Security/cost-based optimal allocation of multi-type FACTS devices using multi-objective particle swarm optimization-Reference-Cited by-同舟云学术

Security/cost-based optimal allocation of multi-type FACTS devices using multi-objective particle swarm optimization

Published:2012-03-21 Issue:8 Volume:88 Page:999-1010
ISSN:0037-5497
Container-title:SIMULATION
language:en
Short-container-title:SIMULATION

Author:

Baghaee Hamid Reza¹,Mirsalim Mojtaba¹²,Gharehpetian Geveorg B¹,Kaviani Ali Kashefi³

Affiliation:

1. Electrical Engineering Department, Amirkabir University of Technology, Tehran, Iran

2. Engineering Department at Saint Mary’s University, TX, USA

3. ECE Department, College of Engineering and Computing, Florida International University, Miami, FL, USA

Abstract

Flexible alternating current transmission system (FACTS) devices can regulate the active and reactive power as well as voltage-magnitude. Placement of these devices in suitable locations can lead to the control of line power flow, bus voltages and short circuit currents at desired levels and, as a result, improvement of power system security margins. This paper presents an optimal allocation algorithm for FACTS devices based on a novel m-objective particle swarm optimization method considering both power system costs and security. The proposed algorithm has successfully been applied to an IEEE 30-bus power system and the results are presented and discussed.

Publisher

SAGE Publications

Subject

Computer Graphics and Computer-Aided Design,Modelling and Simulation,Software

Link

http://journals.sagepub.com/doi/pdf/10.1177/0037549712438715

Reference36 articles.

1. Congestion management in open access based on relative electrical distances using voltage stability criteria

2. Locating series FACTS devices for congestion management in deregulated electricity markets

3. Impact of unified power flow controllers on power system reliability

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