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Title: Adaptive range composite differential evolution for fast optimal reactive power dispatch
Authors: Niu, Ming
Xu, Ning Zhou
Dong, He Nan
Ge, Yang Yang
Liu, Yi Tao
Ngin, Hoon Tong
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2021
Source: Niu, M., Xu, N. Z., Dong, H. N., Ge, Y. Y., Liu, Y. T., & Ngin, H. T. (2021). Adaptive range composite differential evolution for fast optimal reactive power dispatch. IEEE Access, 9, 20117-20126. doi:10.1109/ACCESS.2021.3053640
Project: NRF2017EWT-EP003-038 
Journal: IEEE Access 
Abstract: This paper proposes a novel adaptive range composite differential evolution (ARCoDE) algorithm to efficiently and accurately solve optimal reactive power dispatch (ORPD) problem. Because of a novel adaptive range strategy for control parameters, the proposed ARCoDE possesses superior exploration and exploitation capabilities that can efficiently handle the ORPD problem involving complicated constraints and discrete and continuous variables. This has been demonstrated in case studies using the IEEE optimal power flow testbeds considering complex wind and demand scenarios. The superior performance of ARCoDE has been further validated through comparisons with several award-winning algorithms in 2014 IEEE Competition on “Application of Modern Heuristic Optimization Algorithms for Solving Optimal Power Flow Problems”, given limited iterations of in evolutionary optimization process.
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2021.3053640
Rights: © 2021 IEEE. This journal is 100% open access, which means that all content is freely available without charge to users or their institutions. All articles accepted after 12 June 2019 are published under a CC BY 4.0 license, and the author retains copyright. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, as long as proper attribution is given.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:ERI@N Journal Articles

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