wu

    (State Key Laboratory of HVDC (Electric Power Research Institute, China Southern Power Grid), Guangzhou 510663, China)

  • Min Cheng

    (Yunnan Electric Power Dispatching and Control Center, Yunnan Power Grid Co., Ltd., Kunming 650214, China)

  • Jiawei Yu

    (State Key Laboratory of HVDC (Electric Power Research Institute, China Southern Power Grid), Guangzhou 510663, China)

  • Yayao Zhang

    (School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Yuanfu Zhu

    (Yunnan Electric Power Dispatching and Control Center, Yunnan Power Grid Co., Ltd., Kunming 650214, China)

  • Yihua Zhu

    (State Key Laboratory of HVDC (Electric Power Research Institute, China Southern Power Grid), Guangzhou 510663, China)

Abstract

There is increasing penetration of photovoltaic (PV) systems into modern power grids; however, existing centralized communication architectures for PV stations often suffer from high latency and poor scalability, and the synchronization and coordinated control of multi-inverter clusters at millisecond timescales remain unresolved challenges. Hence, this paper proposes a distributed communication-based framework integrating multi-inverter synchronization and dynamic power allocation for rapid power regulation in PV stations. The architecture employs decentralized control logic to achieve the real-time synchronization of inverter clusters, eliminating reliance on centralized controllers. A dynamic power allocation algorithm, embedded with adaptive droop characteristics, optimizes active power distribution across inverters while minimizing transient overshoot. Experimental validation confirms the efficacy and operational advantages of the proposed communication architecture and power allocation strategy.

Suggested Citation

  • Mingkang Wu & Min Cheng & Jiawei Yu & Yayao Zhang & Yuanfu Zhu & Yihua Zhu, 2025. "Multi-Inverter Synchronization and Dynamic Power Allocation via Distributed Communication for PV Station Rapid Power Control to Enhance Power System Stability," Energies, MDPI, vol. 18(12), pages 1-17, June.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:12:p:3065-:d:1675623
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    References listed on IDEAS

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    1. Jianguo Ding & Attia Qammar & Zhimin Zhang & Ahmad Karim & Huansheng Ning, 2022. "Cyber Threats to Smart Grids: Review, Taxonomy, Potential Solutions, and Future Directions," Energies, MDPI, vol. 15(18), pages 1-37, September.
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