Abstract
With the large-scale deployment of renewable energy and the transformation of energy systems towards decentralization and distribution, distributed energy systems and microgrid management have become crucial components of modern energy networks. The rapid development of big data technologies has provided new perspectives and technical support for optimizing Distributed Energy Resources and microgrid management, particularly showing great potential in enhancing system stability and adaptability. This paper provides a systematic review of the current applications and cutting-edge progress of big data in distributed energy optimization and microgrid management. It begins with an overview of the basic principles and system architecture of distributed energy and microgrids, highlighting current research hotspots and challenges. The paper then delves into big data-based energy resource optimization strategies, including load forecasting, resource scheduling, and distributed control technologies. It also analyzes big data-driven microgrid management technologies, focusing on areas such as real-time data analysis, predictive maintenance, adaptive control, and fault diagnosis. Furthermore, it explores the integration of artificial intelligence technologies, discussing the design of intelligent energy management systems and the prospects of deep learning in optimizing energy distribution. Typical case studies are presented to showcase the successful application of big data technologies in real-world distributed energy systems and microgrids, with an evaluation of their adaptability in various application scenarios. Finally, the paper looks ahead to the development directions of big data and artificial intelligence in future energy systems, analyzing the challenges and potential solutions for promoting current technologies. This paper aims to provide researchers and engineers in distributed energy and microgrids with a systematic theoretical framework and practical guidance to help build more efficient, stable, and intelligent energy systems.
