基于遗传算法的电网无功补偿动态优化系统

Dynamic optimization system of reactive power compensation based on genetic algorithm

电力能源需求的增加,对电网节点电压稳定性提出了更高的要求。若电网出现故障,其节点电压会产生波动,影响电网运行的可靠性。为提高电压稳定性,设计了基于遗传算法的电网无功补偿动态优化系统。分析电网节点暂态电压波动特征,结合节点电压对无功功率的灵敏度分析,计算节点电气距离,划分电网区域。构建电网无功补偿动态优化模型,引入遗传算法对其进行求解,获得最佳的电网无功补偿动态优化方案,实现电网无功补偿的动态优化。实验结果表明,应用设计系统节点暂态电压无功补偿效果较好,电压稳定提升能力优化目标函数最大值为9.77,经济成本优化目标函数最小值为36.25万元,充分证实设计系统应用性能更佳。

The increasing demand for power energy puts forward higher requirements for the voltage stability of grid nodes.If the power grid fails,its node voltage will fluctuate,affecting the reliability of power grid operation.In order to improve voltage stability,a dynamic optimization system of reactive power compensation based on genetic algorithm is designed.Analyze the characteristics of transient voltage fluctuation of grid nodes,combine the sensitivity analysis of node voltage to reactive power,calculate the electrical distance of nodes,and divide the grid area.The dynamic optimization model of reactive power compensation in power grid is constructed,and the genetic algorithm is introduced to solve it,so as to obtain the optimal dynamic optimization scheme of reactive power compensation in power grid and realize the dynamic optimization of reactive power compensation in power grid.The experimental results show that the node transient voltage and reactive power compensation effect of the designed system is good,the maximum value of the optimization objective function of the voltage stability improvement ability is 9.77,and the minimum value of the economic cost optimization objective function is 362500 yuan,which fully proves that the designed system has better application performance.