Power Grid Security Situation Awareness Method based on Deep Learning
Hongfeng Zhang, Suo Lang Bu Duo Jie, Yuxin Yang, Rui Zhang, Qiong Lang, La Ba Dun Zhu, Mi Ma Ci Ren · 2023
In order to improve the security of the power grid and realize the sustainable operation of the power grid, the deep learning neural network is introduced to design and study the security situation awareness method of the power grid, and a new security situation awareness method is proposed. In this paper, the trend of power grid is predicted by using the evaluation index of power grid security situation and combining with various environmental factors of power grid. After clarifying the evaluation index of power grid security situation and its related meanings, the risk of power grid security situation is quantified and the security risk level is divided. The prediction model of power grid security situation based on deep learning is constructed, and the prediction results of security situation awareness are verified. Through the real power grid example, it is verified that the security situation awareness method proposed in this paper can achieve accurate prediction of power grid security level.