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电网技术  2014 

基于协同粒子群优化算法的配电网三相不平衡状态估计

DOI: 10.13335/j.1000-3673.pst.2014.04.031, PP. 1026-1031

Keywords: 分布式电源,状态估计,配电网,协同粒子群优化,三相不平衡

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Abstract:

为解决配电网三相不平衡状态估计的优化问题,提出一种基于粒子群优化的协同粒子群优化算法(Co-PSO),即在主种群进行全局寻优的同时,将状态估计的状态变量分为多个相互独立的子空间,每个子空间由一个子种群来求解;子种群在主种群结果的基础上进行优化,主种群不断引入子种群结果,二者协同进化、相互促进。IEEE13-bus、37-bus和123-bus多个标准算例的实验结果表明,提出的优化方法能够有效估计不确定负荷及分布式电源出力。通过和基本粒子群算法、多种改进的粒子群方法、遗传算法等进行比较,也证明了提出的协同粒子群方法的有效性和适用性。

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