Optimal hybrid PV/WT/FC sizing and distribution system reconfiguration using multi-objective artificial bee colony (MOABC) algorithm |
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| Authors: | H Nasiraghdam S Jadid |
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| Affiliation: | 1. Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran;2. Department of Electrical Engineering, Iran University of Science and Technology (IUST), Tehran, Iran;1. Department of Electrical Engineering, University of Jaén, EPS Linares, C/ Alfonso X, no. 28, 23700 Linares, Jaén, Spain;2. Department of Electrical Engineering, University of Cádiz, ESI Cádiz, C/ Chile, no. 1, 11002 Cádiz, Spain;3. Department of Electrical Engineering, University of Cádiz, EPS Algeciras, Avda. Ramón Puyol, s/n, 11202 Algeciras, Cádiz, Spain;1. Universidad de Quintana Roo, Blvd. Bahía s/n esq, I. Comonfort, Col. del Bosque, 77019, Chetumal, Quintana Roo, Mexico;2. Centro de Investigación y Desarrollo Tecnológico en Electroquímica S.C., Parque Tecnológico Querétaro, Sanfandila, Pedro Escobedo, Querétaro, Mexico;3. Unidad Académica de Ciencias Químicas, Universidad Autónoma de Zacatecas, Campus Universitario Siglo XXI, Ejido la Escondida, 98160, Zacatecas, Mexico;4. Centro de Investigación y de Estudios Avanzados del IPN-Unidad Guadalajara, Av. Científica 1145, Col. El Bajío, 45015, Zapopan, Jalisco, Mexico;1. Power Electronics and Renewable Energy Research Laboratory (PEARL), Department of Electrical Engineering, University of Malaya, Kuala Lumpur, Malaysia;2. Department of IT, Faculty of Engineering & Technology, SRM University, 603203 Chennai, India;3. UM Power Energy Dedicated Advanced Centre (UMPEDAC), Level 4, Wisma R&D UM, Jalan Pantai Baharu, 59990 Kuala Lumpur, Malaysia;4. Department of Engineering, Design and Manufacture, University of Malaya, 50603 Kuala Lumpur, Malaysia |
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| Abstract: | In this paper, a novel multi-objective artificial bee colony algorithm is presented to solve the distribution system reconfiguration and hybrid (photo voltaic/wind turbine/fuel cell) energy system sizing. The purposes of the multi-objective optimization problem include the total power loss, the total electrical energy cost, and the total emission produced by hybrid energy system and the grid minimization, and the voltage stability index (VSI) of distribution system maximization. In the proposed algorithm, an external archive of non-dominated solutions is kept which is updated in each iteration. In addition, for preserving the diversity in the archive of Pareto solutions, the crowding distance operator is used. This algorithm is tested on 33 bus distribution systems and obtained non-dominated solutions are compared with the well-known NSGA-II and MOPSO methods. The solutions obtained by the MOABC algorithm have a good quality and a better diversity of the Pareto front compared with those of NSGA-II and MOPSO methods. |
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