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Optimization method for control parameters of new energy low voltage ride through considering the reactive power and voltage interaction
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Wen Hua1, Wei Dong1, Ying Yang1, Yi Lu1, Chenyi Zheng2, Jianxiong Hu2
Renewable Energy Resources | 2025, 43(11) : 1527 - 1536
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Renewable Energy Resources | 2025, 43(11): 1527-1536
Optimization method for control parameters of new energy low voltage ride through considering the reactive power and voltage interaction
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Wen Hua1, Wei Dong1, Ying Yang1, Yi Lu1, Chenyi Zheng2, Jianxiong Hu2
Affiliations
  • 1.Electric Power Research Institute, State Grid Zhejiang Electric Power Co., Ltd., Hangzhou 310014, China
  • 2.School of Electrical Engineering, Southeast University, Nanjing 210096, China
Published: 2025-11-20
Outline
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The reactive power output of new energy and the recovery rate of grid voltage will affect the voltage characteristics of other nodes in the system. Traditional parameter determination methods for a single station are difficult to ensure the minimum overall voltage deviation of important nodes in the system. To solve the issue, an optimization method for new energy low voltage ride through (LVRT) control parameters considering the reactive power and voltage interaction is proposed in this paper. Firstly, the impact of LVRT control parameters and reactive power interaction on the overall voltage support capability is analyzed. Then, an index for the coupling degree of reactive power and voltage between nodes is proposed, based on this index as well as the degree of voltage drop at the new energy grid connection point, the value range of the reactive power current proportion coefficients of LVRT in different stations are determined. Finally, within the value ranges, with the goal of minimizing the overall voltage deviation of important nodes in the system, a deep reinforcement learning algorithm is used to coordinate and optimize the above parameters. The results of case studies show that the proposed method can improve the overall voltage recovery characteristics of the system compared to traditional methods, and the pre determination of the control parameter value range can enhance the convergence speed of the algorithm reward function.

new energy  /  voltage stability  /  low voltage ride through  /  reactive power interaction  /  parameter coordination optimization
华文, 董炜, 杨滢, 陆翌, 郑晨一, 胡健雄. 考虑无功电压交互影响的新能源低电压穿越控制参数优化方法. 可再生能源, 2025 , 43 (11) : 1527 -1536 .
Wen Hua, Wei Dong, Ying Yang, Yi Lu, Chenyi Zheng, Jianxiong Hu. Optimization method for control parameters of new energy low voltage ride through considering the reactive power and voltage interaction[J]. Renewable Energy Resources, 2025 , 43 (11) : 1527 -1536 .
Year 2025 volume 43 Issue 11
204
41
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Article Info
  • Receive Date:2024-12-05
  • Online Date:2026-09-23
  • Published:2025-11-20
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  • Received:2024-12-05
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Affiliations
    1.Electric Power Research Institute, State Grid Zhejiang Electric Power Co., Ltd., Hangzhou 310014, China
    2.School of Electrical Engineering, Southeast University, Nanjing 210096, China
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小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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