Optimal Operation of Virtual Power Plant Aggregators in Day-Ahead, Intra-day, and Real-Time Multi-Market Environments
Session Chair(s) and Speakers:
Yunxin Liu
Yunxin Liu , Ph.D. Associate Research Fellow at the Smart Grid Research Institute, Wuhan University. Research interests: voltage stability of new type distribution systems, coordinated low-carbon dispatch of transmission and distribution networks, etc.
Songsong Chen
Songsong Chen , Ph.D., Senior Engineer. Research interests: demand response, virtual power plants, and electricity markets.
Session Abstract
Currently, transaction methods for virtual power plants primarily focus on resource scheduling and economic optimization within provincial demand response and peak/frequency regulation ancillary service markets. However, under the coupling of multi-market transactions and multi-level grid support, virtual power plant transaction decision-making and optimal operation still face several challenges: difficulties in characterizing the economics of distributed aggregated resources, evaluating the value of active support functions, making coupled day-ahead, intraday, and real-time decisions, and allocating benefits among multiple heterogeneous internal entities. Therefore, a critical technical issue that urgently needs to be addressed is how to construct a methodological framework integrating market demand forecasting, intelligent portfolio bidding, virtual power plant optimal operation, and multi-perspective value evaluation. This framework aims to enable cross-time-horizon coordinated intelligent bidding and highly efficient optimal operation for virtual power plants across multi-market and multi-level environments.