Keynote Speakers
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Prof. Junhua Zhao
The Chinese University of Hong Kong, Shenzhen
Exploration of Large Language Model Agents in Power Systems
Abstract: This talk first reviews the latest research progress in Large Language Models (LLMs) and agent technologies, analyzes their core algorithmic architectures, key capabilities, and technical features, and explores the potential for deep integration of these technologies in the power systems field. Next, it focuses on demonstrating application examples of large models and agents in power system dispatching, revealing their advantages in enhancing the intelligence level of dispatching. Finally, through preliminary cases in power market simulation and game analysis, it showcases how LLMdriven agents play a pivotal role in key processes such as market simulation and trading behavior analysis. It also looks ahead to the application prospects and challenges in AI for Science (AI4S), real-time simulation, and complex system decision-making in the future.
Dr. Jing Qiu
The University of Sydney
Energy Markets with Inverter-Constrained Trading of Home Battery Systems
Abstract: Australia is entering a decisive decade in its clean-energy transition, with millions of households expected to adopt batteries as rooftop solar continues to expand. The A$2.3 billion Cheaper Home Batteries Program has already triggered rapid uptake, yet the full technical and economic value of these batteries remains largely unrealised. Today’s household batteries operate in isolation, constrained by inverter limits, customer usage patterns, and local network bottlenecks. Without intelligent coordination, this rapidly growing fleet risks increasing volatility rather than supporting grid stability. My speech addresses this emerging challenge and outlines a new engineering framework to unlock the value of distributed batteries in future energy markets. The core idea is simple but transformative: battery trading strategies must be co-designed with inverter dynamics and network constraints. The project develops new theoretical foundations that unify market participation, inverter operating limits, and battery degradation models. It then introduces a co-optimisation framework allowing batteries to simultaneously earn revenue from energy and ancillary service markets while enhancing voltage, frequency, and system-strength support. Finally, it presents intelligent learning-based trading algorithms and a software-defined coordination platform capable of managing thousands of household batteries in real time, ensuring stable, flexible, and profitable operation at scale. By integrating economics, optimisation, power electronics, and machine intelligence, this speech addresses a critical gap in Australia’s distributed energy landscape. It provides a pathway for household batteries to become reliable market participants, strengthening grid resilience, accelerating renewable integration, and reducing energy costs for consumers. This speech highlights both the scientific breakthroughs and the national importance of building inverter-constrained, market-responsive battery systems for Australia’s energy future.
Assoc. Prof. Mingxi Liu
The University of UTAH
Recent Progress in Privacy-Preserving DER Control and Perspectives on Energy Access Challenges
Abstract: The increasing penetration of renewable energy generation presents significant challenges to power system operation, primarily arising from the uncertainty and intermittency inherent in these energy sources, thereby necessitating enhanced power system flexibility. Distributed energy resources (DERs) have considerable potential to offer this flexibility, but fully realising their benefits requires addressing three key challenges: scalability, privacy, and cybersecurity. This talk will focus on privacy preservation in distributed DER control, highlighting recent advancements in integrating cryptographic techniques, secret sharing, and state obfuscation into distributed optimisation frameworks to safeguard data confidentiality while maintaining algorithm convergence, efficiency, and accuracy. In addition, I will briefly discuss energy access challenges in remote and underserved communities, where limited infrastructure and resource constraints hinder reliable power availability. Insights from our analyses and recent initiatives aimed at addressing these challenges will be presented.
