Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/89884
Title: An alterable weight minimum spanning tree method for electrical collector system planning in tidal current generation farms
Authors: Ren, Zhouyang
Li, Hui
Liu, Yang
Xu, Yan
Jin, Liming
Li, Wenyuan
Wang, Wenyu
Keywords: Engineering::Electrical and electronic engineering
Electrical Collector System
Fuzzy C-means
Issue Date: 2019
Source: 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
Series/Report no.: IEEE Access
Abstract: 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.
URI: https://hdl.handle.net/10356/89884
http://hdl.handle.net/10220/49341
DOI: 10.1109/ACCESS.2019.2917601
Rights: 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.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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