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A Comparative Performance Evaluation of a Set of Swarm Intelligence based Optimization Algorithms for Economic Operation with FACTS Devices in Power Systems

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Field Value
 
Title A Comparative Performance Evaluation of a Set of Swarm Intelligence based Optimization Algorithms for Economic Operation with FACTS Devices in Power Systems
 
Creator Gupta, Vikash Kumar
Mishra, Sudhansu Kumar
 
Subject Energy Loss
FACTS
GSA
Operating Cost
Reactive Power Management
TLBO
 
Description 499-507
In this article an effective Reactive Power Management (RPM) method using a Flexible AC Transmission System (FACTS) has been proposed, which minimizes the loss of energy, improves the power transfer capacity and reduces the overall cost of transmission network lines. The position of FACTS was optimized by two recently proposed heuristic optimization techniques, i.e., Gravitational Search Algorithm (GSA) and Teaching Learning Based Optimization (TLBO). It is observed that installing the FACTS in this optimal position improves the voltage profile at minimum installation cost. The overall effectiveness of the proposed approaches were examined by implementing it on a IEEE 30-bus network.
 
Date 2021-08-23T10:47:20Z
2021-08-23T10:47:20Z
2021-06
 
Type Article
 
Identifier 0975-1084 (Online); 0022-4456 (Print)
http://nopr.niscair.res.in/handle/123456789/57925
 
Language en
 
Publisher NIScPR-CSIR, India
 
Source JSIR Vol.80(06) [June 2021]