The Application of Multi-Objective Particle Swarm Optimization in Economic Dispatch of Power System
Economic dispatch(ED) is a typical power system operation optimization problem.But it has non-smooth cost functions with equality and inequality constraints that make the problem of finding the global optimum difficult.According to the characteristics of economic dispatch problem,a improved algorithm based on particle swarm optimization for solving economic dispatch strategy is researched in this paper.Multi-objective economicenvironmental dispatch demands that the pollutant emission of power plants should reach minimum while the condition of least generation cost should be satisfied.According to this demand,this multi-objective problem is solved by improved particle swarm optimization (PSO) algorithm.Using particle position and speed of change in the familiar update,the multi-objective particle swarm algorithm based on test function of this algorithm,and the simulation results of simulation optimization.The effectiveness of the proposed algorithm is verified by Simulation.
Power System Economic Dispatch Multi-objective Particle Swarm Optimization Optimization Problem
Peng Zheng Wen-Tan jiao
Department of Electrical Engineering and Automation,Luoyang Institute of Science and Technology,Luoyang,471023,Peoples R China
国际会议
郑州
英文
1893-1896
2013-10-19（万方平台首次上网日期，不代表论文的发表时间）