Research Area:  Metaheuristic Computing
A modified cuckoo search (CS) algorithm is proposed to solve economic dispatch (ED) problems that have nonconvex, non-continuous or non-linear solution spaces considering valve-point effects, prohibited operating zones, transmission losses and ramp rate limits. Comparing with the traditional cuckoo search algorithm, we propose a self-adaptive step size and some neighbor-study strategies to enhance search performance. Moreover, an improved lambda iteration strategy is used to generate new solutions. To show the superiority of the proposed algorithm over several classic algorithms, four systems with different benchmarks are tested. The results show its efficiency to solve economic dispatch problems, especially for large-scale systems.
Keywords:  
cuckoo search
economic dispatch
nonconvex
non-continuous
non-linear
solution spaces
dispatch problems
large-scale systems.
Author(s) Name:  Jian Zhao, Shixin Liu, Mengchu Zhou, Xiwang Guo, Liang Qi
Journal name:  IEEE/CAA Journal of Automatica Sinica
Conferrence name:  
Publisher name:  IEEE
DOI:  10.1109/JAS.2018.7511138
Volume Information:  Volume: 5
Paper Link:   https://ieeexplore.ieee.org/abstract/document/8370295