基于改进二进制粒子群算法的配电网多目标重构

Multi－objective Ｒeconfiguration of Distribution Network Based on Improved Binary Particle Swarm Algorithm

摘要:

配电网重构作为配电自动化系统的一个重要组成部分,能够有效提高配电网运行的经济性和可靠性。提出以网络有功网损和网络电压偏移构建配电网重构的多目标数学模型,根据系统初始状态将各指标归一化处理,利用权重系数法将多目标重构问题转化为单目标问题。为克服二进制粒子群算法容易陷入局部最优而难以跳出的问题,将非线性动态调整的惯性权重系数引入到粒子速度更新公式之中,以提高二进制粒子群算法的全局搜索效率和收敛速度。算例结果验证了所提方法的有效性。

Abstract:

As an important part of distribution automation system，distribution network reconfiguration can effectively improve the economical efficiency and reliability of the operation of distribution network． The multi － objective mathematical model of distribution network reconfiguration is constructed by network active power loss and network voltage offset． The indicators are normalized according to the initial state of the system，and the multi － objective reconfiguration problem is converted into a single － objective problem by weight coefficient method． In order to overcome the problem that the binary particle swarm algorithm ( BPSO) is easy to fall into local optimum and difficult to jump out，the inertial weight coefficient of nonlinear dynamic adjustment is introduced into the particle velocity update formula to improve the global search efficiency and convergence speed of binary particle swarm algorithm． Ｒesults of calculation example show that the proposed method is effective．