Identification of Disturbances in Power System and DDoS Attacks using Machine Learning

Abstract Power system disturbances are the most common problem that often occurs due to human-made or natural events. The most challenging issue is finding the main cause of power disturbance and making appropriate decisions in response to it. The accuracy of the human judgement is not good in predicting the power disturbance; it is not easy for operators to monitor the system’s situation. To make human findings easier, we incorporate machine learning techniques to differentiate between the categories of power disruptions and focus more on DDoS attacks, which are its main cause. We evaluate various machine learning techniques to discriminate between power disturbances and to discuss the advantage of incorporating machine learning to enhance the productivity of the power system design.