Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/57925
Title: A Comparative Performance Evaluation of a Set of Swarm Intelligence based Optimization Algorithms for Economic Operation with FACTS Devices in Power Systems
Authors: Gupta, Vikash Kumar
Mishra, Sudhansu Kumar
Keywords: Energy Loss;FACTS;GSA;Operating Cost;Reactive Power Management;TLBO
Issue Date: Jun-2021
Publisher: NIScPR-CSIR, India
Abstract: 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.
Page(s): 499-507
URI: http://nopr.niscair.res.in/handle/123456789/57925
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.80(06) [June 2021]

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