Economic dispatch solutions with piecewise quadratic cost functions using improved genetic algorithm

Autor:	Young-Moon Park, Jong-Ryul Won
Rok vydání:	2003
Předmět:	Mathematical optimization Search algorithm Genetic algorithm Crossover Piecewise Projection method Economic dispatch Energy Engineering and Power Technology Quadratic function Electrical and Electronic Engineering Mathematics Nonlinear programming
Zdroj:	International Journal of Electrical Power & Energy Systems. 25:355-361
ISSN:	0142-0615
DOI:	10.1016/s0142-0615(02)00098-4
Popis:	This paper presents economic dispatch (ED) solutions with piecewise quadratic cost functions using improved genetic algorithm (GA). GA is a searching or optimizing algorithm based on natural evolution principle. GA has demonstrated considerable success in providing good solutions to many nonlinear optimization problems. This paper proposes two methods in order to improve effectiveness of GA. The first is multi-stage algorithm. The second is the directional crossover. Projection method is introduced to satisfy a linear equality constraint from power balance. In case studies, these algorithms are tested for 6-generator system considering line losses, and 10-generator system with piecewise quadratic cost functions. Results are compared with the solutions of conventional methods.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e41fbfae000394ae5d7a54aed5462a30 https://doi.org/10.1016/s0142-0615(02)00098-4 Zobrazit plný text záznamu Full Text from ScienceDirect