Genetic Algorithm Solution to Unit Commitment Problem

被引：0
|
作者：
Madraswala, Hatim S. [1 ]
Deshpande, Anuradha S. [1 ]
机构：
[1] Maharaja Sayajirao Univ, Dept Elect Engn, Vadodara 390001, Gujarat, India
来源：
PROCEEDINGS OF THE FIRST IEEE INTERNATIONAL CONFERENCE ON POWER ELECTRONICS, INTELLIGENT CONTROL AND ENERGY SYSTEMS (ICPEICES 2016) | 2016年
关键词：
Unit Commitment; Genetic Algorithm; Economic Load Dispatch; LAGRANGIAN-RELAXATION;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In this paper, Genetic Aigorithm (GA) is used to solve the Unit Commitment (UC) Problem. Unit commitment problem was formulated with consideration of up & down time, startup cost (Hot & Cold start), and production cost. Unit commitment schedule as well as economic dispatch is obtained to obtain total cost of generation. Problem specific operators are used in the algorithm to improve the quality of the solution obtained and increase the convergence speed of problem. Performance of the GA is tested on 2 IEEE test systems, one of 5 units, 14 bus and another of 7 units, 56 bus respectively over the scheduling period of 24 hours. Results give an insight in the superiority of GA to other methods for solving UC problem.
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页数：6
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