基于改进二进制粒子群优化算法的负荷均衡化配电网重构

提出了基于改进的二进制粒子群优化算法、以均衡负荷为目标的配电网重构方法。将配电网重构问题表示为以负荷均衡指标最小为目标函数的非线性优化问题,针对配电网开环运行的结构特点对配电网拓扑结构模型进行了简化,并对二进制粒子群优化算法加以改进,以保证配电网的辐射状结构,同时大大减少迭代次数。算例分析结果表明,该方法能够有效解决负荷均衡化的配电网重构问题,计算速度快,收敛性好。

Distribution Network Reconfiguration for Load Balancing Based on Improved Binary Particle Swarm Optimization

A method based on improved binary particle swarm optimization(PSO) is proposed for distribution network reconfiguration with the objective of load balancing.The distribution network reconfiguration is expressed as a nonlinear optimization problem whose objective function is minimized load balancing index.According to the structural features of distribution network with open-loop operating mode,the topological model of distribution network is simplified and the binary particle swarm optimization algorithm is improved to ensure the radial structure of distribution network and evidently reduce the times of iteration.Case analysis results show that the proposed method can effectively solve the reconfiguration of distribution network in which the loads are balanced and the proposed method is of high calculation speed and good convergence.