Dr. R. Manojkumar

This talk presents the energy management framework focused on peak shaving and price-based demand response. Peak shaving helps in reducing the maximum grid power demand and demand response lowers energy costs by scheduling batteries based on electricity price signals. The approach considers forecasts of input powers and electricity price, battery state of charge, and operational constraints to ensure optimal performance. Case studies show noticeable reductions in peak demand, energy costs, and grid stress, along with improvements in voltage profiles.  The application of peak shaving in both isolated and grid-connected distribution systems is also discussed to highlight its practical relevance. Overall, energy management is well suited for modern distribution systems and DISCOMs which support higher renewable integration, greater operational flexibility, and a smoother transition toward sustainable energy systems.

Biography:

Rampelli Manojkumar received the B.E. degree in electrical and electronics engineering from the Vasavi College of Engineering, Hyderabad, India, in 2013, and the M.Tech. degree in power and energy systems from the National Institute of Technology Karnataka, Mangalore, India, in 2015. He completed the Doctoral degree with the Department of Electronics and Electrical Engineering, Indian Institute of Technology Guwahati, Guwahati, India. His research interests include optimal energy management and hybrid distribution systems. 

Email:

Address:Department of Electrical and Electronics Engineering, BVRIT Hyderabad College of Engineering for Women, Hyderabad, Telengana, India