Solution of Environmental/Economic(EED) Power Dispatch problem using Particle Swarm Optimization Technique

被引:0
|
作者
Manojkumar, T. [1 ]
Singh, N. Albert [2 ]
机构
[1] Saveetha Univ, Elect & Elect Engn Dept, Chennai, India
[2] Bharat Sanchar Nigam Ltd, Nagercoil, India
关键词
Environmental/Economic (EED) dispatch; multiobjective optimization; PSO; Pareto optimal solution; EVOLUTIONARY ALGORITHMS;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
By the use of fossil based fuels in generating stations creates more problems while considering the pollution created by the plants. The exact solution of economic dispatch is obtained only by considering those environmental impacts. So economic dispatch becomes environmental economic dispatch problem (EED) and this problem is now bi-objective function with cost function and emission function as objective functions. A multiobjective particle swarm optimization technique for the solution of environmental economical power dispatch problem is proposed in this paper. Here EED problem is formulated a non linear multiobjective function as objective function by considering both equality and inequality constraints. The multiobjective optimization in power systems treat economic and emission as conflicting objectives, to get an optimal solution. So in this paper, the power dispatch is formulated into a two-objective optimization problem, which is to minimize the fuel cost as well as emission simultaneously
引用
收藏
页码:347 / 351
页数:5
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