Open AccessComprehensive Risk Assessment Method of Power Grid Based on Grey Relational Weight Game Theory
Author(s) -
Di Lu,
Changqing Xu,
Linjuan Zhang,
Lili Wang,
Yan Sun
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/453/1/012068
Subject(s) - weighting , grey relational analysis , grid , projection (relational algebra) , computer science , ideal (ethics) , power (physics) , relation (database) , data mining , electric power system , game theory , reliability engineering , mathematical optimization , algorithm , mathematics , statistics , engineering , mathematical economics , medicine , philosophy , physics , geometry , epistemology , quantum mechanics , radiology
Taking the risk assessment of power system which include new energy grid and AC/DC hybrid structure as the research object, the paper proposes a comprehensive risk assessment method based on game theory and grey relational projection. Firstly, by analyzing the risk factors faced by modern power grids, the risk assessment index system is reconstructed from three aspects, grid structure, operational status and energy supply. Secondly, by creating combination weighting model based on game theory, the subjective weight values and the objective weight values of indexes are integrated to eliminate the weight deviation caused by single weighting method. Thirdly, based on grey relation projection model, the projection values of risk index samples on ideal states are calculated, and the overall risk of samples is represented by its superiority to negative ideal state. The proposed method could identify operation modes with high risk for power grid, which is significant to safe and stable operation of the power grid. Finally, by case analysis, the effectiveness of the proposed method is proved.