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Chaos embedded krill herd algorithm for optimal VAR dispatch problem of power system
Affiliation:1. State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology (HUST), Wuhan 430074, PR China;2. College of Electrical Engineering and New Energy, Three Gorges University, Yichang 443002, PR China;3. China Electric Power Research Institute, Beijing 100192, PR China;4. State Power Economic Research Institute, Beijing 100761, PR China
Abstract:Chaotic krill herd algorithm (KHA) (CKHA) is proposed in this paper to solve the optimal VAR dispatch problem of power system considering either minimization of real power loss or that of absolute value of total voltage deviation or improvements of voltage profile as an objective while satisfying all the equality and the inequality constraints of the power system network. Detailed studies of different chaotic maps are illustrated. Among these, Logistic map is considered in the proposed technique to improve the performance of the basic KHA. The performance of the proposed CKHA is implemented, successfully, on standard IEEE 14- and IEEE 118-bus test power systems in which the control of bus voltages, tap position of transformers and reactive power sources are involved. The results offered by the proposed CKHA are compared to other evolutionary optimization based techniques surfaced in the recent state-of-the-art literature. Simulation results indicate that the proposed CKHA approach yields better optimization efficacy over some other recent popular techniques in terms of results offered, effectiveness, quality of solution and convergence speed.
Keywords:Chaos  Krill herd algorithm  Optimization  Power system  VAR dispatch
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