Integrated Intelligent Energy ›› 2022, Vol. 44 ›› Issue (12): 40-48.doi: 10.3969/j.issn.2097-0706.2022.12.006

• Integrated Energy System • Previous Articles     Next Articles

Research on the integrated energy system and the electricity market towards new prosumers

HOU Luyang1a(), GE Leijiao2(), WANG Biao3(), WANG Xuanyuan4(), XU Lianming1b(), WANG Li1a()   

  1. 1a. School of Computer Science (National Pilot Software Engineering School); b. School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876,China
    2. School of Electrical and Information Engineering, Tianjin University,Tianjin 300072,China
    3. School of Energy and Electrical Engineering, Chang'an University, Xi'an 710038,China
    4. State Grid Jibei Electric Power Company Limited, Beijing 100054,China
  • Received:2022-08-20 Revised:2022-11-12 Online:2022-12-25 Published:2023-02-01

Abstract:

Energy Internet provides a new sharing platform for the energy supply of integrated energy systems, and Internet of Things and Artificial Intelligence (AI) technologies are driving the transformation of traditional energy consumers to prosumers with AI and economic attributes. However, the participation of distributed energy and energy prosumers brings challenges to the model optimization of integrated energy systems and electricity market design, calling for the development of AI-based integrated solution framework to deal with the optimal allocation of resources, multi-energy complementation and distributed decision-making. To facilitate the fusion of energy prosumers and distributed energy resources into integrated energy systems, the multi-energy complementation and source-grid-power-storage coordinated control of integrated energy systems are studied, and the social and economic characteristics of energy prosumers are analyzed. A comprehensive solution framework taking advantages of game theory, operations research and machine learning is proposed to solve the aforementioned issues. With the support of digital twin and simulation techniques, an electricity market based on digital twin and simulation techniques is constructed to realize the connection and interaction between prosumers and integrated energy systems. The method provides the theoretical guidance and technical support for the establishment of a clean, low-carbon, safe, and efficient energy system and advances the carbon neutrality target.

Key words: carbon neutrality, integrated energy system, distributed energy, multi-energy complementation, source-grid-power-storage, energy prosumer, electricity market, artificial intelligence, cyber physical system, digital twin, game theory, machine learning, Energy Internet

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