On Data-Driven Modeling and Control in Modern Power Grids Stability: Survey and Perspective

• DOI: 10.48550/arxiv.2308.03591
• Publication Date: 2023-01-01
• Authors: Xun Gong; Xiaozhe Wang; Bo Cao
• Keywords: FOS: Electrical engineering, electronic engineering, information engineering; Systems and Control (eess.SY); 7. Clean energy; Electrical Engineering and Systems Science - Systems and Control

Modern power grids are fast evolving with the increasing volatile renewable generation, distributed energy resources (DERs) and time-varying operating conditions. The DERs include rooftop photovoltaic (PV), small wind turbines, storages, flexible loads, electric vehicles (EVs), etc. grid control is confronted low inertia, uncertainty nonlinearity that challenge operation security, efficacy efficiency. ongoing digitization of provides opportunities to address challenges data-driven control. This paper a comprehensive review emerging dynamical modeling methods their various applications in grid. Future trends also discussed based on advances