Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

Optimal Placement of Wind Turbines in Wind Farm Layout Using Particle Swarm Optimization
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College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing 210008, China

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    Abstract:

    An optimal geographical location of wind turbines can ensure the optimum total energy output of a wind farm. This study introduces a new solution to the optimization of wind farm layout (WFLO) problem based on a three-step strategy and particle swarm optimization as the main method. The proposed strategy is applied to a certain WFLO to generate highly efficient optimal output power. Three case scenarios are considered to formulate the non-wake and wake effects at various levels. The required wind turbine positions within the wind farm are determined by the particle swarm optimization method. The rule of thumb, which determines the wind turbine spacing, is thoroughly considered. The MATLAB simulation results verify the proposed three-step strategy. Moreover, the results are compared with those of existing research works, and it shows that the proposed optimization strategy yields a better solution in terms of total output power generation and efficiency with a minimized objective function. The efficiencies of the three case studies considered herein increase by 0.65%, 1.95%, and 1.74%,respectively. Finally, the simulation results indicate that the proposed method is robust in WFLO design because it further minimizes the objective function.

    图1 Schematic diagram of wake effect model.Fig.1
    图2 Diagram of regular wind farm.Fig.2
    图3 Output power curve for WT.Fig.3
    图5 Flowchart of PSO for WFLO.Fig.5
    图6 Results of case study 1. (a) WFLO of the proposed strategy. (b) WFLO of [12]. (c) WFLO of [11].Fig.6
    图7 Output power of WTs at various positions.Fig.7
    图8 Comparison of optimized objective functions of WFLO.Fig.8
    图9 Results of case study 2. (a) WFLO of the proposed study. (b) WFLO of [9]. (c) WFLO of [21].Fig.9
    图10 Results of case study 3. (a) WFLO of the proposed strategy. (b) WFLO of [35]. (c) WFLO of [9].Fig.10
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History
  • Received:November 10,2019
  • Online: March 22,2021