基于潮流和复杂网络理论的综合能源系统关键环节识别
作者:
作者单位:

(上海电机学院电气学院,上海 201306)

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通讯作者:

王致杰(1964—),男,博士,教授,主要从事微电网智能控制和故障诊断方面研究;E?mail:wzjsdstu@163.com

中图分类号:

TM732

基金项目:

国家自然科学基金(12204301)


Identification of key links in integrated energy system based on power flow and complex network theory
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(School of Electrical Engineering,Shanghai Dianji University, Shanghai 201306, China)

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    摘要:

    综合能源系统(integrated energy system, IES)的关键环节识别对于系统的脆弱性研究和改善有重要意义。针对传统还原论方法无法解释系统层面且复杂网络分析中未考虑能流带来影响的问题,提出一种基于潮流和复杂网络结构的IES关键环节识别方法。首先,建立基于潮流的综合能源复杂网络模型,将IES的数学模型参数和潮流结果引入复杂网络的建模以使模型更加贴合现实的运行工况;其次,基于潮流计算结果和复杂网络参数,提出节点能量度和能量边介数2个评价指标,提高了关键环节识别精度;最后,根据所建立的模型对关键环节进行破坏并观察网络效率的变化,与其他攻击模式进行对比分析,验证了所提方法的可行性。

    Abstract:

    The identification of key links in a comprehensive energy system is of great significance for the research and improvement of system vulnerability. Aiming at the problem that the traditional reductionism method can not explain the system level and the influence of energy flow is not considered in the analysis of complex network, a key link identification method of the IES based on power flow and complex network structure is proposed. Firstly, a comprehensive energy complex network model is established based on power flow, and the mathematical model parameters and power flow results of the IES are introduced into the modeling of complex network to make the model more suitable for realistic operating conditions. Secondly, based on the power flow calculation results and complex network parameters, two evaluation indicators, i.e. node energy degree and energy edge intermediate, are proposed to improve the identification accuracy of key links. Finally, based on the established model, the key links are destroyed and the changes in network efficiency are observed. Compared with other attack modes, the feasibility of the proposed method is verified.

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引用本文

王思奇,梁智娴,王致杰,等.基于潮流和复杂网络理论的综合能源系统关键环节识别[J].电力科学与技术学报,2024,(3):242-252.
WANG Siqi, LIANG Zhixian, WANG Zhijie, et al. Identification of key links in integrated energy system based on power flow and complex network theory[J]. Journal of Electric Power Science and Technology,2024,(3):242-252.

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  • 在线发布日期: 2024-07-25
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