综合智慧能源 ›› 2022, Vol. 44 ›› Issue (12): 40-48.doi: 10.3969/j.issn.2097-0706.2022.12.006

• 综合能源系统 • 上一篇    下一篇

面向新型产消者的综合能源系统和电力市场研究

侯鲁洋1a(), 葛磊蛟2(), 王飚3(), 王宣元4(), 徐连明1b(), 王莉1a()   

  1. 1.北京邮电大学 a.计算机学院(国家示范性软件学院);b.电子工程学院,北京 100876
    2.天津大学 电气自动化与信息工程学院,天津 300072
    3.长安大学 能源与电气工程学院,西安 710038
    4.国家电网冀北电力有限公司,北京 100054
  • 收稿日期:2022-08-20 修回日期:2022-11-12 出版日期:2022-12-25 发布日期:2023-02-01
  • 作者简介:侯鲁洋(1991),男,副研究员,博士,从事能源互联网、车网交互与边缘计算、机制设计、人工智能等方面的研究,luyang.hou@bupt.edu.cn
    葛磊蛟(1984),男,副教授,博士,从事智能配电网态势感知、新能源并网优化控制和智能配用电大数据云计算等方面的研究,legendglj@tju.edu.cn
    王飚(1969),男,副教授,博士,从事大系统协调优化、人工智能与机器人控制、过程控制理论与技术等方面的研究,wangbiao@chd.edu.cn
    王宣元(1979),女,正高级工程师,博士,从事电力市场、电力系统运行控制、新能源并网与消纳、电力电子等方面的研究,wang.xuanyuan@jibei.sgcc.com.cn
    徐连明(1982),男,讲师,博士,从事协作定位、边缘智能、边缘缓存以及计算等方面的研究,xulianming@bupt.edu.cn
    王莉(1982),女,教授,博士,从事应急通信与智能系统、能源互联网、边缘计算与分布式缓存等方面的研究,liwang@bupt.edu.cn
  • 基金资助:
    国家电网公司总部科技项目(5400-202128572A-0-5-SF);国家自然科学基金项目(U2066201);国家电网公司总部科技项目(5700-202014197A-0-0-00)

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

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。

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

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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