电力系统最优潮流的求解一直是电力系统研究的重点.在分析最优潮流理论的基础上引入了量子粒子群算法计算发电成本,从而将其用于求解电力系统的最优潮流问题,并通过个体优劣比较准则处理约束条件.通过对IEEE30节点最优潮流的数值仿真表明,该算法在收敛精度和迭代速度上有较好的效果.%Optimal power flow solution of power system has been the focus of the study. It introduces the quantum-behaved particle swarm optimization(QPSO)to deal with the fuel cost of the generating company in the analysis of optimal power flow theory. Then it uses to solve the problem of the power systems. And individual Individual meri's principles to deal with the conditions. Then this algorithm is applied on the standard IEEE30-bus system,the experimental results indicated that QPSO handles optimal power flow problems much efficiently.
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