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1.三峡大学电气与新能源学院,湖北 宜昌 443002
2.国网经济技术研究院有限公司,北京 102200
李希喆(1996—),男,硕士研究生,研究方向为电力系统规划(E-mail:542085927@qq.com)。
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李希喆, 辛培哲, 江璟. 计及能量流与信息流的电力信息物理系统关键节点辨识[J/OL]. 高压电器, 2025,1-12.
LI Xizhe, XIN Peizhe, JIANG Jing. Key Node Identification of Power Cyber-physical System Considering Energy Flow and Information Flow[J/OL]. High voltage apparatus, 2025, 1-12.
随着信息通信技术在电力系统中的广泛应用,传统电网由仅分析物理系统或信息空间本身向新型电力系统下电力信息物理系统(cyber-physical power system,CPPS)方向转变。文中基于复杂网络理论,通过模拟连锁故障下能量流与信息流的交互作用,提出了一种关键电力节点与信息节点的辨识方法。首先根据CPPS中能量流与信息流之间相互耦合关系,结合电力网潮流与信息网时延变化相互之间发生的连锁故障的演变过程,构建了CPPS一二次系统相互依存网络模型;然后在此基础上建立电力网和信息网重点节点指标并辨识关键信息—物理重要节点;最后,利用算例仿真法对模型和方法的有效性进行检验,判断该方法在实践中是否可行。
With the wide application of information and communication technology in power systems
the traditional power grid is transformed from only analyzing the physical system or the information space itself to the cyber-physical power system (CPPS) under the new power system. Based on the complex network theory
this paper proposes an identification method of key power nodes and information nodes by simulating the interaction between energy flow and information flow under cascading failures. Firstly
according to the coupling relationship between energy flow and information flow in CPPS
combined with the evolution process of cascading failures between power flow and information network delay changes
the interdependent network model of CPPS primary and secondary systems is constructed. Then
on this basis
the key node indexes of power network and information network are established and the key cyber-physical important nodes are identified. Finally
the effectiveness of the model and method is tested by an example simulation method to determine whether the method is feasible in practice.
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