【摘要】 对传统最优潮流模型做了改进,提出了基于模糊理论和多目标优化理论的最优潮流模型,综合考虑了网损量最小和有功、无功购电费用最低3个目标;将免疫克隆算法和变尺度混沌搜索方法有机地结合起来,形成了免疫克隆混沌优化算法,并应用于改进最优潮流模型的求解。用IEEE 14节点算例进行了仿真分析,结果表明改进最优潮流模型有效,采用免疫克隆混沌算法对改进最优潮流模型求解是可行和高效的。更多还原

【Abstract】 The traditional power flow models are improved and an optimal power flow model based on fuzzy theory and multi-objective optimization is proposed,in which three objectives,i.e.,minimum network loss and minimum purchase cost of reactive and active power,are comprehensively considered and the immune clone algorithm(ICA) is organically integrated with mutative scale chaotic searching method to form fuzzy optimization;immune clonal chaotic optimization algorithm that is applied to solve the improved optimal power flow model.Results of simulation with IEEE 14-bus system show that the proposed improved optimal power flow model is effective,and it is feasible and effective to solve the improved optimal power flow model by the proposed immune clonal chaotic optimization algorithm.更多还原