Study of Current-Limiting Scheduling Strategy for 220 kV Substation Based on Improved Genetic Algorithm
220 kV substation operation mode is more complex,and substation current-limiting scheduling has multi-objective constraints,it is difficult to find the optimal current-limiting scheduling strategy by using the traditional genetic algorithm.The 220 kV substation current-limiting scheduling strategy based on improved genetic algorithm is proposed.The effects of four types of current-limiting scheduling measures on the conductivity matrix of 220 kV substations are analyzed.The effect model and the economic cost model of current-limiting scheduling strategy are established by combining the results of the analysis to build a multi-objective optimization strategy of current-limiting scheduling for 220 kV substations by combining the both.The improved genetic algorithm with chaotic mapping,non-dominated sorting and adaptive function is used to solve the multi-objective optimization strategy,and the optimal solution obtained is the optimal current-limiting scheduling strategy.Combined with the optimal strategy,the current-limiting scheduling of 220 kV substation is realized.The simulation test results show that the proposed strategy has better current-limiting scheduling effect and less power loss.This strategy has reference value for current-limiting scheduling of substations.
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