基于改进遗传算法的低压配电网无功补偿自动优化方法

Automatic Optimization Method of Reactive Power Compensation of Low-Voltage Distribution Network Based on Improved Genetic Algorithm

由于未设定低压配电网多阶约束条件,当前方法无功补偿优化效果较差。基于此,提出基于改进遗传算法的低压配电网无功补偿自动优化方法。首先选择无功补偿点,然后基于改进遗传算法设定低压配电网多阶约束条件,最后使用设定的约束条件和改进遗传算法构建无功补偿优化模型,实现无功补偿功能。结果表明,该方法能够降低低压传输环境下的电网传输流失效率,优化效果较好。

Due to the lack of multi-stage constraints for low-voltage distribution networks,the current method has poor optimization results for reactive power compensation.Based on this,this paper proposes an automatic optimization method for reactive power compensation in low-voltage distribution networks based on an improved genetic algorithm.Firstly,select the reactive power compensation point,then set the multi-level constraint conditions for the low-voltage distribution network based on the improved genetic algorithm.Finally,use the set constraint conditions and the improved genetic algorithm to construct an optimization model for reactive power compensation,achieving the function of reactive power compensation.The results show that this method can reduce the efficiency of power grid transmission loss in low-voltage transmission environments,and the optimization effect is good.