Modified cuckoo search algorithm to solve economic power dispatch optimization problems
Document Type
Article
Publication Date
7-1-2018
Abstract
A modified cuckoo search (CS) algorithm is proposed to solve economic dispatch (ED) problems that have non-convex, 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.
Identifier
85048335384 (Scopus)
Publication Title
IEEE Caa Journal of Automatica Sinica
External Full Text Location
https://doi.org/10.1109/JAS.2018.7511138
e-ISSN
23299274
ISSN
23299266
First Page
794
Last Page
806
Issue
4
Volume
5
Grant
20175032
Fund Ref
National Natural Science Foundation of China
Recommended Citation
Zhao, Jian; Liu, Shixin; Zhou, Mengchu; Guo, Xiwang; and Qi, Liang, "Modified cuckoo search algorithm to solve economic power dispatch optimization problems" (2018). Faculty Publications. 8589.
https://digitalcommons.njit.edu/fac_pubs/8589
