Expert talk on Voltage Stability Analysis in a Modern Power System using AI

20 March, 2026

The Electrical Engineering Department of VGEC organized an expert talk on “Voltage Stability Analysis in a Modern Power System using AI” on 20th March 2026. The session was delivered by Dr. B. N. Suthar from LEC-Morbi, with the objective of introducing students to advanced techniques for analyzing and improving voltage stability using Artificial Intelligence. The expert began with a fundamental overview of voltage stability in power systems, emphasizing its importance in maintaining reliable and secure grid operation. Various causes of voltage instability, such as increased loading, reactive power imbalance, and transmission constraints, were discussed. The session then transitioned into modern approaches where AI techniques—such as machine learning and neural networks—are applied for prediction, monitoring, and control of voltage stability. The lecture also covered real-time applications, including smart grid integration, predictive analysis, and fault detection using AI-based models. Case studies and simulation examples were presented to demonstrate how AI enhances the accuracy and speed of stability assessment compared to conventional methods. The session was interactive and provided students with exposure to current research trends and industrial practices in intelligent power systems.

Key Features: 

Organizing Department:  Electrical Engineering Department 

Date: 20th March, 2026 (01:00 PM to 02:30 PM)

Expert Name: Dr.B.N.Suthar,Professor, LEC-Morbi 

Number of Participants: 120

Event Coordinators: Dr. M.H. Pandya, Prof. D. J. Vaghela and Prof. V. M. Parmar

Outcomes and Learning by Students

· Students gained understanding of voltage stability concepts in modern power systems. 

· Awareness of AI applications in power system analysis was enhanced. 

· Exposure to advanced tools and techniques for stability assessment. 

· Understanding of real-time monitoring and predictive analytics in smart grids. 

· Encouragement to pursue research in AI-based power system applications.

Glimpses