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Optimal reactive power dispatch by particle swarm optimization with an aging leader and challengers
Affiliation:1. Department of Electrical Engineering, Asansol Engineering College, Asansol, West Bengal, India;2. Department of Electrical Engineering, Indian School of Mines, Dhanbad, Jharkhand, India;3. Department of Electrical Engineering, National Institute of Technology, Durgapur, West Bengal, India;1. Electric and Electronics Engineering Department, Bilecik ?eyh Edebali University, Turkey;2. Computer Engineering Department, Dumlup?nar University, Turkey;1. Département génie électrique, Ecole Mohamamdia d’Ingénieurs (EMI), Université Mohammed V Agdal, Rabat, Morocco;2. Laboratoire de Recherche en Economie de l’Energie, Environnement et Ressources, Département d’Economie, University Caddy Ayyad, Marrakech, Morocco;1. Mepco Schlenk Engineering College (Autonomous), Sivakasi, India;2. Department of IT, Mepco Schlenk Engineering College (Autonomous), Sivakasi, India;3. Department of CSE, Mepco Schlenk Engineering College (Autonomous), Sivakasi, India;4. Department of CSE, Ramco Institute of Technology, Rajapalayam, India;1. Department of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung 811, Taiwan, ROC;2. Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung 804, Taiwan, ROC;3. Department of Computer Science and Information Engineering, Tamkang University, Taipei 251, Taiwan, ROC;1. Department of Economics, Ca’ Foscari University of Venice, Italy;2. Department of Management, Ca’ Foscari University of Venice, Italy;1. Department of Information Engineering, I-Shou University, Kaohsiung 84001, Taiwan;2. Department of Electrical Engineering, I-Shou University, Kaohsiung 84001, Taiwan
Abstract:This study presents a particle swarm optimization (PSO) with an aging leader and challengers (ALC-PSO) for the solution of optimal reactive power dispatch (ORPD) problem. The ORPD problem is formulated as a nonlinear constrained single-objective optimization problem where the real power loss and the total voltage deviations are to be minimized separately. In order to evaluate the performance of the proposed algorithm, it has been implemented on IEEE 30-, 57- and 118-bus test power systems and the optimal results obtained are compared with those of the other evolutionary optimization techniques surfaced in the recent state-of-the-art literature. The results presented in this paper demonstrate the potential of the proposed approach and show its effectiveness and robustness for solving the ORPD problem of power system.
Keywords:Aging  Leader  Particle swarm optimization  Reactive power dispatch  Power system  Optimization
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