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Reactive power optimization technology for wind farms considering the reactive power resources allocation cost
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Pan Hu, Kai Ding1, Kezheng Jiang1, Zhaoyi Zhang2, Qiupin Lai2, Chengxi Liu2
Renewable Energy Resources | 2024, 42(4) : 522 - 529
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Renewable Energy Resources | 2024, 42(4): 522-529
Reactive power optimization technology for wind farms considering the reactive power resources allocation cost
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Pan Hu, Kai Ding1, Kezheng Jiang1, Zhaoyi Zhang2, Qiupin Lai2, Chengxi Liu2
Affiliations
  • 1 State Grid Hubei Electric Power Research Institute Wuhan 430077 China
  • 2 School of Electrical Engineering and Automation Wuhan University Wuhan 430072 China
Published: 2024-04-20
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In this paper, a reactive power optimization method for wind farms considering the reactive power resources allocation cost is proposed to achieve the optimal reactive power control under different operating conditions. With the comprehensive cost composed of power loss and reactive power cost as the objective function, the reactive power optimization model is established based on chanceconstrained programming, considering the influence of wind power fluctuations on voltage magnitude, which is then solved by the improved interior point method. According to the actual operating requirements, the proposed method can schedule reactive power of Static Var Generator (SVG), Energy Storage (ES) and wind generators in sequence by setting reactive power cost coefficients, and optimize the power loss of wind farm. The voltage violation risk is also controlled by reserving the voltage safety margin in the voltage constraint. In the end, the advanced and feasibility of the proposed method is verified by a simulation at an actual wind farm in China.

reactive power optimization  /  power loss  /  wind power fluctuations  /  reactive power resources allocation  /  voltage violation
Pan Hu, Kai Ding, Kezheng Jiang, Zhaoyi Zhang, Qiupin Lai, Chengxi Liu. Reactive power optimization technology for wind farms considering the reactive power resources allocation cost[J]. Renewable Energy Resources, 2024 , 42 (4) : 522 -529 .
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Article Info
  • Receive Date：2023-02-17
  • Online Date：2025-07-22
  • Published：2024-04-20
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  • Received：2023-02-17
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Affiliations
    1 State Grid Hubei Electric Power Research Institute Wuhan 430077 China
    2 School of Electrical Engineering and Automation Wuhan University Wuhan 430072 China
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栓菌属 Trametes 5 2.39
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