面向新型产消者的综合能源系统和电力市场研究  

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

作　　者：侯鲁洋 葛磊蛟 王飚[4] 王宣元 徐连明[2] 王莉 HOU Luyang;GE Leijiao;WANG Biao;WANG Xuanyuan;XU Lianming;WANG Li(School of Computer Science(National Pilot Software Engineering School),Beijing 100876,China;School of Electronic Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China;School of Electrical and Information Engineering,Tianjin University,Tianjin 300072,China;School of Energy and Electrical Engineering,Chang'an University,Xi'an 710038,China;State Grid Jibei Electric Power Company Limited,Beijing 100054,China)

机构地区：[1]北京邮电大学计算机学院(国家示范性软件学院),天津300072 [2]北京邮电大学电子工程学院,北京100876 [3]天津大学电气自动化与信息工程学院,天津300072 [4]长安大学能源与电气工程学院,西安710038 [5]国家电网冀北电力有限公司,北京100054

出　　处：《综合智慧能源》2022年第12期40-48,共9页Integrated Intelligent Energy

基　　金：国家电网公司总部科技项目(5400-202128572A-0-5-SF);国家电网公司总部科技项目(5700-202014197A-0-0-00);国家自然科学基金项目(U2066201)。

摘　　要：能源互联网为综合能源系统提供了一种能源供应的新型共享平台,物联网和人工智能技术也推动着传统电力用户向具有人工智能和经济学属性的能源产消者转换。然而,分布式能源和能源产消者的融入给综合能源系统的建模优化和电力市场设计带来诸多挑战,需要借助人工智能开发综合解决框架实现资源的最优配置、多能互补以及分布式决策。为实现综合能源系统中产消者和分布式能源的有机结合,研究了综合能源系统下多能互补和源网荷储多元协调等问题,分析了产消者的社会和经济学属性,提出了基于博弈论、运筹学和机器学习的综合解决框架,借助数字孪生和仿真技术构建电力市场,实现与产消者和综合能源系统的连接和交互,可为建立清洁低碳安全高效的能源体系并实现碳中和目标提供理论指引和技术支持。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.

关 键 词：碳中和 综合能源系统 分布式能源 多能互补 源网荷储 能源产消者 电力市场 人工智能 信息物理系统 数字孪生 博弈论 机器学习 能源互联网 

分 类 号：TK019[动力工程及工程热物理] TM73[电气工程—电力系统及自动化]