• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

Electric Power Construction ›› 2017, Vol. 38 ›› Issue (5): 52-.doi: 10.3969/j.issn.1000-7229.2017.05.007

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Fuzzy Measurement of Information Communication System Risk Estimation in Smart Grid

 CUI Limin1, 2, LI Gang3, 4, WANG Tianjun2, SHI Jianghong3, SONG Yu3   

  1.  1. School of Economic & Management, North China Electric Power University, Beijing 102206, China;
    2. State Grid Xinjiang Information and Telecommunication Company, Urumqi  830018, China;
    3. School of Control & Computer Engineering, North China Electric Power University, Baoding 071003, Hebei Province, China;
    4. State Key Laboratory of Alternate Electric Power System with Renewable Energy Sources (NCEPU), Beijing 102206, China
  • Online:2017-05-01
  • Supported by:
     Project supported by National Natural Science Foundation of China (51407076); Fundamental Research Funds for the Central Universities (2015ZD28); Hebei Provincial Natural Science Foundation of China (F2014502050)
     

Abstract:  The deep fusion of cyber and physical system has brought new challenges to the risk assessment of the information and communication network in smart grid. Because the coupling degree between power grid and power information network is deeper and deeper, the risk assessment of power information and communication system contains multiple levels and indicators with a deep inner correlation. Under this background, this paper presents a comprehensive risk assessment model. Firstly, we construct the index system of risk assessment for power information communication network, and then comprehensively evaluate the risk with using fuzzy measure and fuzzy integral method, which determines the fuzzy density of single index by combining the subjective weighting calculation method with the objective calculation method, calculates fuzzy measure based on the obtained fuzzy density, and adopts fuzzy integral operator to integrate comprehensive estimation value of index set. Finally, the maximum membership degree principle is adopted to obtain the comprehensive risk value. The effectiveness of the method is verified by a case analysis.

 

Key words:  power information communication network, risk assessment, fuzzy measure, fuzzy integral

CLC Number: