Comparison of GSA and PSO-Based Optimization Techniques for the Optimal Placement of Series and Shunt FACTS Devices in a Power System

被引:2
作者
Singh, Rajat Kumar [1 ]
Gupta, Vikash Kumar [1 ]
机构
[1] BIT, Dept EEE, Ranchi, Jharkhand, India
来源
ARTIFICIAL INTELLIGENCE AND EVOLUTIONARY COMPUTATIONS IN ENGINEERING SYSTEMS, ICAIECES 2016 | 2017年 / 517卷
关键词
FACTS devices; GSA; PSO; Reactive power flow; Operating cost; REACTIVE POWER; FLOW;
D O I
10.1007/978-981-10-3174-8_33
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents the application of gravitational search algorithm (GSA) and particle swarm optimization (PSO)-based approach along with multiple FACTS (flexible AC transmission system) devices for the economic operation of an interconnected power system under different loading condition. Two different types of FACTS devices such as static Var compensator (SVC) and thyristor-controlled series capacitor (TCSC) are used in this paper. The location of the FACTS devices is obtained by the reactive power flow in the transmission lines. The reactive loading of the system have been increased from the base value to 110 and 120% of base reactive loading. Finally, results have been compared between both the techniques in terms of minimization of active power loss and operating cost.
引用
收藏
页码:375 / 385
页数:11
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