基于尾流效应模型的风电场布局优化

Navya V Student, S. Ramesh, V. R., P. Raja
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引用次数: 3

摘要

风力发电场因其具有较高的清洁能源容量而受到越来越多的关注。布局优化是为了降低初始设置成本和未来的维护成本。尾迹效应是导致能量损失的主要因素之一。本文提出了在给定风电场区域内以最小风力机数量获得最大输出功率的最佳布局模型。与遗传算法(GA)和粒子群算法(PSO)等其他算法不同,该方法使用简单的距离计算和排序算法来放置涡轮机。此外,所提出的方法不局限于固定数量的涡轮机,而是在考虑尾迹效应损失的情况下产生最大功率输出的涡轮机数量。该方法单独考虑每个涡轮机,并估计其对其他风力涡轮机的影响。仿真结果说明了该算法的有效性。通过与现有文献的比较,验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of Wind Farm Layout Based on Wake Effect Modelling
Wind farm layouts have drawn more and more attention due to their high clean energy capacity. Layout optimization is done to reduce the initial setup costs and future maintenance costs. Wake effect is one of the major factors that leads to energy losses. This paper presents a model for the optimal placement of wind turbines in a given farm area to maximize the output power with a minimum number of turbines. Unlike other algorithms like genetic algorithm (GA) and PSO, the proposed method uses simple distance calculations and sorting algorithms to place the turbines. Also, the proposed method is not confined to a fixed number of turbines but generates the number of turbines that when placed give the maximum power output considering wake effect losses. This method considers each turbine individually and estimates its effect on other wind turbines. Simulation results are given to depict the proposed algorithm. The method has been validated by comparisons with existing literature.
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