文章基本信息

标题：Hydro-Thermal Scheduling by an Evolutionary Programming Method with Cooling-Banking Constraints
本地全文：下载
作者：Nimain Charan Nayak ; C. Christober Asir Rajan
期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2012
卷号：2
期号：3
页码：517-521
出版社：International Journal of Soft Computing & Engineering
摘要：This Paper proposes a new algorithm for solving the Unit Commitment problem in Hydrothermal Power System using an Evolutionary Programming method with Cooling-Banking constraints. The main objective of this paper is to find the generation scheduling by committing the generating units such that the total operating cost can be minimized by satisfying both the forecasted load demand and various operating constraints of the generating units. An initial population of parent solutions is generated at random. Here the parents are obtained from a pre-defined set of solutions i.e. each and every solution is adjusted to meet the requirements. Then, random recommitment is carried out with respect to the unit’s minimum down times. The best population is selected by Evolutionary Strategy. Numerical results are shown comparing the cost solutions and computation time obtained by using the Evolutionary Programming method with cooling and banking constraints than conventional methods like Dynamic Programming.
关键词：Hydro-Thermal Scheduling; Evolutionary;Programming; Unit Commitment.