摘要

The operational reliability assessment of integrated energy systems can not only realize the real-time perception of the operating status, but also can reasonably predict the short-term operational risks. Using data-driven artificial intelligence technology to solve problems in the energy field is a current research hotspot. In this paper, firstly, the equipment operational reliability modeling methods of integrated energy systems considering time-varying features and uncertainty of supply and demand based on data-driven method were summarized, and the shortcomings of existing research in equipment operational reliability modeling were pointed out. Then, the principles, research status and limitations of current research on data-driven and model-data hybrid driven operational reliability assessment methods were introduced in detail. Finally, aiming at the shortcomings of existing research, the study on the operational reliability assessment of integrated energy systems were summarized and prospected, and the overall idea of hybrid-driven operational reliability modeling and assessment process under the background of artificial intelligence was proposed.
? 2022 Chinese Machine Press.