An Alterable Weight Minimum Spanning Tree Method for Electrical Collector System Planning in Tidal Current Generation Farms
An Alterable Weight Minimum Spanning Tree Method for Electrical Collector System Planning in Tidal Current Generation Farms
复制标题
潮汐发电场集电系统规划的变权最小生成树法
DOI：
10.1109/access.2019.2917601
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发表时间：
2019
期刊：
影响因子：
3.9
通讯作者：
Wang Wenyu
中科院分区：
文献类型：
--
作者：
Ren Zhouyang;Li Hui;Liu Yang;Xu Yan;Jin Liming;Li Wenyuan;Wang Wenyu
提出了一种基于变权最小生成树（AW-MST）的潮流发电场集电系统经济规划方法。首先，提出了一种基于扇区划分的模糊C均值聚类算法。为了减轻计算负担，改进的FCM算法将TCGF中的潮流水轮机（TCT）划分为若干扇区。同时，还可以避免海底电缆的跨区域穿越和过载。其次，建立了一个充分考虑潮流流速特性和ECS投资及运行费用的ECS规划模型。由于常用的最小生成树算法不能考虑可变因素，因此在AW-MST中使用可变权重来优化可变因素，包括功率损耗和电缆类型。最后，两个不同的TCGF和测量TCV数据集收集从北奥克尼，苏格兰，被用来验证所提出的方法的有效性和适应性。
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.
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DOI：
10.1109/picc.2018.8384743
发表时间：
2018
期刊：
2018 International Conference on Power, Instrumentation, Control and Computing (PICC)
影响因子：
--
作者：
Ramu Srikakulapu;U. Vinatha
通讯作者：
Ramu Srikakulapu;U. Vinatha
考虑损耗最小化的全尺寸变流器风电场无功优化调度
影响因子：
8.7
作者：
王妮;李坚;胡维昊;黄琦
通讯作者：
黄琦
DOI：
10.1002/9780470172254
发表时间：
1997
期刊：
--
影响因子：
--
作者：
M. Gen;Runwei Cheng
通讯作者：
M. Gen;Runwei Cheng
影响因子：
4.4
作者：
F. Gonzalez-Longatt;P. Wall;P. Regulski;V. Terzija
通讯作者：
F. Gonzalez-Longatt;P. Wall;P. Regulski;V. Terzija
影响因子：
8.8
作者：
Ouahid Dahmani;S. Bourguet;M. Machmoum;P. Guerin;P. Rhein;L. Josse
通讯作者：
Ouahid Dahmani;S. Bourguet;M. Machmoum;P. Guerin;P. Rhein;L. Josse