Power Generation Technology ›› 2022, Vol. 43 ›› Issue (5): 707-717.DOI: 10.12096/j.2096-4528.pgt.22109

• New Energy Storage System • Previous Articles     Next Articles

Artificial Intelligence Applications in Distributed Energy Storage Technologies

Long HUO1,2, Yubao ZHANG1,2, Xin CHEN1,2   

  1. 1.Center of Nanomaterials for Renewable Energy, State Key Laboratory of Electrical Insulation and Power Equipment, Xi’an Jiaotong University, Xi’an 710049, Shaanxi Province, China
    2.School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, Shaanxi Province, China
  • Received:2022-06-24 Published:2022-10-31 Online:2022-11-04
  • Supported by:
    the National Natural Science Foundation of China (21773182(B030103)

Abstract:

Distributed energy storage (DES) is a key component in smart distribution networks and microgrids. As one of the current disruptive technologies, artificial intelligence (AI) is expected to change the traditional modeling, analysis, and control methods of DES and make DES more intelligent. The development of the AI application in the field of power systems and the applicability of the modern AI methods in DES were briefly reviewed. Then, the AI application directions and the related research trends in three DES of different scales, micro-grid, smart building, and vehicle-to-grid (V2G), were considered. Finally, the future development of AI in DES was presented, in order to provide useful reference for intelligent research and development of distributed energy storage

Key words: distributed energy storage, artificial intelligence, micro-grid, smart building, vehicle-to-grid

CLC Number: