Adaptive range composite differential evolution for fast optimal reactive power dispatch

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...

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Main Authors: Niu, Ming, Xu, Ning Zhou, Dong, He Nan, Ge, Yang Yang, Liu, Yi Tao, Ngin, Hoon Tong
Other Authors: Experimental Power Grid Centre
Format: Article
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/146655
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1466552022-07-22T06:40:34Z Adaptive range composite differential evolution for fast optimal reactive power dispatch Niu, Ming Xu, Ning Zhou Dong, He Nan Ge, Yang Yang Liu, Yi Tao Ngin, Hoon Tong Experimental Power Grid Centre Energy Research Institute @ NTU (ERI@N) Engineering::Electrical and electronic engineering Control Parameter Adaptation Differential Evolution 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. Energy Market Authority (EMA) Published version This work was supported in part by the National Key Research and Development Program of China under Grant 2019YFB1505400, and inpart by the Energy Market Authority and National Science Foundation Singapore under Grant NRF2017EWT-EP003-038. 2021-03-04T06:03:54Z 2021-03-04T06:03:54Z 2021 Journal Article 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 2169-3536 https://hdl.handle.net/10356/146655 10.1109/ACCESS.2021.3053640 2-s2.0-85100509906 9 20117 20126 en NRF2017EWT-EP003-038 IEEE Access © 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. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Control Parameter Adaptation
Differential Evolution
spellingShingle Engineering::Electrical and electronic engineering
Control Parameter Adaptation
Differential Evolution
Niu, Ming
Xu, Ning Zhou
Dong, He Nan
Ge, Yang Yang
Liu, Yi Tao
Ngin, Hoon Tong
Adaptive range composite differential evolution for fast optimal reactive power dispatch
description 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.
author2 Experimental Power Grid Centre
author_facet Experimental Power Grid Centre
Niu, Ming
Xu, Ning Zhou
Dong, He Nan
Ge, Yang Yang
Liu, Yi Tao
Ngin, Hoon Tong
format Article
author Niu, Ming
Xu, Ning Zhou
Dong, He Nan
Ge, Yang Yang
Liu, Yi Tao
Ngin, Hoon Tong
author_sort Niu, Ming
title Adaptive range composite differential evolution for fast optimal reactive power dispatch
title_short Adaptive range composite differential evolution for fast optimal reactive power dispatch
title_full Adaptive range composite differential evolution for fast optimal reactive power dispatch
title_fullStr Adaptive range composite differential evolution for fast optimal reactive power dispatch
title_full_unstemmed Adaptive range composite differential evolution for fast optimal reactive power dispatch
title_sort adaptive range composite differential evolution for fast optimal reactive power dispatch
publishDate 2021
url https://hdl.handle.net/10356/146655
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