ABSTRACT
Cuckoo search algorithm (CSA) is an effective and highly reliable swarm intelligence basedoptimization approach. It is a technique of determining the most efficient, low cost and reliable operation of a power system by dispatching the available electricity generation resources to supply the load on the system. This paper presents a comprehensive review of CSA application in Economic Load Dispatch (ELD) problem. This review will assist power system engineerswith a view to enhancing the optimal operation of available thermal plants in electrical power systems.
Keywords: Cuckoo search algorithm; swarm intelligence; economic load dispatch; electrical power system; thermal plants; optimization approach
Adeniran, J. (2019). Cuckoo Search Algorithm Optimization Approaches for Solving Economic Load Dispatch: A Review. Afribary. Retrieved from https://tracking.afribary.com/works/9794-article-text-17835-2-10-20190313
Adeniran, John "Cuckoo Search Algorithm Optimization Approaches for Solving Economic Load Dispatch: A Review" Afribary. Afribary, 14 Jul. 2019, https://tracking.afribary.com/works/9794-article-text-17835-2-10-20190313. Accessed 24 Nov. 2024.
Adeniran, John . "Cuckoo Search Algorithm Optimization Approaches for Solving Economic Load Dispatch: A Review". Afribary, Afribary, 14 Jul. 2019. Web. 24 Nov. 2024. < https://tracking.afribary.com/works/9794-article-text-17835-2-10-20190313 >.
Adeniran, John . "Cuckoo Search Algorithm Optimization Approaches for Solving Economic Load Dispatch: A Review" Afribary (2019). Accessed November 24, 2024. https://tracking.afribary.com/works/9794-article-text-17835-2-10-20190313