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1.清华大学电机工程与应用电子技术系,北京市 100084
2.电力系统及大型发电设备安全控制和仿真国家重点实验室,清华大学,北京市 100084
3.广东电网有限责任公司电力调度控制中心,广东省广州市 510000
许珞(1995—),男,博士研究生,主要研究方向:信息物理系统、分布式控制。E-mail:xuluo@live.com
郭庆来(1979—),男,通信作者,长聘副教授,博士生导师,主要研究方向:信息物理系统、能源互联网、智能电网、电力系统运行与控制。E-mail:guoqinglai@tsinghua.edu.cn
刘新展(1973—),男,学士,工程师,主要研究方向:电力通信网络运行与控制、光网络技术和应用、新型光纤通信技术和应用。E-mail:liuxinzhan@gpdc.gd.csg.cn
收稿日期:2020-04-30,
修回日期:2020-07-06,
网络出版日期:2020-10-13,
纸质出版日期:2021-02-10
移动端阅览
许珞,郭庆来,刘新展等.提升电力信息物理系统韧性的通信网鲁棒优化方法[J].电力系统自动化,2021,45(3):68-75.
XU Luo,GUO Qinglai,LIU Xinzhan,et al.Robust Optimization Method of Communication Network to Improve Resilience of Cyber-Physical Power System[J].Automation of Electric Power Systems,2021,45(3):68-75.
许珞,郭庆来,刘新展等.提升电力信息物理系统韧性的通信网鲁棒优化方法[J].电力系统自动化,2021,45(3):68-75. DOI: 10.7500/AEPS20200430022.
XU Luo,GUO Qinglai,LIU Xinzhan,et al.Robust Optimization Method of Communication Network to Improve Resilience of Cyber-Physical Power System[J].Automation of Electric Power Systems,2021,45(3):68-75. DOI: 10.7500/AEPS20200430022.
依赖于先进信息技术的现代电力系统是典型的信息物理系统。电力信息物理系统不仅在业务层面存在能量流与信息流的耦合,在网架拓扑层面,物理电网和电力通信网因采用光纤复合架空地线等也存在高度的耦合特性,因此存在着故障跨空间传播的风险。为提高电力信息物理系统的韧性,基于建立的信息流及通信网模型,文中定义了一种考虑信息-物理耦合的信息流关联负荷度指标及通信网关联负荷度指标,并提出了一种面向极端场景下电力信息物理系统韧性的通信网鲁棒优化方法。该优化方法可用于电力通信网中与负荷相关的传输网层面关键业务,将重要的信息分配到更可靠的链路上,实现极端场景下电力信息物理系统韧性的提升。基于中国广东电网的实际算例系统验证了所提方法的有效性,该方法已初步应用于广东电网原型系统。
Modern power systems that rely on advanced information technologies are typical cyber-physical systems (CPSs). The cyber-physical power system (CPPS) not only has the coupling between energy flow and information flow at the business level
but also has a high-degree coupling characteristic between the physical network and the power communication network at the network topology level due to the utilization of optical fiber composite overhead ground wire (OPGW)
which has the risk of cross-space cascading failures. To improve the resilience of CPPS
an information flow correlation load index considering the cyber-physical coupling and a correlation load index of the communication network are defined based on the proposed information flow and power communication network models. Then a robust optimization method for the communication network oriented to the resilience of CPPS in extreme scenarios is proposed. The proposed method allocates critical information to reliable links at the transmission network level of communication networks
so as to improve the resilience of CPPS in the extreme scenarios. The actual example system based on Guangdong power grid of China verifies the effectiveness of the proposed method. This method has been initially applied to a prototype system for Guangdong power grid.
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