Abstract
Unit commitment problem for thermal units consists of finding an optimal electricity production plan in a long time horizon. In this paper, we propose an hybrid approach which combines Variable Neighborhood Search metaheuristic and mathematical programming to solve this NP-Hard problem. For each period, the economic dispatch problem which can be formulated as a convex programming problem is solved by the Lambda iteration method. Extensive computational experiments are performed on well-known test instances from literature. The proposed method successfully solved both small and large scale problems and offers the best results for the problem compared to the well-known metaheuristics used for solving it.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
