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

Authors:
Hamid Reza Baghaee;Mojtaba Mirsalim;Geveorg B Gharehpetian;Ali Kashefi Kaviani
Affiliations:
Electrical Engineering Department, Amirkabir University of Technology, Tehran, Iran;Electrical Engineering Department, Amirkabir University of Technology, Tehran, Iran, Engineering Department at Saint Mary's University, TX, USA;Electrical Engineering Department, Amirkabir University of Technology, Tehran, Iran;ECE Department, College of Engineering and Computing, Florida International University, Miami, FL, USA
Venue:
Simulation
Year:
2012

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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.