
Experienced Power Systems Engineer (Ph.D. Student, Université Laval) focused on Power System Stability. Experienced in contingency analysis using PowerFactory and PSS®E. Built a Python PowerFactory–Pyomo co-simulation API for optimization-driven contingency mitigation, using demand response and generations rescheduling to improve the stability of power system.
DIgSILENT–Pyomo Co-simulation (API):
Optimization in Power Systems:
Contingency Analysis:
Computer Skills:
Title: A novel approach for improving transient voltage stability using demand response and generation rescheduling as optimal preventive actions
Journal: Energy (Under Review)
Title: A security-constrained co-optimization of wind participation, demand response, and generation rescheduling for mitigating the risk of transient voltage stability
Conference: IEEE Power & Energy Society General Meeting (Under Submission by November 10, 2025)
Python (Scikit-learn for Machine Learning) [Link: https://maktabkhooneh.org/certificates/mk-rvoney/?lang=en]