Study on Optimal Reactive Power Allocation Considering GIC-Q Fuzzy Correlation during Geomagnetic Storm
Wang Zezhong1, Si Yuan1, Liu Lianguang2
1. Beijing Key Laboratory of High Voltage and EMC North China Electric Power University Beijing 102206 China; 2. State Key Laboratory for Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing 102206 China
Abstract：The reactive power loss (GIC-Q) of transformer during magnetic storm is characterized by group occurrence and uncertainty of the whole network, which damages the reactive power balance of power grid, causes voltage fluctuation and affects the stable operation of the system. The correlation of GIC-Q of transformer will lead to the increase and decrease of reactive load in the system. Ignoring this factor will make the configuration scheme unable to achieve the optimal disaster prevention effect. In this study, the digital characteristics of GIC-Q transformer during a solar active period are adopted. The probability distribution model of GIC-Q is established by polynomial normal transformation method. The optimal reactive power allocation problem is solved by probabilistic power flow embedding non dominated sorting inheritance algorithm considering fuzzy correlation of GIC-Q in different geographical locations. By testing GIC Benchmark system, the influence of GIC-Q fuzzy correlation on system operation state fluctuation is analyzed. It is proved that GIC-Q is a factor that can not be ignored when using reactive power configuration to prevent and control geomagnetic storm disaster.
王泽忠, 司远, 刘连光. 考虑磁暴时GIC-Q模糊相关性的电网无功优化配置研究[J]. 电工技术学报, 2022, 37(zk1): 106-115.
Wang Zezhong, Si Yuan, Liu Lianguang. Study on Optimal Reactive Power Allocation Considering GIC-Q Fuzzy Correlation during Geomagnetic Storm. Transactions of China Electrotechnical Society, 2022, 37(zk1): 106-115.
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2022, Vol. 37 
