基于斑点鬣狗优化的电动汽车独立微电网频率控制PI-PD控制器

V. K. Neeli, M. Raghavendra, Sk. Chan Basha, K. Chowdary, N. Sameera
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引用次数: 0

摘要

在目前的工作中,通过考虑基于斑点鬣狗优化器的级联PI-PD控制器,在独立交流微电网(μG)中进行频率调节的初步方法之一。这些μGrid可以通过合并一些孤立的资源,如可再生能源、风能和太阳能电辐射来形成。这些源之间的差异会影响系统频率,因此自动调频系统的频率控制主题一直是研究人员面临的难题。尽管存在这些问题,但本文将a级联pi - pd控制器作为独立μ网格的二次频率控制器,并使用一种新颖的斑点鬣狗优化器(spot Hyena Optimizer, SHO)对控制器参数进行调谐和获取。在μGrid测试系统上对所提出的级联控制器进行了测试,并在考虑不同负载变化的情况下对其鲁棒性进行了评估。为了证明级联PI- pd控制器的有效性,将其与一些更传统的控制器如比例积分(PI)和比例积分导数(PID)控制器进行了比较,并验证了斑点鬣狗优化器的有效性,将SHO获得的结果与其他智能群技术进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spotted Hyena Optimized PI-PD Controller for Frequency control of Standalone μ-Grid Incorporating Electric Vehicles
In this current work, one of the maiden approaches was made frequency regulation in a Standalone AC Microgrid (μG) by considering Spotted Hyena optimizer based Cascaded PI-PD controller. These μGrid can be formed by merging some the isolated such as renewable energy resources, wind power and also solar electricity irradiations. Discrepancy any these-sources will influence system frequency and hence-frequency control-theme in MG was challenging issue for all-the researchers. Inspite of these struggling this current paper consider a-Cascaded PI-PD-controllers as secondary frequency controller for the-Standalone μGrid, and a novel Spotted Hyena Optimizer (SHO) is used to tuning and obtaining the controller parameters. The proposed cascaded controllers inspected on a μGrid test system, and robustness is assessed considering -dissimilar variations in load. In order to manifest the effectiveness of the Cascaded PI-PD controller, it-is being compared to some more conventional controller as Proportional Integral (PI), and Proportional Integral and-Derivative (PID) controllers and also to verify the-potency of the-Spotted Hyena optimizer, the-results obtained-by the SHO are been-compared with other intelligence swarm-techniques.
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