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Hybrid PSO-tabu search for the optimal reactive power dispatch problem

Abstract : This paper presents a new approach to solve the optimal reactive power dispatch (ORPD) problem based on hybridizing Particle Swarm Optimization (PSO) and Tabu-Search (TS) meta-heuristics (PSO-TS). The ORPD problem is formulated as a nonlinear constrained single-objective optimization problem where the real power loss is to be minimized. The proposed approach is used to find the settings of the control variables such as generator voltages, tap positions of tap changing transformers and the amount of reactive compensation devices, to optimize power transmission loss. The study was implemented on IEEE 30-bus systems, and the results were compared with non-hybridized PSO and TS and other evolutionary algorithms reported in the literature.
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Submitted on : Monday, November 8, 2021 - 9:41:00 AM
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Zahir Sahli, Abdelghani Bekrar, Damien Trentesaux, Abdelatif Hamouda. Hybrid PSO-tabu search for the optimal reactive power dispatch problem. IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Oct 2014, Dallas, United States. pp.3536-3542, ⟨10.1109/IECON.2014.7049024⟩. ⟨hal-03418726⟩



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