A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
A novel technique for the optimal design of offshore wind farm electrical layout
The design of electrical layout is a key element in the offshore wind farm planning. We present a novel electrical layout design optimization method for offshore wind farms in this paper. The proposed method can be used to generate the network model based on fuzzy c-means (FCM) and binary integer programming (BIP) methods. It can automatically allocate wind turbines to the nearest substations and obtain the topology structure of cables utilized to connect wind turbines or turbine and substation. The objective of this optimization is to minimize the investment costs of cable connection and the transmission power losses. The results of case study clearly demonstrated the feasibility of the proposed method and showed that it can be used as a reliable tool for electrical layout design of offshore wind farms.
A novel technique for the optimal design of offshore wind farm electrical layout
The design of electrical layout is a key element in the offshore wind farm planning. We present a novel electrical layout design optimization method for offshore wind farms in this paper. The proposed method can be used to generate the network model based on fuzzy c-means (FCM) and binary integer programming (BIP) methods. It can automatically allocate wind turbines to the nearest substations and obtain the topology structure of cables utilized to connect wind turbines or turbine and substation. The objective of this optimization is to minimize the investment costs of cable connection and the transmission power losses. The results of case study clearly demonstrated the feasibility of the proposed method and showed that it can be used as a reliable tool for electrical layout design of offshore wind farms.
A novel technique for the optimal design of offshore wind farm electrical layout
Yingying Chen (author) / Zhaoyang Dong (author) / Ke Meng (author) / Fengji Luo (author) / Weifeng Yao (author) / Jing Qiu (author)
2013
Article (Journal)
Electronic Resource
Unknown
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