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计及多类型信息扰动的配电网可靠性评估
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广西电力系统最优化与节能技术重点实验室(广西大学), 广西壮族自治区南宁市 530004

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国家自然科学基金资助项目(51767002)


Reliability Assessment of Distribution Network Considering Multiple Types of Information Disturbances
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Guangxi Key Laboratory of Power System Optimization and Energy Technology(Guangxi University), Nanning 530004, China

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    摘要:

    电网智能化的提升依赖于信息化技术的发展,信息化技术在电网的广泛应用又带来了新的安全威胁。为全面量化评估来自信息系统外部及内部的信息攻击、信息元件故障和信息传输异常等信息扰动对配电网运行全过程供电可靠性的影响,依据“信息扰动—信息故障后果形式—电网故障后果形式”的扰动传播机理分析,提出了不同类型信息扰动的可靠性状态模型,将不同类型信息扰动对信息系统的影响后果统一表征信息网络拓扑、信息完整性和可用性的状态,构建了同时考虑多类型信息扰动的配电网可靠性评估的框架体系。最后,对IEEE 33节点配电系统进行仿真测试,验证了所提模型的可行性与有效性。

    Abstract:

    The improvement of grid intelligence relies on the development of information technology, and the widespread application of information technology in the power grid has brought new security threats. In order to comprehensively quantify the impact of information disturbances such as cyber attacks, information component failures and information transmission anomalies from outside and inside the information system on the reliability of the entire process of distribution network operation, according to the analysis of disturbance propagation mechanism of “information disturbance-information failure consequences form-power grid fault consequences form”, the probabilistic model of different types of information disturbance scenarios is proposed. The effects of different types of information disturbances on the information system are unified to characterize the state of information network topology, information integrity and availability. A framework system is estabished for reliability assessment of distribution networks with multiple types of information disturbances. Finally, the IEEE 33-bus power distribution system is simulated and tested to verify the feasibility and effectiveness of the proposed model.

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引用本文

陈碧云,陆智,李滨.计及多类型信息扰动的配电网可靠性评估[J].电力系统自动化,2019,43(19):103-110. DOI:10.7500/AEPS20190102006.
CHEN Biyun, LU Zhi,LI Bin.Reliability Assessment of Distribution Network Considering Multiple Types of Information Disturbances[J].Automation of Electric Power Systems,2019,43(19):103-110. DOI:10.7500/AEPS20190102006.

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  • 收稿日期:2019-01-02
  • 最后修改日期:2019-07-03
  • 录用日期:2019-05-09
  • 在线发布日期: 2019-06-28
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