A Robust-Adaptive Controllers Designed for Grid-Forming Converters Ensuring Various Low-Inertia Microgrid Conditions

IF 7 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Smart Cities Pub Date : 2023-10-23 DOI:10.3390/smartcities6050132
Watcharakorn Pinthurat, Prayad Kongsuk, Boonruang Marungsri
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Abstract

As the integration of renewable energy sources (RESs) and distributed generations (DGs) increases, the need for stable and reliable operation of microgrids (MGs) becomes crucial. However, the inherent low inertia of such systems poses intricate control challenges that necessitate innovative solutions. To tackle these issues, this paper presents the development of robust-adaptive controllers tailored specifically for grid-forming (GFM) converters. The proposed adaptive-robust controllers are designed to accommodate the diverse range of scenarios encountered in low-inertia MGs. The proposed approach applies both the robust control techniques and adaptive control strategies, thereby offering an effective means to ensure stable and seamless converter performance under varying operating conditions. The efficacy of the introduced adaptive-robust controllers for GFM converters is validated within a low-inertia MG, which is characterized by substantial penetration of converter-interfaced resources. The validation also encompasses diverse MG operational scenarios and conditions.
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低惯量微电网条件下成网变流器鲁棒自适应控制器设计
随着可再生能源(RESs)和分布式发电(dg)并网的发展,对微电网(mg)稳定可靠运行的需求变得至关重要。然而,这种系统固有的低惯性带来了复杂的控制挑战,需要创新的解决方案。为了解决这些问题,本文提出了针对网格形成(GFM)转换器量身定制的鲁棒自适应控制器的开发。所提出的自适应鲁棒控制器被设计用于适应低惯量mg中遇到的各种场景。该方法结合鲁棒控制技术和自适应控制策略,为保证变流器在不同工况下的稳定无缝性能提供了有效手段。在低惯量MG中验证了所引入的自适应鲁棒控制器对GFM变换器的有效性,其特征是变换器接口资源的大量渗透。验证还包括不同的MG操作场景和条件。
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来源期刊
Smart Cities
Smart Cities Multiple-
CiteScore
11.20
自引率
6.20%
发文量
0
审稿时长
11 weeks
期刊介绍: Smart Cities (ISSN 2624-6511) provides an advanced forum for the dissemination of information on the science and technology of smart cities, publishing reviews, regular research papers (articles) and communications in all areas of research concerning smart cities. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible, with no restriction on the maximum length of the papers published so that all experimental results can be reproduced.
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