基于PI控制器集成遗传算法的风力机升压变换器性能评估

Ahmed Omar Elgharib, M. Alhasheem, R. Swief, A. Naamane
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引用次数: 1

摘要

集成遗传算法的PI控制器对风力发电机组及其整个系统的效率和性能有很大的影响。本文提出利用风力发电机组进行优化发电。一个升压转换器连接到涡轮,以获得适当的输出电压。采用最大功率点跟踪(MPPT)控制策略对升压变换器进行控制。本文讨论了三个部分:第一部分是对所研究系统的稳态性能进行了验证,所研究的系统可以产生随额定风速、风力机转子直径和风力机额定功率而变化的输出功率。二是故障发生对系统的影响。第三部分是基于遗传算法的系统效率提升,以及如何在不同的工作范围内尽可能的减少暂态来提高输出功率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wind Turbine Performance Assessment Boost Converter Based Applying PI Controller Integrating Genetic Algorithm
PI Controller integrating genetic algorithm has a great impact on the efficiency and the performance of the wind turbine applications and their whole system. This paper proposes generating the optimized power utilizing wind turbine. A boost converter is connected to the turbine in order to get the proper output voltage. The boost converter has been controlled using Maximum power point tracking (MPPT) control strategy. This paper discusses three parts: first part is the steady state performance which is validated for the studied system, the studied system can produce output power that varies depends on the rated wind speed, rotor diameter of the wind turbine, and the wind turbine generator rating. Second one is the effect of fault occurrence on the system. Third part is the efficiency enhancement based on the genetic algorithm used in such a system, and how it can improve the power output by reducing the transient state as much as possible at different operating ranges.
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