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Optimal Power Flow Solution Using GA-Fuzzy and PSO-Fuzzy
Abstract The power flow problem deals with certain controllable variables that are adjusted to minimize operating costs, while satisfying operating limits on various controls, dependent variables and function of variables. This paper presents an efficient and reliable nature inspired based approach to solve the optimal power flow (OPF) problems. The proposed approach employs the integration of Fuzzy Systems with genetic algorithm (GA) and particle swarm optimization (PSO) algorithm for optimal setting of OPF problem control variables. The proposed approach has been applied on the modified IEEE 30-bus test system with minimizing the operating costs of system. The results have been compared with the results reported in the literature.
Optimal Power Flow Solution Using GA-Fuzzy and PSO-Fuzzy
Abstract The power flow problem deals with certain controllable variables that are adjusted to minimize operating costs, while satisfying operating limits on various controls, dependent variables and function of variables. This paper presents an efficient and reliable nature inspired based approach to solve the optimal power flow (OPF) problems. The proposed approach employs the integration of Fuzzy Systems with genetic algorithm (GA) and particle swarm optimization (PSO) algorithm for optimal setting of OPF problem control variables. The proposed approach has been applied on the modified IEEE 30-bus test system with minimizing the operating costs of system. The results have been compared with the results reported in the literature.
Optimal Power Flow Solution Using GA-Fuzzy and PSO-Fuzzy
Kumar, S. (author) / Chaturvedi, D. K. (author)
Journal of The Institution of Engineers (India): Series B ; 95 ; 363-368
2014-07-09
6 pages
Article (Journal)
Electronic Resource
English
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