AI助力微电网能源管理，提升效率与安全性
An Overview of the Prospects and Challenges of Using Artificial Intelligence for Energy Management Systems in Microgrids
- 结合AI优化微电网能量管理系统，提升预测与控制能力
- 实现可再生能源调度、成本控制与电力流优化
- 适合关注智能电网、能源系统研究者阅读
微电网是实现可持续与高效能源未来的关键方案。尽管具备诸多优势，微电网在可再生能源供需预测、抗网络攻击、运行成本控制、功率流动优化及能源管理系统（EMS）性能调节方面仍面临挑战。解决这些管理难题对推动微电网应用和整合可再生能源至关重要。人工智能（AI）近年来展现出巨大潜力，能有效优化微电网的能源管理，提供高效可靠的解决方案。本文通过分析基于AI的微电网能源管理系统在实现特定技术与经济目标方面的适用性与效率，突出其综合优势。同时指出未来研究方向：自愈微电网、与区块链技术融合、物联网集成、可解释性、数据隐私、可扩展性，以及生成式AI在下一代AI驱动能源管理系统中的前景。
原文摘要 · Abstract (English)
Microgrids have emerged as a pivotal solution in the quest for a sustainable and energy-efficient future. While microgrids offer numerous advantages, they are also prone to issues related to reliably forecasting renewable energy demand and production, protecting against cyberattacks, controlling operational costs, optimizing power flow, and regulating the performance of energy management systems (EMS). Tackling these energy management challenges is essential to facilitate microgrid applications and seamlessly incorporate renewable energy resources. Artificial intelligence (AI) has recently demonstrated immense potential for optimizing energy management in microgrids, providing efficient and reliable solutions. This paper highlights the combined benefits of enabling AI-based methodologies in the energy management systems of microgrids by examining the applicability and efficiency of AI-based EMS in achieving specific technical and economic objectives. The paper also points out several future research directions that promise to spearhead AI-driven EMS, namely the development of self-healing microgrids, integration with blockchain technology, use of Internet of things (IoT), and addressing interpretability, data privacy, scalability, and the prospects to generative AI in the context of future AI-based EMS.
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