期刊
SCIENCE CHINA-INFORMATION SCIENCES
卷 64, 期 9, 页码 -出版社
SCIENCE PRESS
DOI: 10.1007/s11432-020-3176-x
关键词
IES; system modeling; assessment; operational optimization; data-driven
资金
- National Key R&D Program of China [2017YFA0700300]
- National Natural Sciences Foundation of China [61833003, 61533005, U1908218]
- Fundamental Research Funds for the Central Universities [DUT18TD07]
- Outstanding Youth Sci-Tech Talent Program of Dalian [2018RJ01]
This research reviews studies on system modeling, assessment, and operational optimization of the integrated energy system (IES), presenting ongoing problems requiring further investigation. It also discusses data-driven approaches on the IES and suggests future research directions based on these approaches.
Building an efficient, safe, and sustainable energy system has been listed as one of the national energy development strategies in China. Through unified management and optimization for the processes of energy generation, transmission, conversion, and distribution, the integrated energy system (IES) can meet the diversified demands on energy with high efficiency and effectiveness, providing the basis to form a low-carbon sustainable social development mode. This research reviews the studies and issues of system modeling, assessment, and operational optimization on the IES. The ongoing problems that need further investigation are also presented. Besides, research of data-driven approaches on the IES will be discussed, based on which the future research directions are suggested here.
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