Optimal reactive power dispatch problem using a two-archive multi-objective grey wolf optimizer |
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| Affiliation: | 1. Robotic Engineering Research Laboratory, Department of Electrical Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen 40002, Thailand;2. Sustainable Infrastructure Research and Development Center, Department of Mechanical Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen 40002, Thailand;1. LRIT, Associated Unit to CNRST (URAC 29), Faculty of Sciences, Mohammed V University, Rabat, Morocco;2. LGS, National School of Applied Sciences (ENSA), Ibn Tofail University, Kenitra, Morocco;1. Faculty of Engineering and Natural Science, Sabanci University, Istanbul, Turkey;2. Faculty of Engineering, Marmara University, Istanbul, Turkey;1. School of Management, Liaoning Normal University, 850 Huanghe Road, Sha He Kou District, Dalian City, Liaoning Province, China, 116029;2. Faculty of Management and Economics, Dalian University of Technology, 2 Linggong Road, Gan Jing Zi District, Dalian City, Liaoning Province, China, 116024;3. Agricultural Bank of China Data Center, 88 Aoni Street, Pudong New Area, Shanghai City, China, 201200 |
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| Abstract: | In this paper, a novel two-archive Multi-Objective Grey Wolf Optimizer (2ArchMGWO) is proposed for solving Multi-Objective Optimal Reactive Power Dispatch (MORPD) problems. The optimizer has been improved from its original Multi-Objective Grey Wolf Optimizer (MGWO) by modifying the reproduction operator and adding the 2-archive concept to the algorithm. It is then implemented on solving MORPD with objective functions being active power loss minimization and voltage profile improvement (voltage deviation minimization). The generator bus voltages, tap setting transformers and shunt reactive power sources or flexible alternating current transmission systems are set as design variables. The proposed algorithm along with other existing multiobjective optimizers are applied to solve three test problems with the standard IEEE 30-bus, IEEE 57-bus, and the IEEE 118-bus power systems. The optimum results obtained from the various optimizers performance are compared based on the hypervolume indicator and they reveal that 2ArchMGWO is clearly superior to the others. |
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