Artificial bee colony optimization for multi-area economic dispatch |
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| Affiliation: | 1. UM Power Energy Dedicated Advanced Center (UMPEDAC), Level 4, Wisma R&D University of Malaya, JalanPantai Baharu, 59990 Kuala Lumpur, Malaysia;2. Renewable Energy Research Group, King Abdulaziz University, Jeddah 21589, Saudi Arabia;3. Department of Electrical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia;1. UM Power Energy Dedicated Advanced Center (UMPEDAC), Level 4, Wisma R&D University of Malaya, Jalan Pantai Baharu, 59990 Kuala Lumpur, Malaysia;2. Renewable Energy Research Group, King Abdulaziz University, Jeddah 21589, Saudi Arabia;1. Key Lab of Power Electronics for Energy Conservation and Motor Drive of Hebei Province, Yanshan University, Qinhuangdao, Hebei 066004, China;2. Department of Automotive Engineering, Clemson University, 4 Research Drive, Greenville, SC 29607, United States |
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| Abstract: | This paper presents artificial bee colony optimization for solving multi-area economic dispatch (MAED) problem with tie line constraints considering transmission losses, multiple fuels, valve-point loading and prohibited operating zones. Artificial bee colony optimization is a swarm-based algorithm inspired by the food foraging behavior of honey bees. The effectiveness of the proposed algorithm has been verified on three different test systems, both small and large, involving varying degree of complexity. Compared with differential evolution, evolutionary programming and real coded genetic algorithm, considering the quality of the solution obtained, the proposed algorithm seems to be a promising alternative approach for solving the MAED problems in practical power system. |
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