电力系统保护与控制Issue(16)：73-78,6.
基于量子粒子群算法多目标优化的配电网动态重构
Multi-objective optimization of distribution network dynamic reconfiguration based on integer coded quantum particle swarm optimization algorithm
摘要
Abstract
To ensure the dynamic reconfiguration of distribution network system safe and stable operation, a dynamic reconfiguration method for distribution network isproposed based on integer coded quantum particle swarm optimizationalgorithmwhich takes the minimum network loss and node voltage stability as the objective function. First, a day of load forecasting curve is divided into several time intervals based on its monotonicity and amplitude changes. Then integer quantum particle swarm optimization algorithm is adopted to realize dynamic distribution network reconfiguration. In order to find the best number of refactoring, the optimal time refactoring function is proposed based on adjacent time refactoring changes value network loss. In consideration of the power distribution network loss minimum and node voltage fluctuations largest and smallest for the target, we are looking for best reconstruction of the distribution network structure on the basis of IEEE33 distribution system, the reconstructed results verify the validity of the proposed method.关键词
配电网/动态重构/最优重构次数/多目标/整数型量子粒子群算法Key words
power distribution network/dynamic reconfiguration/optimal number of refactoring/multi-objective/integer coded quantum particle swarm optimization algorithm分类
信息技术与安全科学引用本文复制引用
文娟,谭阳红,雷可君..基于量子粒子群算法多目标优化的配电网动态重构[J].电力系统保护与控制,2015,(16):73-78,6.基金项目
国家自然科学基金项目(61102039，51107034)；湖南省自然科学基金资助项目(14JJ7029) This work is supported by National Natural Science Foundation of China (No.61102039 and No.51107034) and Natural Science Foundation of Hunan Province (No.14JJ7029) （61102039，51107034）
