Reactive Power Configuration Method for Steady-State Overvoltage in Hydropower Distribution Network Based on Impedance Modulus Margin Index
DOI:
https://doi.org/10.52152/4170Keywords:
Power Grid Stability, Voltage Stability Control, Reactive Power Optimization, Impedance Modulus Margin, Reinforcement Learning AlgorithmAbstract
Existing reactive power configuration methods cannot fully consider the impact of dynamic changes in grid topology and load fluctuations when evaluating impedance characteristics and voltage margin, making it difficult to achieve precise regulation in steady-state overvoltage control. To address this issue, this paper firstly constructs a simulation model based on digital twins to simulate the operation status of the power grid in real-time and calculate the impedance modulus margin (IMM) index of each node to precisely evaluate the voltage stability. Then, the grid topology is modeled by graph neural network (GNN); the voltage stability information and reactive power demand between nodes are extracted; the key nodes are identified based on this information. Finally, the PPO (Proximal Policy Optimization) algorithm is utilized to optimize the configuration of reactive power compensation equipment and determine its optimal layout and operation strategy. The experimental outcomes demonstrate that the system voltage stability margin reaches 0.35 in the scenario of multi-equipment collaborative work, and the steady-state overvoltage amplitude is limited to 1.02 times the rated voltage. The research results demonstrate the importance of the IMM-based reactive power configuration method proposed in this paper to enhance the security and voltage stability of hydropower distribution networks.
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Copyright (c) 2025 Yunfeng Yang, Shutao Hao, Duan Zhang, Zhangyong Wei (Author)
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