基于扰动粒子群算法的统一潮流控制装置的优化配置与参数设置

A. Laifa, M. Boudour
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引用次数: 25

摘要

本文应用微扰粒子群优化(PPSO)技术求解统一潮流控制器(UPFC)的最优位置和参数设置,以提高单线突发事件下电力系统的安全性。首先概述了偶然性分析,以确定最严重的线路中断偶然性,将线路过载和母线电压限制违规作为性能指标。然后,应用该算法在确定的应急场景下,找出UPFC的最优位置和参数设置。在ieee14总线系统上进行了仿真。结果表明,粒子群算法是一种强大的优化技术,提高了标准粒子群算法的收敛性。将UPFC安装在该方法确定的最优位置,可以消除或最大限度地减少过载线路数量和母线电压限值违规,从而显著提高电力系统的安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal placement and parameter settings of unified power flow controller device using a perturbed particle swarm optimization
This paper presents the application of a perturbed particle swarm optimization (PPSO) technique to find optimal location and parameter setting of unified power flow controller (UPFC) for enhancing power system security under single line contingencies. A contingency analysis is first outlined to identify the most severe line outage contingencies, considering lines overload and bus voltage limit violations as a performance index. Then, the proposed algorithm is applied to find out the optimal location and parameter setting of UPFC under the determined contingency scenario. Simulations are performed on IEEE 14 bus system. The results indicate that PPSO is a powerful optimization technique and enhance the convergence of the standard PSO. Installing UPFC in the optimal location determined by the proposed approach can significantly enhance the security of power system by eliminating or minimizing the number of overloaded lines and the bus voltage limit violations.
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