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Utility of PSO for power loss minimization in a power system network

机译:PSO在电力系统网络中最小化功率损耗的效用

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摘要

This paper presents a Particle Swarm Optimization (PSO) based algorithm to optimize the power flow in a power system network. Transmission loss function has been used as the problem objective. Various constraints participating in the problem formulation are voltage magnitude constraint, tap setting value constraint and nodal reactive capacity constraint. Load flow studies using standard Newton-raphson method and incorporation of optimization method using PSO have been done for standard IEEE 14-bus system and IEEE 30-bus system. Simulations are carried out using MATLAB. Optimal strings for bus parameters are obtained such that the transmission losses are minimized. Also the effect of variation of number of particles along with the changing number of iterations is compared for both the systems. Effect of constriction factor on the rate of convergence has been shown graphically.
机译:本文提出了一种基于粒子群优化(PSO)的算法来优化电力系统网络中的潮流。传输损耗函数已用作问题目标。参与问题表述的各种约束是电压幅度约束,抽头设定值约束和节点无功容量约束。已经针对标准IEEE 14总线系统和IEEE 30总线系统进行了使用标准Newton-raphson方法的潮流研究以及使用PSO的优化方法的合并。使用MATLAB进行仿真。获得总线参数的最佳字符串,以使传输损耗最小。还比较了两个系统的粒子数量变化以及迭代次数变化的影响。压缩因子对收敛速度的影响已通过图形显示。

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