Seminario Datalab
Optimization Methods of Real-Time Pricing Based on Demand Side Management for Smart Grid
Ponente: Yan Gao (University of Shanghai for Science and Technology, PRC)Fecha: martes 18 de noviembre de 2025 - 11:00-11:45Lugar: Aula Gris 1, ICMAT
Resumen:
Real-time pricing, as a key demand-side management strategy in smart grids, improves electricity consumption efficiency, balances supply and demand, and ultimately enhances social welfare. This talk introduces methodologies for real-time pricing grounded in demand-side management. We begin by presenting the background of electricity pricing mechanisms and summarizing recent advances in the field. We then highlight several key contributions from our research team, including: (1) a social welfare maximization framework for real-time pricing based on the KKT system; (2) convex hull pricing methods for unit commitment problems; and (3) real-time pricing strategies using reinforcement learning.
