An alterable weight minimum spanning tree method for electrical collector system planning in tidal current generation farms
This paper proposes an alterable weight minimum spanning tree (AW-MST) method to plan electrical collector systems (ECSs) in tidal current generation farms (TCGFs) toward economic objectives. First, a sector-division-based fuzzy c-means (FCM) grouping algorithm is proposed. The tidal current turbine...
| Main Authors: | , , , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2019
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/89884 http://hdl.handle.net/10220/49341 |
| _version_ | 1826124188857925632 |
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| author | Ren, Zhouyang Li, Hui Liu, Yang Xu, Yan Jin, Liming Li, Wenyuan Wang, Wenyu |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Ren, Zhouyang Li, Hui Liu, Yang Xu, Yan Jin, Liming Li, Wenyuan Wang, Wenyu |
| author_sort | Ren, Zhouyang |
| collection | NTU |
| description | This paper proposes an alterable weight minimum spanning tree (AW-MST) method to plan electrical collector systems (ECSs) in tidal current generation farms (TCGFs) toward economic objectives. First, a sector-division-based fuzzy c-means (FCM) grouping algorithm is proposed. The tidal current turbines (TCTs) in the TCGF are divided into several sectors by the improved FCM algorithm to relieve the computational burden. Meanwhile, trans-region crossings and overloads of submarine cables can be simultaneously avoided. Second, an ECS planning model is established which fully considers the tidal current velocity (TCV) characteristics and ECS investment and operating costs. Since the variable factors cannot be considered by the common minimum spanning tree algorithms, alterable weights are used in the AW-MST to optimize the variable factors, including power losses and cable types. Finally, the two different TCGFs and the measured TCV datasets collected from North of Orkney, Scotland, were used to verify the effectiveness and adaptability of the proposed method. |
| first_indexed | 2024-10-01T06:16:35Z |
| format | Journal Article |
| id | ntu-10356/89884 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:16:35Z |
| publishDate | 2019 |
| record_format | dspace |
| spelling | ntu-10356/898842020-03-07T14:02:37Z An alterable weight minimum spanning tree method for electrical collector system planning in tidal current generation farms Ren, Zhouyang Li, Hui Liu, Yang Xu, Yan Jin, Liming Li, Wenyuan Wang, Wenyu School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Electrical Collector System Fuzzy C-means This paper proposes an alterable weight minimum spanning tree (AW-MST) method to plan electrical collector systems (ECSs) in tidal current generation farms (TCGFs) toward economic objectives. First, a sector-division-based fuzzy c-means (FCM) grouping algorithm is proposed. The tidal current turbines (TCTs) in the TCGF are divided into several sectors by the improved FCM algorithm to relieve the computational burden. Meanwhile, trans-region crossings and overloads of submarine cables can be simultaneously avoided. Second, an ECS planning model is established which fully considers the tidal current velocity (TCV) characteristics and ECS investment and operating costs. Since the variable factors cannot be considered by the common minimum spanning tree algorithms, alterable weights are used in the AW-MST to optimize the variable factors, including power losses and cable types. Finally, the two different TCGFs and the measured TCV datasets collected from North of Orkney, Scotland, were used to verify the effectiveness and adaptability of the proposed method. Published version 2019-07-15T04:05:45Z 2019-12-06T17:35:47Z 2019-07-15T04:05:45Z 2019-12-06T17:35:47Z 2019 Journal Article Ren, Z., Li, H., Liu, Y., Xu, Y., Jin, L., Li, W., & Wang, W. (2019). An alterable weight minimum spanning tree method for electrical collector system planning in tidal current generation farms. IEEE Access, 7, 71585-71592. doi:10.1109/ACCESS.2019.2917601 https://hdl.handle.net/10356/89884 http://hdl.handle.net/10220/49341 10.1109/ACCESS.2019.2917601 en IEEE Access Articles accepted before 12 June 2019 were published under a CC BY 3.0 or the IEEE Open Access Publishing Agreement license. Questions about copyright policies or reuse rights may be directed to the IEEE Intellectual Property Rights Office at +1-732-562-3966 or copyrights@ieee.org. 8 p. application/pdf |
| spellingShingle | Engineering::Electrical and electronic engineering Electrical Collector System Fuzzy C-means Ren, Zhouyang Li, Hui Liu, Yang Xu, Yan Jin, Liming Li, Wenyuan Wang, Wenyu An alterable weight minimum spanning tree method for electrical collector system planning in tidal current generation farms |
| title | An alterable weight minimum spanning tree method for electrical collector system planning in tidal current generation farms |
| title_full | An alterable weight minimum spanning tree method for electrical collector system planning in tidal current generation farms |
| title_fullStr | An alterable weight minimum spanning tree method for electrical collector system planning in tidal current generation farms |
| title_full_unstemmed | An alterable weight minimum spanning tree method for electrical collector system planning in tidal current generation farms |
| title_short | An alterable weight minimum spanning tree method for electrical collector system planning in tidal current generation farms |
| title_sort | alterable weight minimum spanning tree method for electrical collector system planning in tidal current generation farms |
| topic | Engineering::Electrical and electronic engineering Electrical Collector System Fuzzy C-means |
| url | https://hdl.handle.net/10356/89884 http://hdl.handle.net/10220/49341 |
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