Special Session V: Optimal Control and Game Theory in Integrated Energy Systems

Session Chair: Prof., Hanguang Su, Northeastern University, China	Co-Chair: Assoc. Prof., Jiawei Wang, Northeastern University, China

Information: With the background of complex nonlinear integrated energy systems and multi-agent interactive control, traditional optimal control algorithms suffer from slow convergence, insufficient safety constraints and excessive communication costs, which greatly restrict their practical applications. It is urgent to develop model-free adaptive dynamic programming strategies to balance system safety, computational efficiency and multi-player equilibrium performance. In this session, advanced adaptive critic learning theories and implementable control schemes will be discussed to address the optimization challenges of coupled energy and nonlinear game systems.

Topics of interest include, but are not limited to:

1. Decentralized learning and control algorithms for integrated energy systems.
2. Model-free optimal operation methods for integrated energy systems.
3. Optimal control of integrated energy systems
4. Optimal dispatching of integrated energy systems
5. Game theory in integrated energy systems

Keywords: Game theory; Optimal control; Optimal dispatch; Model-free operation; Integrated energy systems

Submission Deadline: August 31, 2026