Electric Power ›› 2020, Vol. 53 ›› Issue (4): 59-68.DOI: 10.11930/j.issn.1004-9649.201912037

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Reliability Evaluation of Cyber-physical Distribution Network Considering the Impact of Weather Conditions

WU Yingjun1,2, FAN Tingting2, XU Hao2, NI Ming3   

  1. 1. The College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China;
    2. The College of Electrical Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210046, China;
    3. NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing 211106, China
  • Received:2019-12-08 Revised:2020-02-13 Published:2020-04-05
  • Supported by:
    This work is supported by Science and Technology Project of SGCC(Research on Cooperative Situation Awareness and Active Defense Method of Cyber Physical Power System for Cyber Attack), National Natural Science Foundation of China (No.51807051)

Abstract: The deep integration of power and communication is the development trend of distribution network, and weather is one of the most important factors affecting the reliability of the distribution network. Therefore, it is necessary to consider the influence of weather in studying and evaluating the reliability of the distribution cyber-physical system. First, the weather factors that have the greatest impact on power component faults and communication component faults are selected, and divided into intervals to build a weather state model suitable for analyzing power component faults and communication component faults. Second, based on the historical fault data and historical weather data, the power component failure probability model and communication component failure probability model are established with weather conditions as variables. Third, for the consequence evaluation of monitoring and control failure caused by communication component faults, a load loss quantification analysis method is given. And then, considering the faults of power components and communication components, a reliability assessment method is proposed for the distribution cyber-physical system based on Monte Carlo method. Finally, simulations were performed on the improved IEEE 33-node test system, which has verified the feasibility and effectiveness of the proposed method.

Key words: power grid cyber physical system, weather state model, power component, monitoring component, control component, reliability evaluation