Cuckoo Search Algorithm Optimization Approaches for Solving Economic Load Dispatch: A Review

Ganiyu Adedayo Ajenikoko *

Department of Electronic and Electrical Engineering, Ladoke Akintola University of Technology, P.M.B. 4000, Ogbomoso, Nigeria

Olusoji Simeon Olaniyan

Department of Electronic and Electrical Engineering, Ladoke Akintola University of Technology, P.M.B. 4000, Ogbomoso, Nigeria

John Oludayo Adeniran

Department of Electronic and Electrical Engineering, Ladoke Akintola University of Technology, P.M.B. 4000, Ogbomoso, Nigeria

*Author to whom correspondence should be addressed.


Abstract

Cuckoo search algorithm (CSA) is an effective and highly reliable swarm intelligence based optimization 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 engineers with 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


How to Cite

Adedayo Ajenikoko, Ganiyu, Olusoji Simeon Olaniyan, and John Oludayo Adeniran. 2018. “Cuckoo Search Algorithm Optimization Approaches for Solving Economic Load Dispatch: A Review”. Journal of Energy Research and Reviews 1 (2):1-15. https://doi.org/10.9734/jenrr/2018/v1i29794.

Downloads

Download data is not yet available.