A clonal algorithm to solve economic load dispatch |
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| Affiliation: | 1. Department of Electrical Engineering, Indian Institute Technology, Delhi 110016, India;2. Department of Manufacturing Engineering, National Institute of Foundry and Forge Technology, Ranchi 834003, India;3. Research Promotion Cell, Department of Forge Technology, NIFFT, Ranchi, India;1. Electric Power and Machine Department, Faculty of Engineering, Ain Shams University, Cairo, Egypt;2. Electric Power and Machine Department, Faculty of Engineering, Zagazig University, Zagazig, Egypt;1. The Innovative Center of Wind Equipments and Energy Conversion, Hunan Institute of Engineering, Xiangtan 411104, China;2. School of Electrical and Information Engineering, Hunan University, Changsha 410082 China;1. State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China;2. College of Electronics and Information Engineering, South-Central University for Nationalities, Wuhan 430074, China;3. Industrial and Systems Engineering, University at Buffalo—SUNY, Buffalo, NY 14260, USA |
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| Abstract: | This paper presents a novel optimization approach to constrained economic load dispatch (ELD) problem using artificial immune system (AIS). The approach utilizes the clonal selection principle and evolutionary approach wherein cloning of antibodies is performed followed by hypermutation. The proposed methodology easily takes care of transmission losses, dynamic operation constraints (ramp rate limits) and prohibited zones and also accounts for non-smoothness of cost function arising due to the use of multiple fuels. Simulations were performed over various systems with different number of generating units and comparisons are performed with other prevalent approaches. The findings affirmed the robustness, fast convergence and proficiency of proposed methodology over other existing techniques. |
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