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Optimal Placement of Wind Turbines in Wind Farm Layout Using Particle Swarm Optimization

机译:使用粒子群优化的风电场布局中风力涡轮机的最佳放置

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摘要

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.
机译:风力涡轮机的一个最佳地理位置可以保证风电场的最佳总能量输出。本研究中引入了一种新的解决方案,以风电场布局(WFLO)问题的基于三步策略和粒子群优化为主要方法的优化。所提出的策略被应用于某些WFLO以产生高效率的最佳输出功率。三个案例场景被认为是制定各级非尾和尾流效应。风电场中的所需的风力涡轮机位置由粒子群优化方法来确定。经验法则,其确定所述风力涡轮机间距,彻底考虑。 MATLAB仿真结果验证了三步走的战略。此外,该结果与已有的研究工作相比,它表明,所提出的优化策略产生与最小化的目标函数总输出功率生成和效率方面更好的解决方案。三个案例研究的效率这里认为0.65%,1.95%,和1.74%分别增加。最后,仿真结果表明,该方法是在WFLO设计健壮,因为它进一步降低了目标函数。

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