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An application of particle swarm optimisation method for solving network reconfiguration problem in distribution system

机译:粒子群算法在配电网网络重构中的应用

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Particle swarm optimisation (PSO) is an intelligent optimisation algorithm with different variants that are developed according to the targeted application. These variants are obtained by changing the parameters of the PSO algorithm like inertia weight, constriction factor, and acceleration factor. These variants can be utilised for various power system optimisation requirements such as distribution automation, for a targeted application. Distribution network reconfiguration (DNR) is one such application that involves high computational complexity and requires an intelligent optimisation technique for its solution. In this paper different variants of PSO are applied to DNR problem like binary PSO, crazy PSO, and enhanced inter coded PSO for 16 bus and 33 bus test systems. These variants ensure proper exploration and exploitation of the search space to obtain optimum and quick solution for the DNR problem.
机译:粒子群优化(PSO)是一种智能优化算法,具有根据目标应用开发的不同变体。这些变量是通过更改PSO算法的参数(例如惯性权重,压缩因子和加速因子)获得的。这些变型可用于各种电力系统优化要求,例如针对目标应用的配电自动化。配电网络重新配置(DNR)就是这样一种应用程序,它涉及很高的计算复杂度,并且需要一种智能的优化技术来解决其问题。本文将PSO的不同变体应用于DNR问题,例如二进制PSO,疯狂PSO和用于16总线和33总线测试系统的增强的帧间编码PSO。这些变体可确保对搜索空间进行适当的探索和利用,以获得DNR问题的最佳且快速的解决方案。

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