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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:风力涡轮机的最佳地理位置可以确保风电场的最佳总能量输出。本研究介绍了一种基于三步策略和粒子群优化作为主要方法的风电场布局(WFLO)问题的新方法。该策略适用于某种WFLO以产生高效的最佳输出功率。三个案例方案被认为是在各个层面制定非唤醒和唤醒效果。风电场内所需的风力涡轮机位置由粒子群优化方法确定。确定拇指的规则,用于彻底考虑风力涡轮机间距。 MATLAB仿真结果验证了提出的三步策略。此外,结果与现有研究工作的结果进行了比较,表明所提出的优化策略在总输出发电和具有最小化目标函数方面产生更好的解决方案。本文认为三种案例研究的效率分别增加0.65%,1.95%和1.74%。最后,仿真结果表明,该方法在WFLO设计中是强大的,因为它进一步最小化了目标函数。

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