通过先进的分数阶控制器增强自动电压调节器的稳定性

Emad A. Mohamed, M. Aly, W. Alhosaini, Emad M. Ahmed
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引用次数: 0

摘要

从传统能源向可再生能源过渡是当前能源发电系统的一个关键问题,其目的是应对气候变化和能源需求的增加。然而,这种转变给控制系统带来了额外的负担,需要在预定的范围内保持电力系统的稳定性和质量。为了应对这些挑战,本文提出了一种创新的混合分数阶(MHFO)自动电压调节器(AVR),配备了分数阶倾斜积分和带滤波器的比例导数以及带滤波器的二阶导数 FOTI-PDND2N2 控制器。这种先进的控制器结合了 (FOTI) 控制器和 (PDND2N2) 控制器的优点,前者以提高动态性能和稳态响应而著称,后者则提高了系统的鲁棒性和适应性。与传统的三参数 PID 控制器和五参数 FOPID 控制器相比,所提出的 MHFO 控制器具有九个可调参数,提供了更广泛的控制选项。此外,还制定并应用了一种使用增长优化器(GO)的最新优化方法,以同时优化调整 MHFO 控制器的参数。通过将基于 MHFO-GO 控制器的 AVR 与各种成熟的优化算法进行对比,对其性能进行了仔细研究。对比研究表明,基于 MHFO-GO 控制器的 AVR 在稳定性、鲁棒性和动态响应速度方面均优于其他 AVR 控制器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Augmenting the Stability of Automatic Voltage Regulators through Sophisticated Fractional-Order Controllers
The transition from traditional to renewable energy sources is a critical issue in current energy-generation systems, which aims to address climate change and the increased demand for energy. This shift, however, imposes additional burdens on control systems to maintain power system stability and quality within predefined limits. Addressing these challenges, this paper proposes an innovative Modified Hybrid Fractional-Order (MHFO) automatic voltage regulator (AVR) equipped with a fractional-order tilt integral and proportional derivative with a filter plus a second-order derivative with a filter FOTI-PDND2N2 controller. This advanced controller combines the benefits of a (FOTI) controller, known for enhancing dynamic performance and steady-state response, with a (PDND2N2) controller to improve system robustness and adaptability. The proposed MHFO controller stands out with its nine tunable parameters, providing more extensive control options than the conventional three-parameter PID controller and the five-parameter FOPID controller. Furthermore, a recent optimization approach using a growth optimizer (GO) has been formulated and applied to optimally adjust the MHFO controller’s parameters simultaneously. The performance of the proposed AVR based on the MHFO-GO controller is scrutinized by contrasting it with various established and developed optimization algorithms. The comparative study shows that the AVR based on the MHFO-GO controller surpasses other AVR controllers from the stability, robustness, and dynamic response speed points of view.
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