ELEC Research Component of PhD Qualifier Exam by Xianchao Guo-ECE
Topic: Cascading Failure Prediction in Power Systems Using Artificial Intelligence Methods
Abstract:
Cascading failures take place when the malfunction of a small number of components triggers successive failures throughout a system. Accurately predicting the propagation path of cascading failures allows for timely intervention and preventive measures to mitigate their impact. This research explores artificial intelligence (AI)-based methods to predict failure cascades initiated by the malfunction of two branches (transmission lines) in power systems. The cascading failure simulator Oracle is used to generate training data under various operating conditions from the Matpower toolbox for power systems IEEE39bus and IEEE118bus. Several machine learning methods are investigated, including decision tree, logistic regression, k-nearest neighbor, and support vector machine, along with a comparative study with the influence model and graph neural networks. Bayesian optimization is further explored for tuning hyperparameters to enhance the performance of the AI methods. The accuracy of each method is evaluated at both graph and branch levels, using metrics of failure size error rate, final state error rate, and failure step error rate. Additionally, testing time is analyzed to assess the computational efficiency of the AI models in predicting the propagation path of cascading failures in the studied power systems.
Advisor: Dr. Liudong Xing, Professor, Department of Electrical & Computer Engineering, UMass Dartmouth
Committee Members:
Dr. Hong Liu, Commonwealth Professor, Dept. of Electrical & Computer Engineering, UMass Dartmouth
Dr. Lance Fiondella, Associate Professor, Dept. of Electrical & Computer Engineering, UMass Dartmouth
NOTE: All ECE Graduate Students are ENCOURAGED to attend. All interested parties are invited to attend. Open to the public.
*For further information, please contact Dr. Liudong Xing
Lester W. Cory Conference Room, Science & Engineering Building (SENG), Room 213A - Zoom Link: https://umassd.zoom.us/j/91353340385 Meeting ID: 913 5334 0385 Passcode: 878061
: 285 Old Westport Road, North Dartmouth, MA 02747
Liudong xing
508.999.8883
lxing@umassd.edu