Applications of fault-tolerant control system in the design of wind turbine generation systems: A comprehensive review and future prospects

IF 7.9 Q1 ENGINEERING, MULTIDISCIPLINARY
Arslan Ahmed Amin , Muhammad Irfan , Turki Alsuwian , Saifur Rahman , Ansa Mubarak , Saba Waseem
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引用次数: 0

Abstract

Wind Turbine Generation Systems (WTGS) are widely acknowledged as a key pillar of the renewable power generation sector, while availability and efficiency are among the main issues, particularly those related to faults within systems that reduce performance and increase maintenance costs. This paper aims to provide a literature review of Fault-Tolerant Control Systems (FTCS) in WTGS, specifically addressing methods that can enhance system reliability, decrease maintenance expenses, and increase the rate of overall energy generation. The review discusses passive, active, and hybrid FTCS strategies alongside new technology like Model Predictive Control (MPC) and Adaptive Sliding Mode Control (ASMC), with active fault-tolerant control techniques showing a high level of fault detection and tolerance, especially in offshore wind turbines. Key findings highlight the effectiveness of FTCS as a real-time system for fault detection, isolation, and compensation to meet continuously varying and unpredictable conditions to maintain a stable power generation system. Emerging trends like Artificial Intelligence (AI) and hybrid fault-tolerant approaches are also outlined to show possibilities for future developments. The review also discusses the relevant research gaps and future works, such as using computational algorithms to develop novel material and implementing the utilization of digital twins to improve fault management.
容错控制系统在风力发电系统设计中的应用综述及展望
风力发电系统(WTGS)被广泛认为是可再生能源发电领域的关键支柱,而可用性和效率是主要问题之一,特别是那些与系统故障有关的问题,这些故障会降低性能并增加维护成本。本文旨在对WTGS中的容错控制系统(FTCS)进行文献综述,特别是解决可以提高系统可靠性,降低维护费用和提高整体发电量的方法。本文讨论了被动、主动和混合FTCS策略,以及模型预测控制(MPC)和自适应滑模控制(ASMC)等新技术,其中主动容错控制技术显示出高水平的故障检测和容错能力,特别是在海上风力涡轮机中。主要研究结果强调了FTCS作为故障检测、隔离和补偿的实时系统的有效性,以满足不断变化和不可预测的条件,以保持发电系统的稳定。还概述了人工智能(AI)和混合容错方法等新兴趋势,以展示未来发展的可能性。本文还讨论了相关的研究空白和未来的工作,例如使用计算算法开发新材料和实施数字双胞胎的利用来改进故障管理。
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
Results in Engineering
Results in Engineering Engineering-Engineering (all)
CiteScore
5.80
自引率
34.00%
发文量
441
审稿时长
47 days
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