Multi-objective partition planning for multi-infeed HVDC system
The close proximity and the necessity of coordination between multiple high-voltage direct currents (HVDCs) raise the issue of grid partitioning in multi-infeed HVDC systems. A multi-objective partition strategy is proposed in this paper. Several types of relationships to be coordinated and compleme...
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KeAi Communications Co., Ltd.
2021-02-01
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doaj-d946b7c9945c415dacdf55488e19d81c2021-04-10T04:15:46ZengKeAi Communications Co., Ltd.Global Energy Interconnection2096-51172021-02-01418190Multi-objective partition planning for multi-infeed HVDC systemZhao Yu0Shuanbao Niu1Chao Huo2Ning Chen3Kaige Song4Xiaohui Wang5Yu Bai6State Grid Corporation of China, Beijing, 100031, P. R. ChinaNorthwest Branch, State Grid Corporation of China, Xi’an, 710048, P. R. ChinaNorthwest Branch, State Grid Corporation of China, Xi’an, 710048, P. R. ChinaNational Key Laboratory of Operation and Control of Renewable Energy and Energy Storage, China Electric Power Research Institute (Nanjing), Nanjing, 210003, P. R. ChinaKey Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University, Jinan, 250061, P. R. ChinaKey Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University, Jinan, 250061, P. R. ChinaLangfang Power Supply Company, State Grid Jibei Electric Power Company Limited, Langfang 065000, P. R. ChinaThe close proximity and the necessity of coordination between multiple high-voltage direct currents (HVDCs) raise the issue of grid partitioning in multi-infeed HVDC systems. A multi-objective partition strategy is proposed in this paper. Several types of relationships to be coordinated and complemented are analyzed and formulated using quantitative indices. According to the graph theory, the HVDC partition is transformed into a graph-cut problem and solved via the spectral clustering algorithm. Finally, the proposed method is validated for a practical multi-HVDC grid, confirming its feasibility and effectiveness.http://www.sciencedirect.com/science/article/pii/S209651172100027XMulti-infeed HVDC systemGrid partitionMulti-objective planningSpectral clustering |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zhao Yu Shuanbao Niu Chao Huo Ning Chen Kaige Song Xiaohui Wang Yu Bai |
spellingShingle |
Zhao Yu Shuanbao Niu Chao Huo Ning Chen Kaige Song Xiaohui Wang Yu Bai Multi-objective partition planning for multi-infeed HVDC system Global Energy Interconnection Multi-infeed HVDC system Grid partition Multi-objective planning Spectral clustering |
author_facet |
Zhao Yu Shuanbao Niu Chao Huo Ning Chen Kaige Song Xiaohui Wang Yu Bai |
author_sort |
Zhao Yu |
title |
Multi-objective partition planning for multi-infeed HVDC system |
title_short |
Multi-objective partition planning for multi-infeed HVDC system |
title_full |
Multi-objective partition planning for multi-infeed HVDC system |
title_fullStr |
Multi-objective partition planning for multi-infeed HVDC system |
title_full_unstemmed |
Multi-objective partition planning for multi-infeed HVDC system |
title_sort |
multi-objective partition planning for multi-infeed hvdc system |
publisher |
KeAi Communications Co., Ltd. |
series |
Global Energy Interconnection |
issn |
2096-5117 |
publishDate |
2021-02-01 |
description |
The close proximity and the necessity of coordination between multiple high-voltage direct currents (HVDCs) raise the issue of grid partitioning in multi-infeed HVDC systems. A multi-objective partition strategy is proposed in this paper. Several types of relationships to be coordinated and complemented are analyzed and formulated using quantitative indices. According to the graph theory, the HVDC partition is transformed into a graph-cut problem and solved via the spectral clustering algorithm. Finally, the proposed method is validated for a practical multi-HVDC grid, confirming its feasibility and effectiveness. |
topic |
Multi-infeed HVDC system Grid partition Multi-objective planning Spectral clustering |
url |
http://www.sciencedirect.com/science/article/pii/S209651172100027X |
work_keys_str_mv |
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1721531981373636608 |