A genetic algorithm to solve the thermal unit commitment problem. (29th October 2014)

• Record Type: Journal Article
• Authors: Labbi, Yacine; Benattous, Djilani
• Is Part Of: International journal of power and energy conversion. Volume 5:Number 4(2014)
• Page Start: 344
• Page End: 360
• Publication Date: 2014-10-29
• Subjects: electrical power generation -- genetic algorithms -- metaheuristics -- optimisation -- thermal unit commitment -- load demand -- spinning reserve; Energy conversion -- Periodicals; Power resources -- Periodicals; Electric power production -- Periodicals; 621.31205
• Languages: English
• ISSNs: 1757-1154

Abstract

In this paper, a genetic algorithm (GA) is proposed to solve the thermal unit commitment (UC) problem. The objective of UC is to determine the optimal generation of the committed units to meet the load demand and spinning reserve at each time interval, such that the overall cost of generation is minimised, while satisfying different operational constraints. The results obtained show that, with the application of the proposed method (GA) to the unit commitment problem, better convergences and solutions are obtained than with other metaheuristic algorithms.