基于改进类电磁机制算法的UPFC多目标优化配置

Multi-Objective Optimal Configuration of UPFC Based on Improved Electromagnetism-Like Mechanism Algorithm

统一潮流控制器(UPFC)能在不改变线路拓扑结构的条件下有效地改善电力系统潮流,从而提高输电能力与电压稳定性。针对系统可用输电能力、电压偏差和L指标等目标,建立了UPFC的多目标优化配置模型,采用结合差分进化算法(DE)的改进差分类电磁机制算法(DEEM)对所建模型进行求解,通过对算法中粒子的带电量、合力计算方式进行改进,同时添加自适应因子,进一步平衡算法的全局搜索与局部搜索能力。配置后的结果表明UPFC对增强系统输电能力、电压质量及电压稳定性的性能均有提高,且改进算法寻优效率的提升也得到了验证。

Unified power flow controller(UPFC)can effectively improve power flow without changing line topology,so as to improve transmission capacity and voltage stability.Therefore,aiming at the objectives of available transmission capacity,voltage deviation and L index of the system,this paper established a multi-objective optimal configuration model of UPFC.The improved differential evolution electromagnetic mechanism algorithm(DEEM)combined with the differential evolution algorithm(DE)was used to solve the model.By improving the calculation method of particle charge and resultant force in the algorithm,and adding adaptive factors,the global search and local search capabilities of the algorithm were further balanced.The results after configuration show that UPFC improves the performance of enhancing system transmission capacity,voltage quality and voltage stability,and the improvement of optimization efficiency of the improved algorithm has also been verified.