Special Sessions

SEPS 2026 Special Sessions

Special sessions are organized according to the official AIS attendee page order where available, with additional proposals compiled from the local session documents.

The following sessions focus on new power systems, renewable energy integration, smart energy, AI-enabled decision-making, computing-power coordination, and future distribution systems.

Official Order Reference

Session I

Stability of New Power Systems and Grid-Connected Renewable Energy

Session Chair

Prof. Shan He, Xinjiang University

Additional Chair Record

Prof. Haiyun Wang, Xinjiang University

This forum gathers experts from power grid operators, universities, and renewable energy equipment enterprises to address grid stability challenges caused by high-penetration renewable energy integration.

Discussion topics include wind and solar wide-frequency oscillation suppression, fault ride-through, grid-forming converter control, AC/DC hybrid grid stability mechanisms, coordinated regulation schemes for energy storage and flexible loads, renewable-friendly grid integration technologies, new energy storage technologies, and coordinated planning and operation of main grids, distribution grids, and microgrids.

Renewable Grid Integration

Grid-Forming Control

Energy Storage

Stability Control

Session II

Smart Energy and AI-Driven Decision-Making

Session Chair

Prof. Zhijiang Cheng, Xinjiang University

This session focuses on the frontier integration of artificial intelligence with energy and power systems. It addresses uncertainty introduced by high renewable energy penetration in new power systems.

The session explores innovative AI applications in source-load forecasting, multi-energy coordinated dispatch, dynamic intelligent optimization, and system risk warning. It invites scholars and experts to exchange views on algorithmic breakthroughs, engineering implementation, and future development paradigms for safe, efficient, green, and intelligent energy systems.

AI Decision-Making

Source-Load Forecasting

Multi-Energy Dispatch

Risk Warning

Session III

AI DC and Computing-Power Coordination

Session Chair

Researcher Zhixin Wang, Shanghai Jiao Tong University

Session Chair

Prof. Hui Chen, Shanghai University of Electric Power

This session brings together frontier research on AI data centers and computing-power coordination. It focuses on multi-level energy consumption, carbon footprint, joint scheduling models for computing tasks and power flow, and adjustable capacity in servers, cooling systems, and energy storage.

Topics include refined modeling and real-time sensing of data center energy consumption and carbon emissions, cross-domain computing-power and power-system optimization for renewable energy accommodation, flexible-load aggregation, demand response, auxiliary services, green power trading, coordinated planning of computing networks, storage and green electricity, and evaluation standards.

AI Data Centers

Computing-Power Coordination

Green Power Trading

Demand Response

Session IV

Planning, Operational Dispatch, and Market Modes for New Distribution Systems

Session Chair

Assoc. Prof. Hejun Yang, Hefei University of Technology

Session Chair

Assoc. Prof. Quan Li, Xinjiang University

Session Chair

Lecturer Tianshuo Zhou, Shihezi University

With the rapid development of renewable energy, energy storage, and flexible loads, distribution systems are transitioning from traditional unidirectional power supply networks toward new distribution systems featuring coordinated interactions among generation, grids, loads, and storage.

Facing high-penetration renewable energy integration, new distribution systems encounter challenges in planning optimization, operational dispatch, coordinated control, business model innovation, resource uncertainty, multi-stakeholder coordination, and evolving market mechanisms. This session focuses on system planning, operational dispatch, coordinated control, flexible resource utilization, and market-mode innovation.

Distribution Planning

Operational Dispatch

Flexible Resources

Market Modes