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Key Technologies for Multi-time-scale Dynamic Time-domain Simulation of Integrated Energy System

1.College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China;2.Department of Electrical Engineering, Tsinghua University, Beijing 100084, China;3.Global Energy Interconnection Research Institute Europe GmbH, Berlin 10623, Germany


In order to improve the energy efficiency, integrated energy systems (i.e. integrated electricity-heat-gas systems) attract increasing attention worldwide in recent years. Efficient and accurate multi-time-scale dynamic time-domain simulations play an essential role in the operation and control of the integrated energy system. Taking the dynamic modeling and simulation of the integrated energy system as the research object, the structure and dynamic process of integrated energy system is presented first in this paper. Then, this paper introduces the research progress achieved in the dynamic modeling and simulation technology of integrated energy system from three key points of basic model, simulation technology and numerical calculation, mainly including multi-energy coupling general modeling theory, partitioned multi-rate simulation technology, and efficient numerical calculation implementation method for heterogeneous energy networks. On this basis, the key challenges that still need to be solved in the existing research are discussed, such as dynamic modeling under variable operating conditions, multi-rate partitioning interface processing, and selection of numerical solution formats. Finally, the research directions and application scenarios of key dynamic modeling and simulation techniques for the future integrated energy system are prospected.



This work is supported by National Natural Science Foundation of China (No. 52007194).

Get Citation
[1]XIA Yue, CHEN Ying, DU Songhuai, et al. Key Technologies for Multi-time-scale Dynamic Time-domain Simulation of Integrated Energy System[J]. Automation of Electric Power Systems,2022,46(10):97-110. DOI:10.7500/AEPS20201203007
  • Received:December 03,2020
  • Revised:May 24,2021
  • Adopted:
  • Online: May 23,2022
  • Published: