Paper
2 March 2016 Economic load dispatch using improved gravitational search algorithm
Yu Huang, Jia-rong Wang, Feng Guo
Author Affiliations +
Proceedings Volume 9901, 2nd ISPRS International Conference on Computer Vision in Remote Sensing (CVRS 2015); 990114 (2016) https://doi.org/10.1117/12.2234725
Event: 2015 ISPRS International Conference on Computer Vision in Remote Sensing, 2015, Xiamen, China
Abstract
This paper presents an improved gravitational search algorithm(IGSA) to solve the economic load dispatch(ELD) problem. In order to avoid the local optimum phenomenon, mutation processing is applied to the GSA. The IGSA is applied to solve the economic load dispatch problems with the valve point effects, which has 13 generators and a load demand of 2520 MW. Calculation results show that the algorithm in this paper can deal with the ELD problems with high stability.
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Yu Huang, Jia-rong Wang, and Feng Guo "Economic load dispatch using improved gravitational search algorithm", Proc. SPIE 9901, 2nd ISPRS International Conference on Computer Vision in Remote Sensing (CVRS 2015), 990114 (2 March 2016); https://doi.org/10.1117/12.2234725
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KEYWORDS
Particles

Electroluminescent displays

Particle swarm optimization

Genetic algorithms

Medium wave

Optimization (mathematics)

Evolutionary algorithms

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