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Evolutionary programming based economic dispatch of generators with prohibited operating zones
Affiliation:1. School of Computer Science and Engineering, Anna University, Sardar Patel Road, Chennai 600 025, India;2. School of Electrical and Electronics Engineering, Anna University, Sardar Patel Road, Chennai 600 025, India;1. Department of Electrical Engineering, Malaviya National Institute of Technology Jaipur, Jaipur, India;2. Department of Electronic and Electrical Engineering, University of Bath, Bath, UK;1. University of Belgrade-School of Electrical Engineering, The Mihajlo Pupin Institute, Volgina 15, 11060 Belgrade, Serbia;2. Forschungsstelle Energienetze ETH Zurich, Zurich, Switzerland;1. School of Computer Science, South China Normal University, Guangzhou 510631, China;2. College of Cyber Security, Jinan University, Guangzhou 510632, China;3. Institute of Cyber Systems and Control, Zhejiang University, Hangzhou 310018, China
Abstract:This paper presents a new approach using evolutionary programming for solving the economic dispatch (ED) problem of generators when some/all of the units have prohibited operating zones. In this method, additional constraints such as spinning reserve requirements and ramp-rate limits are also considered besides taking into account network losses. The proposed method is implemented for solving a few example dispatch problems. The results obtained by this new approach are compared with those obtained using traditional methods. The study results have shown that the approach developed is feasible and efficient.
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