A comprehensive review of microgrid control methods: Focus on AI, optimization, and predictive techniques

IF 4 3区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Tariq Limouni , Reda Yaagoubi , Khalid Bouziane , Khalid Guissi , El Houssain Baali
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引用次数: 0

Abstract

With the depletion of fossil fuels, the integration of renewable energy sources as distributed energy resources has become mandatory. However, the uncertainty and intermittent nature of these sources introduce significant challenges to their integration into microgrids. Effective control systems are essential for ensuring smooth integration, managing energy storage systems, and maintaining microgrid safety. In this study, a review of recent control methods applied in microgrid management was conducted with a focus on AI, optimization, and predictive techniques. These advanced and intelligent control methods were chosen for their potential to address current challenges. This study examined the benefits, limitations, and areas for future improvement. In addition, it explores the potential and the challenges of hybrid control techniques, which are less discussed in the literature, to further enhance control system efficiency and performance.
微电网控制方法综述:重点关注人工智能、优化和预测技术
随着化石燃料的枯竭,可再生能源作为分布式能源的整合已成为必然。然而,这些能源的不确定性和间歇性为其融入微电网带来了重大挑战。有效的控制系统对于确保顺利集成、管理储能系统和维护微电网安全至关重要。在这项研究中,回顾了最近应用于微电网管理的控制方法,重点是人工智能、优化和预测技术。选择这些先进的智能控制方法是因为它们具有解决当前挑战的潜力。这项研究检查了益处、限制和未来改进的领域。此外,它还探讨了文献中较少讨论的混合控制技术的潜力和挑战,以进一步提高控制系统的效率和性能。
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来源期刊
Computers & Electrical Engineering
Computers & Electrical Engineering 工程技术-工程:电子与电气
CiteScore
9.20
自引率
7.00%
发文量
661
审稿时长
47 days
期刊介绍: The impact of computers has nowhere been more revolutionary than in electrical engineering. The design, analysis, and operation of electrical and electronic systems are now dominated by computers, a transformation that has been motivated by the natural ease of interface between computers and electrical systems, and the promise of spectacular improvements in speed and efficiency. Published since 1973, Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and electronic systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like signal and image processing, high-performance computing, parallel processing, and communications. Special attention will be paid to papers describing innovative architectures, algorithms, and software tools.
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