Special Session V: Optimal Control and Game Theory in Integrated Energy Systems 最优控制和博弈论在综合能源系统中的应用

 

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

 

Summary: 

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.

 

在复杂非线性综合能源系统与多智能体交互控制的研究背景下，传统最优控制算法存在收敛速度慢、安全约束保障不足、通信开销过大等问题，极大限制了算法的工程落地应用。亟需开发无模型自适应动态规划策略，兼顾系统运行安全性、计算效率与多参与者均衡性能。本次分会场将探讨先进自适应评价学习理论与可工程实现的控制方案，以解决耦合能源系统与非线性博弈系统面临的各类优化难题。

 

Topics of interest include, but are not limited to:

1. Decentralized learning and control algorithms for integrated energy systems （面向综合能源系统的分布式学习与控制算法）
2. Model-free optimal operation methods for integrated energy systems（综合能源系统无模型最优运行方法）
3. Optimal control of integrated energy systems（综合能源系统最优控制）
4. Optimal dispatching of integrated energy systems（综合能源系统最优调度）
5. Game theory in integrated energy systems（博弈理论在综合能源系统中的应用）

 

Keywords:

Game theory （博弈论）

Optimal control （最优控制）

Optimal dispatch （优化调度）

Model-free operation （无模型运行）

Integrated energy systems （综合能源系统）

 

Submission Deadline: August 31, 2026