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中文摘要：
针对配电网络重构多为单一性能最优重构，提出了使配电网线损、负荷均衡、供电电压质量最佳的多目标配网优化模型。结合GA中的进化思想和粒子群算法（PSO）中的群体智能技术，采用遗传粒子群混合算法寻优，通过随机权重方法来获得目标是Pareto前沿面的可搜索方向，体现出较GA和PSO更好的寻优性能。在此基础上制定的配网优化方案能够在保证配网呈辐射状、满足馈线热容、电压降落要求和变压器容量等的前提下，最大限度提高配电系统安全性和经济性。算例表明，该算法在求解性能和效率两方面都有比较显著的优势。
英文摘要：
Based on the single performance of the distribution network reconfiguration, a multi-objective distribution network optimization model is proposed which optimizes the line loss, load balance and voltage quality. Combined with the evolution idea of genetic algorithm （GA） and the population intellectual technique of particle swarm optimization （PSO） algorithm, the hybrid genetic particle swarm optimization algorithm （HGPSOA） was applied to search the optimization. By the random-weighted method, it obtains the objective that is the searching direction of Pareto front. -The distribution network optimization program based on that can further enhance the security and efficiency of the distribution system while assuring that the distribution network is spokewise and satisfies the heat capacity of feeder lines, voltage reducing and transformer capacity. Example calculation shows that the algorithm has advantages both in effectiveness and efficiency.
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