Genetic Algorithms And Its Application To Economic Load Dispatch

被引：0
|
作者：
Borana, Kavita [1 ]
机构：
[1] Mody Inst Technol & Sci, Elect & Elect Dept, Laxmangarh, Rajasthan, India
来源：
INTERNATIONAL CONFERENCE ON METHODS AND MODELS IN SCIENCE AND TECHNOLOGY (ICM2ST-10) | 2010年 / 1324卷
关键词：
Genetic Algorithm; Economic Load Dispatch; Unit commitment;
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：
Genetic Algorithm (GA) is a search method that simulates the process of natural selection and it attempts to find a good solution to some problem by randomly generating a collection of potential solutions to the problem and then manipulating those solutions using genetic operators. Through selection, mutation and re-combination (crossover) operations, better solutions are hopefully generated out of the current set of potential solutions. This process continues until an acceptable solution is found. GA is becoming popular to solve the optimization problems mainly because of its robustness in finding optimal solution and ability to provide near optimal solution close to global optimum. The ELD approach is tested on sample 3-generator system with the load of 24 hours.
引用
收藏
页码：239 / 243
页数：5
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