Lamine Mili

Accurate dynamic modeling of power systems is essential to assess the stability of electrical power systems when faced with disturbances, which can trigger cascading failures leading to blackouts. A continuum model proves to be effective in capturing Electromechanical Wave (EMW) propagation characteristics, including its velocity, arrival time, and deviations. Analyzing these characteristics enables the assessment of the impacts of EMW on the performance of the protection system.

Prior research has often modeled nonlinear EMW propagation through Partial Differential Equations (PDEs) within a homogeneous and uniform frame structure, assuming constant bus voltages across the entire power system. However, this assumption can produce inaccurate results. In this presentation, this assumption is relaxed by introducing a second-order nonlinear hyperbolic EMW propagation equation model that accounts for voltage variations. Additionally, numerical solutions for the EMW propagation equation are presented using the Lax-Wendroff integration method. To validate the proposed approach, simulations are conducted on several test systems. The simulation results demonstrate the effectiveness of the proposed model and emphasize the importance of including the bus voltage equations in the analysis.

Biography:

Lamine Mili received the Ph.D. from the University of Liege, Belgium in 1987. He is a Professor in the Electrical and Computer Engineering Department at Virginia Tech. He has five years of industrial experience with the Tunisian electric utility (STEG). At STEG, he worked in the planning department from 1976 to 1979 and then at the Test and Meter Laboratory from 1979 to 1981. He was a Visiting Professor with the Swiss Federal Institute of Technology in Lausanne, the Grenoble Institute of Technology and the École supérieure d'électricité in France, and the Ecole Polytechnique de Tunisie in Tunisia. He did consulting work for RTE, France's Transmission System Operator. His research has focused on power system planning for enhanced resiliency and sustainability, risk management of complex systems to catastrophic failures, robust estimation and control, nonlinear dynamics, and bifurcation theory. He is the co-founder and co-editor of the International Journal of Critical Infrastructure. He is the chairman of the IEEE Working Group on State Estimation Algorithms and the chair of the IEEE Task Force on Power System Uncertainty Quantification and Uncertainty-Aware Decision Making. He has received several awards, including the US National Science Foundation (NSF) Research Initiation Award and the NSF Young Investigation Award. He is an IEEE Life Fellow "for his contributions to robust state estimation for power systems."