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Applied energy v.189, 2017년, pp.271 - 282   SCI SCIE
본 등재정보는 저널의 등재정보를 참고하여 보여주는 베타서비스로 정확한 논문의 등재여부는 등재기관에 확인하시기 바랍니다.

Combined optimization for offshore wind turbine micro siting

Hou, Peng (Corresponding author. ) ; Hu, Weihao ; Soltani, Mohsen ; Chen, Cong ; Chen, Zhe ;
  • 초록  

    Abstract In order to minimize the wake loss, wind turbines (WT) should be separated with large intervening spaces. However, this will incur an increase in the capital expenditure on electrical systems and even in the operation and maintenance costs. In order to realize a cost-effective wind farm, an integrated optimization method in which the positions of the WTs and offshore substations (OS) and the cable connection configuration are optimized simultaneously is proposed in this paper. Since the optimization variables are both continuous and discrete, the mixed integer particle swarm optimization (MIPSO) algorithm is adopted to minimize the levelized production cost (LPC) of the wind farm. Simulation results are given for validating the proposed approach and comparison is made with results obtained using other methods. It is found that the proposed method can reduce the levelized production cost (LPC) by 5.00% and increase the energy yields by 3.82% compared with the Norwegian centre for offshore wind energy (NORCOWE) reference wind farm layout. This is better than the traditional method which only achieves a 1.45% LPC reduction although it increases the energy yields by 3.95%. Highlights The uncrossed cable connection layout (UCCL) was found by heuristic method. The UCCL was optimized simultaneously with the wind turbines’ positions. The proposed method outperformed than traditional method by getting a lower LPC. The optimized layout reduced LPC by 5.00% than reference wind farm.


  • 주제어

    Mixed integer particle swarm optimization (MIPSO) .   Wind farm layout optimization .   Offshore substation (OS) locating .   Cable connection configuration optimization .   Levelized production cost (LPC).  

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