基于多目标差分进化算法的含分布式电源配电网无功优化方法

Reactive Power Optimization Method of Distribution Network with Distributed Generation Based on Multi-Objective Differential Evolution

由于配电网无功优化属于多目标问题,各目标之间相互制约,传统方法易陷入局部最优,优化效果较差,为此,本文提出基于多目标差分进化算法的含分布式电源配电网无功优化方法。以有功功率网损和节点电压偏差最小为目标,构建含分布式电源配电网多目标无功优化模型,基于差分进化算法求解模型,实现配电网的无功优化。采用设计方法优化IEEE-32节点系统,优化后有功功率网损较优化前减小29.13%,说明差分进化算法在多目标问题上寻优能力较强,验证了设计无功优化方法的有效性。

Because the reactive power optimization of distribution network is a multi-objective problem,and each objective restricts each other,the traditional methods are prone to fall into local optimization,and the optimization effect is poor.Therefore,this paper proposes a reactive power optimization method for distribution network with distributed generation based on multi-objective differential evolution.With the objective of minimizing the active power loss and node voltage deviation,a multi-objective reactive power optimization model of distribution network with distributed generation is constructed.Based on the differential evolution,the model is solved to realize the reactive power optimization of distribution network.The design method is used to optimize the IEEE-32 bus system,and the active power loss after optimization is reduced by 29.13%compared with that before optimization,which shows that the differential evolution has strong optimization ability on multiobjective problems,and verifies that the design reactive power optimization method is effective.