A solution to the unit commitment problem-a review

被引：130
作者：
Saravanan B. [1 ]
Das S. [1 ]
Sikri S. [1 ]
Kothari D.P. [2 ]
机构：
[1] School of Electrical Engineering, VIT University, Vellore
[2] Raisoni Group of Institutions, Nagpur
来源：
Frontiers in Energy | 2013年 / 7卷 / 2期
关键词：
deterministic load; evolutionary programming (EP); hybrid; optimization; stochastic load; unit commitment (UC);
D O I：
10.1007/s11708-013-0240-3
中图分类号：
学科分类号：
摘要：
Unit commitment (UC) is an optimization problem used to determine the operation schedule of the generating units at every hour interval with varying loads under different constraints and environments. Many algorithms have been invented in the past five decades for optimization of the UC problem, but still researchers are working in this field to find new hybrid algorithms to make the problem more realistic. The importance of UC is increasing with the constantly varying demands. Therefore, there is an urgent need in the power sector to keep track of the latest methodologies to further optimize the working criterions of the generating units. This paper focuses on providing a clear review of the latest techniques employed in optimizing UC problems for both stochastic and deterministic loads, which has been acquired from many peer reviewed published papers. It has been divided into many sections which include various constraints based on profit, security, emission and time. It emphasizes not only on deregulated and regulated environments but also on renewable energy and distributed generating systems. In terms of contributions, the detailed analysis of all the UC algorithms has been discussed for the benefit of new researchers interested in working in this field. © 2013 Higher Education Press and Springer-Verlag Berlin Heidelberg.
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页码：223 / 236
页数：13
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