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Prof. Li Sun
Southeast University, China
Invited Talk Title | The Role of Thermal Inertia in Improving the Flexibility of Power Grid with High Renewable Penetration
Abstract
Thermal inertia widely exists in the power systems, such as the thermal power generation in the source side and the heat pump applications in the load side. These thermal inertia is usually caused by the slow dynamics of the temperature and pressure of working fluid such as water/steam, air or refrigerant within a limited volume. This talk will discuss the potential of utilizing the thermal inertia to help smooth the fluctuation of renewable energy and thus improve the flexibility of the power grid. However, the inertia of different thermal components exhibit different time-scale dynamics and requires cautious control design. This talk begins with the dynamic modelling and analysis methods. Several uncertainty compensation based control methods are proposed for different thermal processes, including Economic Model Predictive Control (EMPC) for the energy efficiency optimization of multivariable processes. To demonstrate the efficacy, some field applications of thermal inertia control are introduced in the cases like coal-fired power plant, building energy systems and cascaded heat pump systems for distributed steam generation in industry.
Prof. Liang Yuan
Central South University, China
Invited Talk Title | Transient Stability Analysis and Stabilization Strategy for Grid-Forming Converters under Multiple Constraints
Abstract
With the rapid development of new-type power systems dominated by renewable energy and power electronic devices, low inertia, weak grid support and prominent stability problems have become critical challenges. Grid-forming (GFM) converters, as key equipment for new power system construction, face severe transient synchronization instability under large disturbances due to limited overcurrent capability and complex voltage-dynamic coupling. This report focuses on the transient stability analysis and stabilization strategies of GFM converters under multiple constraints. First, the windup phenomenon of GFM converters with priority current limiter is revisited, and a power angle criterion for this phenomenon is derived based on critical switching angle and fault-clearing angle. Second, the voltage-dynamic coupling effect on transient stability in high R/X ratio networks is revealed, and a port-controlled Hamiltonian (PCH) model is established to characterize the stability boundary accurately, with an energy reshaping control proposed for stability enhancement. Furthermore, a coordinated control strategy is designed to balance transient stability, GFM capability and current limitation by adaptively adjusting terminal voltage characteristics. Experimental results verify the effectiveness of the proposed methods in enhancing transient performance under various grid strengths. This work provides theoretical support and technical solutions for the reliable and stable application of GFM converters in new-type power systems.
Prof. Junhua Zhao
The Chinese University of Hong Kong (Shenzhen), China
Invited Talk Title | Large Model Agents in Power Grids: Human–AI Collaboration and a Paradigm Shift
Abstract
This talk offers an initial exploration of integrating large language models (LLMs) and agent technologies into modern power systems within market environments. It begins with a foundational introduction to LLM-based agents, outlining their core capabilities and architectures. A significant portion of the talk focuses on an LLM-enabled human–AI collaboration paradigm, illustrating how intelligent agents can serve as copilots to improve the efficiency and accuracy of decision-making for power engineers.
The talk further examines practical applications and emerging scenarios, including:
Power System Dispatch: Optimizing grid scheduling via intelligent decision-making frameworks in electricity market environments.
Market Simulation: Simulating power and carbon market dynamics to analyze policy impacts and trading strategies.
Quantum AI Integration: Exploring the emerging role of quantum artificial intelligence to enhance predictive accuracy and reasoning capability in advanced power market simulations.
This presentation aims to provide insights into how LLM-based agents—alongside frontier technologies like Quantum AI—are reshaping the future of smart grids toward a more intelligent, efficient, and low-carbon ecosystem.
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