华电技术 ›› 2021, Vol. 43 ›› Issue (9): 1-13.doi: 10.3969/j.issn.1674-1951.2021.09.001

• 新能源并网控制 •    下一篇

能源互联网群体智能协同控制与优化技术

秦羽飞1(), 葛磊蛟2,*(), 王波3()   

  1. 1.山东科技大学 电气与自动化工程学院,山东 青岛 266950
    2.天津大学 电气自动化与信息工程学院,天津 300072
    3.武汉大学 电气与自动化学院,武汉 430072
  • 收稿日期:2021-05-07 修回日期:2021-08-05 出版日期:2021-09-25
  • 通讯作者: * 葛磊蛟(1984—),男,湖北咸宁人,副教授,博士,从事智能配电网态势感知、智能配用电大数据云技术和新能源并网优化控制等方面的研究 (E-mail: legendglj99@tju.edu.cn)。
  • 作者简介:秦羽飞(1996—),男,山东烟台人,在读硕士研究生,从事分布式光伏智能运维技术研究(E-mail: 1366769402@qq.com)。
    王波(1978—),男,河南信阳人,教授,博士生导师,博士,从事电力深度视觉、边缘计算和电力大数据等方面的研究(E-mail: whwdwb@whu.edu.cn)。
  • 基金资助:
    省部共建电工装备可靠性与智能化国家重点实验室(河北工业大学)开放课题基金资助项目(EERI_KF20200014)

Swarm intelligence collaborative control and optimization technology of Energy Internet

QIN Yufei1(), GE Leijiao2,*(), WANG Bo3()   

  1. 1. College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266950, China
    2. School of Electrical Automation and Information Engineering, Tianjin University, Tianjin 300072,China
    3. School of Electrical and Automation, Wuhan University, Wuhan 430072, China
  • Received:2021-05-07 Revised:2021-08-05 Published:2021-09-25

摘要:

能源互联网是实现我国能源革命目标的关键技术之一,也是源网荷储的集大成者。为推进能源互联网多能源协调发展和综合高效利用,对能源互联网群体智能协同控制与优化技术进行构思和顶层设计。聚焦于能源互联网的高效运行,重点从面向能源互联网优化运行的群体智能模型构建技术、基于群体智能的能源互联网运行优化技术、基于多智能体的能源互联网分布式协同控制技术等3方面对能源互联网的分布式群体智能协同控制与优化技术进行了详细设计。将该方法应用于河南省兰考县能源互联网平台,以实现全县域、全品类、全链条可观可测,可为能源互联网的优化运行提供一定理论基础和工程借鉴。

关键词: 能源互联网, 源网荷储, 多能互补, 群体智能模型, 协调优化, 分布式协同控制

Abstract:

Energy Internet, the integrator of generation, network, load and storage, is a key technology for realizing energy revolution in China. In order to promote the coordinated development of multiple energy sources for Energy Internet, and boost the efficient use of energy, a swarm intelligent collaborative control and optimization technology for Energy Internet is conceived, integrated and designed. Focusing on the efficient operation of Energy Internet, the swarm intelligence collaborative control and optimization technology has taking three aspects into consideration, group intelligence model construction technology for optimizing the operation of Energy Internet, Energy Internet operation optimization technology based on swarm intelligence and Energy Internet distributed cooperative control technology based on multi-agent. This technology will be applied in the Energy Internet platform of Lankao County, Henan Province, which can make the data from the whole county area, in all categories and from all links in the chain visible and measurable. It provides theoretical basis and engineering reference for optimizing the operation of Energy Internet.

Key words: Energy Internet, generation-grid-load-storage, multi-energy complementation, group intelligence model, coordination optimization, distributed cooperative control

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