A novel virtual inertia control strategy for frequency regulation of islanded microgrid using two-layer multiple model predictive control

IF 11 1区工程技术 Q1 ENERGY & FUELS

Applied Energy Pub Date : 2023-08-01 DOI:10.1016/j.apenergy.2023.121233

Soroush Oshnoei , Mohammad Reza Aghamohammadi , Siavash Oshnoei , Subham Sahoo , Arman Fathollahi , Mohammad Hasan Khooban

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引用次数: 6

Abstract

This paper investigates the frequency performance problem of microgrids (MGs) integrated with renewable employing an energy storage system (ESS) equipped with virtual inertial control (VIC) support. To tackle the uncertainties related to the system operation, a two-layer multiple model predictive control (TLMMPC) method, consisting of nominal and ancillary MMPCs, is proposed to submit effective control signals to the ESS for improving system frequency performance. The ancillary MMPC generates the control commands for the VIC-based ESS utilizing the signals provided by the nominal MMPC and the frequency deviation signal of the actual system considering uncertainties and operating constraints. The control commands are generated to attain the minimum value of frequency response error with the least control endeavor while considering various operational and physical limitations. The TLMMPC method has the capability to work with different state of charge (SoC) levels to obtain the desired SoC and highest efficiency from the ESS and preserve the ESS’s longevity. The dynamic performance of the proposed TLMMPC technique is investigated on an islanded MG and compared to model predictive control (MPC), fractional-order MPC, and tilt-integral-derivative controllers under different scenarios. The results validate that the proposed TLMMPC technique significantly improves the system frequency response from viewpoints of settling time, peak overshoot, and undershoot and obtains the most efficient ESS compared to the other methods.

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一种基于双层多模型预测控制的孤岛微电网频率调节虚拟惯性控制策略

本文研究了采用虚拟惯性控制(VIC)支持的储能系统(ESS)集成可再生能源微电网的频率性能问题。针对系统运行中的不确定性，提出了一种由标称和辅助mmpc组成的双层多模型预测控制(TLMMPC)方法，向ESS提交有效的控制信号，以改善系统的频率性能。辅助MMPC利用标称MMPC提供的信号和考虑不确定性和运行约束的实际系统的频率偏差信号，为基于vic的ESS生成控制命令。控制命令的生成是为了在考虑各种操作和物理限制的情况下，以最小的控制努力获得频率响应误差的最小值。TLMMPC方法能够在不同的荷电状态(SoC)水平下工作，以获得所需的SoC和最高的效率，并保持ESS的使用寿命。在孤岛MG上研究了TLMMPC技术的动态性能，并在不同场景下与模型预测控制(MPC)、分数阶MPC和倾斜积分微分控制器进行了比较。结果表明，与其他方法相比，TLMMPC技术从稳定时间、峰值超调和欠调三个方面显著改善了系统的频率响应，获得了最有效的ESS。

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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来源期刊

Applied Energy 工程技术-工程：化工

CiteScore

21.20

自引率

10.70%

发文量

1830

审稿时长

41 days

期刊介绍： Applied Energy serves as a platform for sharing innovations, research, development, and demonstrations in energy conversion, conservation, and sustainable energy systems. The journal covers topics such as optimal energy resource use, environmental pollutant mitigation, and energy process analysis. It welcomes original papers, review articles, technical notes, and letters to the editor. Authors are encouraged to submit manuscripts that bridge the gap between research, development, and implementation. The journal addresses a wide spectrum of topics, including fossil and renewable energy technologies, energy economics, and environmental impacts. Applied Energy also explores modeling and forecasting, conservation strategies, and the social and economic implications of energy policies, including climate change mitigation. It is complemented by the open-access journal Advances in Applied Energy.