IEEE PESGRE2025 SYPA Winner - Future-Ready Microgrid: Adaptive Power Sharing with MPC

Описание: This video presentation describes the work in the paper titled: A Model Predictive Control Scheme for Power Sharing in Open-End Winding Transformer based Microgrids

Authors' names: Naufal N, Rajeevan PP, Rajesh Joseph Abraham Affiliations: Indian Institute of Space Science and Technology Trivandrum.

Paper abstract: This paper presents a Model Predictive Control
(MPC) method to control power in an isolated microgrid built
using two voltage Source inverters (VSI) connected to an openend winding transformer. The coordinated control of each VSI is based on the availability of power in the associated energy sources, which may be renewable sources or energy storaged evices. Under different load demands and source conditions, the open-end winding transformer configuration permits both
inverters to independently contribute to active (P) and reactive
(Q) power sharing. Because of its dynamic reference tracking,
constraint handling, and predictive capabilities, MPC is used to
ensure better voltage regulation and less current ripple. MPC
predicts future system behavior and optimizes control actions to
meet multiple objectives simultaneously, such as keeping the
transformer primary voltage constant, minimizing current ripple
and sharing power in any desired ratio. Compared to traditional
methods like PI or droop control, MPC can explicitly handle
constraints and adapt quickly to changing conditions, providing
more precise and robust power sharing between inverters in a
microgrid. The strategy is validated in MATLAB SIMULINK
under 2 power-sharing scenarios: equal distribution of P and Q,
and unequal (e.g., 30–70%) power sharing. Simulation results
confirm that the approach maintains load voltage quality and
optimizes inverter utilization under varying power availability
conditions.

I would like to express my deepest gratitude to Dr. Rajeevan P. P. and Dr. Rajesh Joseph Abraham for granting me the invaluable opportunity to work on this project. Their insightful guidance, constant encouragement, and unwavering support have been a true source of inspiration throughout this journey.
I also extend my sincere thanks to IEEE IES SYP for their generous travel grant, which enabled me to present and share my work on a wider platform.