摘要
针对粒子群(PSO)算法在计及UPFC无功优化中容易陷入局部最优解,提出了将差分进化粒子群(DEPSO)算法应用于计及UPFC设备的无功优化的方法。描述了添加UPFC到牛顿-拉夫逊潮流计算和将DEPSO算法应用于无功优化的方法。提出的算法在计及UPFC IEEE-30节点系统进行测试,实验表明,在计及UPFC的无功优化中,DEPSO算法较PSO算法更有效地降低了系统的有功网损,验证了文中模型和算法的有效性和可行性。
The particle swarm optimization （PSO） algorithm exhibits a fast performance when optimizing reactive power flow （ORPF） incorporating UPFC. However the PSO algorithm may fall into premature convergence due to the decrease of population diversity in later evolution. A DEPSO reactive power optimization method incorporating UPFC is proposed to solve the premature convergence problem. The proposed method has the advantage of fast strong searching ability and is applied on the IEEE - 30 including UPFC test system. The results demonstrate the applicabil- ity of the method.
出处
《电子科技》
2017年第7期65-68,共4页
Electronic Science and Technology
基金
上海市宝山区科委产学研资助项目(bkw2015130)
