基于粒子群算法的定向过流继电器时间优化

Jagdish Chand Bansal, Kusum Deep
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引用次数: 25

摘要

确定最佳的定向过流继电器时间是电气工程中的一个重要问题。该问题被建模为一个约束非线性优化问题,其中决策变量是控制将故障线路与系统隔离而不干扰健康线路的装置。考虑两种模式,即IEEE-3总线系统和IEEE-4总线系统。使用不同版本的粒子群优化(PSO)来解决这个问题。所得结果与文献中已有的结果进行了比较。结果表明,粒子群算法在最优性和可靠性方面优于其他方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of directional overcurrent relay times by particle swarm optimization
An important problem in electrical engineering is to determine the optimal directional overcurrent relay times. The problem is modeled as a constrained nonlinear optimization problem in which the decision variables are the devices that control the act of isolation of faulty lines from the system without disturbing the healthy lines. Two models are considered namely IEEE-3 bus system and IEEE-4 bus system. The problem is solved using different versions of particle swarm optimization (PSO). The results obtained by PSO are compared with the results available in the literature. It is shown that PSO is able to provide superior results in terms of optimality and reliability in comparison to other methods.
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