Fuzzy Measurement of Information Communication System Risk Estimation in Smart Grid

CUI Limin; LI Gang; WANG Tianjun; SHI Jianghong; SONG Yu

doi:10.3969/j.issn.1000－7229.2017.05.007

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

Fuzzy Measurement of Information Communication System Risk Estimation in Smart Grid

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

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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

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CUI Limin, LI Gang, WANG Tianjun, SHI Jianghong, SONG Yu.

Fuzzy Measurement of Information Communication System Risk Estimation in Smart Grid

[J]. Electric Power Construction. 2017, 38(5): 52 https://doi.org/10.3969/j.issn.1000－7229.2017.05.007

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Funding

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)