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Particle Swarm Optimization based Allocation of FACTS Devices for Increased Load Ability of Power System

机译:基于粒子群优化的FACTS装置分配以提高电力系统的负荷能力

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This paper presents Particle Swarm Optimization (PSO) based approach for the allocation & coordinated operation of multiple FACTS (Flexible AC Transmission System) devices for the economic operation as well as to increase power transfer capacity of an interconnected power system under different loading condition. The PSO based approach is applied on IEEE 30-bus system. The system is reactively loaded starting from base to 200% of base load. FACTS devices are installed in the different locations of the power system and system performance is noticed with and without FACTS devices. First, the locations, where the FACTS devices to be placed is determined by calculating active and reactive power flows in the lines. A Particle Swarm Optimization based algorithm is then applied to find the amount of magnitudes of the FACTS devices. This Particle Swarm Optimization based approach for the placement of FACTS devices Yields promising result both in terms of performance and economy which is clearly observed from the result obtained.
机译:本文提出了一种基于粒子群优化(PSO)的方法,用于多个FACTS(柔性交流输电系统)设备的分配和协调运行,以实现经济运行,并提高互连电力系统在不同负载条件下的输电能力。基于PSO的方法适用于IEEE 30总线系统。系统从基本负载到基本负载的200%开始进行无功负载。 FACTS设备安装在电力系统的不同位置,无论有无FACTS设备,系统性能均得到关注。首先,通过计算线路中的有功功率和无功功率来确定要放置FACTS设备的位置。然后应用基于粒子群优化的算法来找到FACTS设备的数量级。这种基于粒子群优化的FACTS器件放置方法在性能和经济性方面均产生了令人鼓舞的结果,从获得的结果中可以清楚地看到这一点。

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