Particle swarm optimization solution to emission and economic dispatch problem

被引:21
作者
Kumar, AIS [1 ]
Dhanushkodi, K [1 ]
Kumar, JJ [1 ]
Paul, CKC [1 ]
机构
[1] Karunya Inst Technol, EIE, Coimbatore 641114, Tamil Nadu, India
来源
IEEE TENCON 2003: CONFERENCE ON CONVERGENT TECHNOLOGIES FOR THE ASIA-PACIFIC REGION, VOLS 1-4 | 2003年
关键词
D O I
10.1109/TENCON.2003.1273360
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents an efficient and reliable particle swarm optimization (PSO) algorithm based technique for solving the emission and economic dispatch (E&ED) problems. The harmful ecological effects by the emission of particulate and gaseous pollutants from fossil fuel power plants, can be reduced by proper load allocation among the various generating units of the plants. But this load allocation may lead to increase in the operating cost of the generating units. So, it is necessary to find out a solution which gives a balanced result between emission and cost. In this paper, particle swarm optimization solution to E&ED problems is presented. The results are obtained for a test system with six generating units. The performance of the PSO is compared with conventional method, real coded genetic algorithm and hybrid genetic algorithm. The results clearly show that the proposed method gives global optimum solution compared to the other methods.
引用
收藏
页码:435 / 439
页数:5
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