An efficient hybrid MPSO-GA algorithm for solving non-smooth/non-convex economic dispatch problem with practical constraints

被引:20
作者
Barati, Hassan [1 ]
Sadeghi, Mohammad [1 ]
机构
[1] Islamic Azad Univ, Dept Elect Engn, Dezful Branch, Dezful, Iran
关键词
Economic load dispatch; Non-convex function; Genetic algorithm (GA); Modified particle swarm optimization (MPSO); PARTICLE SWARM OPTIMIZATION; EVOLUTIONARY PROGRAMMING TECHNIQUES; GENETIC ALGORITHM; DIFFERENTIAL EVOLUTION; SEARCH ALGORITHM; TABU SEARCH; NONCONVEX; FLOW;
D O I
10.1016/j.asej.2016.08.008
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The main goal of Economic Dispatch (ED) is to determine the output of generating unit with least cost while satisfying the equality and inequality constraints. Valve-point effect, the ramp rate limits, prohibited operation zones (POZs), Multiple-fuel and transmission losses make the ED a complicated, non-linear constrained problem. Hence, in this paper, a new hybrid method based on modified particle swarm optimization and genetic algorithm (MPSO-GA) is proposed to solve such complicated problem. The feasibility of the proposed method is validated on six, ten and fifteen units test system. The results obtained by the MPSO-GA are compared with other techniques of the literature. These results substantiate the applicability of the proposed method for solving the constrained ED with non-smooth cost functions. (C) 2016 Ain Shams University.
引用
收藏
页码:1279 / 1287
页数:9
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