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Security Constrained Optimal Power Flow Using Self-Organizing Hierarchical PSO with Time-Varying Acceleration Coefficients | OMICS International | Abstract
ISSN: 2229-8711

Global Journal of Technology and Optimization
Open Access

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Research Article

Security Constrained Optimal Power Flow Using Self-Organizing Hierarchical PSO with Time-Varying Acceleration Coefficients

Jirawadee Polprasert1, Weerakorn Ongsakul1 and Dieu Vo Ngoc2*

1Energy Field of Study, School of Environment, Resources and Development, Asian Institute of Technology, Klong Luang, Pathumthani 12120, Thailand

2Department of Power Systems Engineering, Ho Chi Minh City University of Technology, VNU-HCM, HCM City, Vietnam

Corresponding Author:
Dieu Vo Ngoc
Department of Power Systems Engineering
Ho Chi Minh City University of Technology
VNU-HCM, HCM City, Vietnam
Tel: +84-8-38645730
E-mail: [email protected]

Received date: September 15, 2014; Accepted date: September 19, 2014; Published date: September 29, 2014

Citation: Polprasert J, Ongsakul W, Ngoc DV (2014) Security Constrained Optimal Power Flow Using Self-Organizing Hierarchical PSO with Time-Varying Acceleration Coefficients. Global J Technol Optim 5:163. doi:10.4172/2229-8711.1000163

Copyright: © 2014 Polprasert J, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

This paper proposes a self-organizing hierarchical particle swarm optimization (SOHPSO) with time-varying acceleration coefficients (TVAC) for solving security constrained optimal power flow (SCOPF) problem. The SCOPF is to minimize a total generation cost while satisfying generator operational constraints and network security constraints in which the minimum severity index is used to alleviate line loading. The proposed SOHPSO-TVAC re-initializes particle velocities whenever the population stagnates at local optima during the search and TVAC is used to enhance convergence to the global optimum solution. Test results on the IEEE 30 and 118 bus systems indicate that the proposed SCOPF renders a lower total generation cost in a faster convergence rate than the other heuristic methods, which is favorable for online implementation.

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