A Coordinated Planning Method for Micrositing of Tidal Current Turbines and Collector System Optimization in Tidal Current Farms

被引:32
作者
Ren, Zhouyang [1 ]
Wang, Yuanmeng [1 ]
Li, Hui [1 ]
Liu, Xuan [1 ,2 ]
Wen, Yunfeng [3 ]
Li, Wenyuan [1 ]
机构
[1] Chongqing Univ, State Key Lab Power Transmiss Equipment & Syst Se, Chongqing 400044, Peoples R China
[2] Hunan Univ, Dept Elect & Informat Engn, Changsha 410082, Hunan, Peoples R China
[3] Hunan Univ, Sch Elect & Informat Engn, Changsha 410082, Hunan, Peoples R China
基金
中国国家自然科学基金;
关键词
Bi-level programming; tidal current generation; tidal current farm planning; micro-siting of tidal current turbines; ARRAY LAYOUTS; WIND FARM; DESIGN;
D O I
10.1109/TPWRS.2018.2865310
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper proposes a bilevel programming model for the planning of tidal current farms (TCFs). The micrositing strategy of tidal current turbines (TCTs) and the collector system planning scheme are coordinated to achieve a better balance of energy yields, TCF capital investment and power systems economic operation using the proposed method. The power output of the TCF is modeled considering the characteristics of tidal current velocity and wake effects. A coordinated planning model consisting of one upper level model and two lower level models is developed to maximize comprehensive profit. Not only the investment and maintenance costs of TCTs and submarine cables, but also the operation cost of the collector system and the impact of the TCF integration on the operation of power systems are all taken into account to ensure the long-term benefits of both TCF owners and power systems. An efficient solution for the proposed planning model is developed by combining a genetic algorithm with a mixed integer programming. The effectiveness and adaptability of the proposed method are demonstrated using the measured data of tidal current velocity with distinct characteristics and the IEEE 30- and 118-bus test systems.
引用
收藏
页码:292 / 302
页数:11
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