郭敏, 夏明超, 陈奇芳. 基于能源自组织的能源–信息–交通–社会耦合网络研究综述[J]. 中国电机工程学报, 2021, 41(16): 5521-5539. DOI: 10.13334/j.0258-8013.pcsee.202231
引用本文: 郭敏, 夏明超, 陈奇芳. 基于能源自组织的能源–信息–交通–社会耦合网络研究综述[J]. 中国电机工程学报, 2021, 41(16): 5521-5539. DOI: 10.13334/j.0258-8013.pcsee.202231
GUO Min, XIA Mingchao, CHEN Qifang. A Review of the Energy-cyber-transportation-social Coupling Network Based on Energy Self-organization[J]. Proceedings of the CSEE, 2021, 41(16): 5521-5539. DOI: 10.13334/j.0258-8013.pcsee.202231
Citation: GUO Min, XIA Mingchao, CHEN Qifang. A Review of the Energy-cyber-transportation-social Coupling Network Based on Energy Self-organization[J]. Proceedings of the CSEE, 2021, 41(16): 5521-5539. DOI: 10.13334/j.0258-8013.pcsee.202231

基于能源自组织的能源–信息–交通–社会耦合网络研究综述

A Review of the Energy-cyber-transportation-social Coupling Network Based on Energy Self-organization

  • 摘要: 该文归纳了复杂网络视角下研究能源–信息–交通–社会耦合网的背景意义、国内外研究现状、面临的研究挑战及亟需解决的关键科学问题。基于自组织理论对亟需解决的关键科学问题进行深入思考,并定义了能源自组织(energy self-organization,ESO)概念。通过ESO个体与集群的复杂特性分析,总结和比较了ESO与现有诸多文献研究类似概念的差别与优势,完善了复杂网络分析在区域能源互联网中的应用理论体系。通过提出ESO个体和集群的复杂网络建模、最优网络流分配、同步控制、故障级联机理分析及利益交互博弈等问题的研究思路与方法,揭示和增强能源–信息–交通–社会耦合网局部和整体在相互作用过程中的独立自治、自优化、自适应等特性。最后,分析展望了基于复杂网络分析研究能源–信息–交通–社会耦合网络的前景。

     

    Abstract: The research significance, state-of-the-art development, challenges and key scientific problems of the energy-cyber-transportation-social coupling network based complex network analysis was reviewed. Based on the theory of self-organization, the energy self-organization (ESO) was defined. By analyzing the complex characteristics of ESO individuals and clusters, the differences and advantages between ESO and similar concepts studied in many literatures were summarized and compared, and the theoretical system of complex network analysis application in regional energy internet was improved. Through the elaboration of ESO individual and cluster complex network modeling, optimal network flow distribution, synchronous control, cascading failure mechanism analysis and interests interactive game research idea and method, energy- cyber-transportation-social coupling network dynamic evolution characteristics such as independent autonomy, self-optimization and self-adaptation can be revealed and enhanced. Finally, the prospect of research was prospected.

     

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