| 一种新的混合优化算法求解配电网重构 |
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| 引用本文： | 罗绮,吕林.一种新的混合优化算法求解配电网重构[J].电力系统及其自动化学报,2009,21(1). |
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| 作者姓名： | 罗绮 吕林 |
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| 作者单位： | 四川大学电气信息学院,成都,610065 |
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| 摘 要： | 传统粒子群算法(particle swarm optimization,PSO)容易早熟的问题,限制了其在配电网的应用和发展,故把二进制粒子群遗传算法(genetic binary particle swarm optimization,GBPSO)应用到配电网重构中.该算法利用遗传算法(genetic algorithm,GA)的变异能力改善粒子群算法的早熟情况.同时考虑到配电网的特殊性,采用了十进制编码规则,优化了编码方式.算例证明了该方法用于配电网重构的可行性和优越性.
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| 关 键 词： | 配电网重构 粒子群算法 遗传算法 |
A New Hybrid Optimal Algorithm to Solve Distribution Network Reconfiguration |
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| LUO Qi,Lü Lin.A New Hybrid Optimal Algorithm to Solve Distribution Network Reconfiguration[J].Proceedings of the CSU-EPSA,2009,21(1). |
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| Authors: | LUO Qi Lü Lin |
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| Affiliation: | School of Electrical Information;Sichuan University;Chengdu 610065;China |
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| Abstract: | The disadvantage of particle swarm optimization(PSO) can cause prematurity restricts its further applications in distribution network reconfiguration(DNR).A genetic binary particle swarm optimization(GBPSO) algorithm is applied to solving PSO's prematurity with GA's mutation in DNR.Considering the particularity of distribution network,decimal coding is propsed in GBPSO in stead of binary coding to make coding easier.Case verified its feasibility and superiority in DNR. |
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| Keywords: | distribution network reconfiguration(DNR) particle swarm optimization(PSO) genetic algorithm(GA) |
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