Advanced Control Strategies for Resilient Voltage and Frequency Regulation in Smart Grids

Rahul Kumar Jha, Birendra Kumar Shah, Amit Patel
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Abstract

This study discusses advanced control strategies for voltage and frequency regulation in smart grids, particularly in the integration of renewable energy sources and electrification. These strategies, including Model Predictive Control (MPC), adaptive control, optimal control, robust control, and distributed control, aim to optimize control actions while adhering to system constraints. Case studies show their effectiveness in high photovoltaic penetration, wind power integration, and microgrid operation. However, challenges persist, such as managing uncertainties and coordinating multiple controllers in decentralized power systems. The study acknowledges ongoing research and development in this field, emphasizing the potential for enhancing voltage and frequency regulation in smart grids.
智能电网中弹性电压和频率调节的先进控制策略
本研究讨论了智能电网中电压和频率调节的先进控制策略,特别是在整合可再生能源和电气化方面。这些策略包括模型预测控制(MPC)、自适应控制、最优控制、鲁棒控制和分布式控制,旨在优化控制行动,同时遵守系统约束条件。案例研究表明,它们在高光伏渗透率、风力发电集成和微电网运行方面非常有效。然而,挑战依然存在,例如在分散式电力系统中管理不确定性和协调多个控制器。本研究肯定了这一领域正在进行的研究和开发,强调了在智能电网中加强电压和频率调节的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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