Research on Risk Probability Prediction Algorithm under Intentional Attacks on Power Coupling Networks
To accurately predict the risk probability of power coupling networks and improve the stability of power coupling networks,the algorithm for predicting the risk probability of power coupling networks under intentional attack is investigated.Under the state of intentional attack,the node correlation matrix is introduced into the Page Rank algorithm to analyze the importance of the power coupling network topology and the distribution of instance currents,and normalization is performed to identify the key nodes of the power coupling network.The risk indicators of the power coupling network are predicted through the gray model and determine the value of individual risk indicators.The dynamic weight of each evaluation index is calculated through the entropy weight method to obtain the overall risk probability prediction value of the power coupling network.The experimental results show that:the power coupling network risk probability prediction algorithm has a high-power coupling network risk equalization degree of 0.964;the obtained power coupling network risk probability prediction results and the real risk probability are closer;the prediction time is as low as 0.0706 s,and the convergence can be accomplished in 0.2 ms or less.The algorithm can accurately predict the risk probability of power coupling network and ensure the stable operation of the network.
Power coupling networkRisk probability predictionIntentional attackPage Rank algorithmGray modelCumulative matrix
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万方数据
