A new genetic approach for solving the unit commitment problem

被引：0
|
作者：
Ganguly, D [1 ]
Sarkar, V [1 ]
Pal, J [1 ]
机构：
[1] Deemed Univ, BE Coll, Howrah 711103, India
来源：
2004 International Conference on Power System Technology - POWERCON, Vols 1 and 2 | 2004年
关键词：
Unit Commitment; parallel system; economic status; feasible schedule; Genetic Algorithm;
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：
This paper presents a new genetic approach for solving the thermal Unit Commitment (UC) problem. A parallel system model has been developed to handle the infeasibility problem in a structured way and thus to provide an effective search. Typical constraints like minimum up and down times, start up and shutdown ramps, must run and must not run have been considered. A number of important parameters related to UC problem have been identified. These parameters have been utilized to develop some intelligent mutation operators as well as two special schemes. Tests have been performed on 10, 16 and 20 unit systems over a scheduling period of 24 hours. The results are found to be better than those obtained through two genetic schemes proposed in earlier literature.
引用
收藏
页码：542 / 547
页数：6
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