Call for Special Sessions

Special Session 1: Integrating hydrogen energy into power, energy and industry systems

Chair:Jin Lin, Associate Professor, Tsinghua University, China

Vice Chair:Yuxuan Zhao, Associate Professor, South China University of Technology, China

The global energy transition and decarbonization have positioned hydrogen as a cornerstone of the future energy landscape. Green hydrogen, produced via electrolysis using renewable electricity, offers a unique pathway to decarbonize not only the power sector but also vital industries and heavy transport. However, the path to deep integration is fraught with multidisciplinary challenges. These permeate the entire hydrogen ecosystem. from reducing the cost of electrolysis and scaling up renewable capacity to addressing technical hurdles in hydrogen storage, transportation, and safety. Further challenges include adapting existing pipeline infrastructure, developing robust international markets, and establishing coherent policy frameworks to enable investment. Given this background, this special session solicits original research that explores the techno-economic, social, and policy dimensions of creating a synergistic hydrogen economy, highlighting its crucial role in achieving the energy transition and decarbonizing the power, energy and industry systems.

1. The design and modeling of the hydrogen energy system and equipment;
2. Energy management of hydrogen energy systems;
3. Planning and operation methods for integrating hydrogen energy into the power and energy systems;
4. The grid-forming technologies for hydrogen energy equipment;
5. The control and protection methods for hydrogen energy equipment;
6. Energy system resilience enhancement using hydrogen energy;
7. Economic analyses of integrating hydrogen energy into the industry system;
8. Implementation paths and roadmaps for decarbonizing the industry system.

 

Special Session 2: AI-Powered Smart Sensing and Advanced Data Analytics for New-Type Power System

Chair:Bo Liu, Associate Professor, Tianjin University, China

Vice Chair 1:Peng Lu, Associate Professor, China Agricultural University, China

Vice Chair 2:Chunyi Huang, Assistant Researcher, Shanghai Jiao Tong University, China

Vice Chair 3:Fangyuan Si, Assistant Professor, Beijing Jiao Tong University, China

State monitoring and sensing across generation, grid, load, and storage serve as a critical foundation for the scientific planning and operational optimization of power system. With the widespread deployment and application of various sensing devices in power system, data-driven approaches for smart grid planning and operation are receiving increasing attention. In the face of multiple challenges associated with new-type power system, successful applications of artificial intelligence across various fields have injected new momentum, creating fresh development opportunities for smart sensing and data analytic technologies in modern power system. This workshop aims to bring together diverse perspectives to explore the latest advances and future directions in this field.

1. Smart Grid
2. New-type Power System
3. Smart Sensing
4. AI for Electric Power System
5. Advanced Data Analytics

 

Special Session 3: Synergy Between Future Electrified Transportations and Power Grids

Chair:Hongcai Zhang, Associate Professor, University of Macau, China

Vice Chair 1:Zechun Hu, Professor, Tsinghua University, China

Vice Chair 2:Chengcheng Shao, Associate Professor, Xi’an Jiaotong University, China

This special session aims to explore the emerging convergence between next-generation electrified transportation systems and power grids. The rapid advancement of electric vehicles (EVs)—including electrified land vehicles, ships, and aircraft—is accelerating the integration of power and transportation systems, which have traditionally been managed independently. As these systems become increasingly interdependent, the operation and control of EVs have evolved into a complex, interdisciplinary challenge that demands collaboration between the power systems and transportation research communities. This convergence introduces new challenges and opportunities in achieving coordinated operation, resilient integration, and economic sustainability. The session will provide a dedicated platform for academic researchers, industry practitioners, and policymakers to share insights and foster collaboration toward developing intelligent, sustainable, and future-ready power and transportation infrastructures. We welcome high-quality research contributions that address the modeling, planning, control, and policy dimensions of power–transportation synergy.

1. Modeling and forecasting of charging demand of multi-mode electrified transportation (land, marine, and air vehicles);
2. Coordinated electric vehicle charging and vehicle-to-grid (V2G) technologies;
3. Operation & control of electric vehicles in integrated power and transportation systems;
4. Planning of charging/discharging infrastructure for integrated power and transportation systems;
5. Market mechanisms for promoting electrified transportation and power grid interaction;
6. Resilience enhancement of integrated power and transportation system;
7. Integration of advanced electrified transportation (e.g., autonomous vehicles, electric ships, electric aircraft) into power grids.

 

Special Session 4: Enhancing Resilience of Future Power Systems: Synergistic Integration of Flexible Resources and Distributed Optimization

Chair:Menglin Zhang, Professor, China University of Geosciences (Wuhan), China

Vice Chair 1:Jie Shu, Researcher, Guangzhou Energy Research Institute of the Chinese Academy of Sciences, China

Vice Chair 2:Weiye Zheng, Assistant Professor, University of Macau, China

The transition towards a sustainable energy future introduces significant volatility and uncertainty, making resilience a paramount concern for modern power systems. This special session aims to address this critical challenge by exploring innovative strategies that leverage the synergistic capabilities of integrated energy systems and diverse flexible resources. The focus will be on harnessing aggregated distributed energy resources (DERs), mobile emergency resources, soft open points (SOPs), and other grid-edge devices to enhance system survivability, accelerate restoration, and maintain operational integrity during extreme events. A key dimension of this challenge involves the coordinated management of these resources across multiple stakeholders, such as distribution system operators, virtual power plants, and microgrids, whose objectives may not be fully aligned. Therefore, this session will also delve into advanced distributed optimization algorithms that ensure efficient and privacy-preserving coordination among these independent entities. We seek to bring together researchers and practitioners to present cutting-edge work on modeling, planning, operation, and control frameworks that collectively build a more resilient and adaptive power grid.

1. Multi-Energy Integration for Enhanced Resilience;
2. Distributed Optimization for Multi-Entity Resilience: Architectures and algorithms;
3. Aggregation and Control of Distributed Energy Resources (DERs) for Resilience;
4. Resilience-Oriented Scheduling of Mobile Emergency Resources;
5. Grid Resilience Enhancement using Soft Open Points;
6. Hybrid Stochastic-Robust Optimization for Resilience Planning;
7. Sequential Service Restoration for Distribution Systems;
8. Modeling of Flexible Devices in Extreme Weather.

 

Special Session 5: Flexible Control Strategies of Converter and Grid Stability for High-Penetration Renewable Integration

Chair:Li Liu, Associate professor, School of Electrical Engineering, Guangxi University, China

Vice Chair 1:Yuanpeng Guan, Associate professor, School of Automation, Guangdong University of Technology, China

Vice Chair 2:Li Qin, Engineer, Power Dispatching and Control of Center Guangxi Power Grid Co., Ltd., China

This session addresses the critical challenges and innovative solutions for maintaining power system stability and enabling flexible operation under high penetration of grid-forming renewable energy resources (IBRs - solar PV, wind, and battery storage). As traditional synchronous generation declines, ensuring grid stability and resilience requires advanced control strategies at the converter level and coordinated grid-level control schemes.

1. Flexible Power Quality Regulation Strategy for Renewable Energy Grid Integration;
2. Stability Enhancement Strategy for Grid-Forming Converters Under Renewable Power Fluctuations;
3. Novel Circuit Topology and Modulation Technique for Renewable Energy Grid Integration;
4. Advanced Inertia and Grid Strength Support Strategies for Power Systems with Large-Scale Renewables;
5. Advanced Fault Ride-Through Strategies for High-Penetration Renewable Integration.

 

Special Session 6: AI-Driven Decision-Making for Demand-Side Flexibility Utilization

Chair:Ge Chen, Assistant Professor, Great Bay University, China

Vice Chair 1:Linwei Sang, Associate Professor, Southeast University, China

Vice Chair 2:Hui Li, Associate Professor, Dalian University of Technology, China

Achieving the vision for future power grid infrastructure requires a paradigm shift from traditional management models to more autonomous, data-driven approaches. Artificial Intelligence (AI) is at the forefront of this transformation, offering unprecedented capabilities for analyzing massive datasets, predicting system behavior, and optimizing both planning and operational decisions. This Special Session will serve as a focused forum on cutting-edge AI applications in power systems, aiming to bridge the gap between AI theory and practical grid challenges. It will explore how intelligent systems can manage the immense complexity introduced by distributed resources and dynamic loads. We solicit original research that showcases novel AI frameworks, innovative machine learning models, and impactful case studies. The session is designed to highlight contributions that deliver tangible improvements in grid efficiency, reliability, and security, thereby paving the way for the intelligent and resilient power systems of the future.

1. AI-based forecasting, modeling, and uncertainty quantification for power systems.
2. Deep learning for optimal dispatch, demand response, and DER management.
3. AI applications for enhancing grid resilience, reliability, and operational security.
4. Deep learning for dynamic stability, voltage control, and frequency regulation.
5.AI for cybersecurity in power systems, including threat and anomaly detection.
6.Generative AI and LLMs for operational decision support and situational awareness.

 

Special Session 7: ACPEE 2026 Student Forum on Interdisciplinary Frontiers of Urban Power Systems

Chair:Zhenwei Zhang, University of Macau, China

Vice Chair :Liya Ma, University of Macau, China

The rapid expansion of urbanization presents growing challenges to power systems. The ACPEE 2026 Student Forum on "Interdisciplinary Frontiers of Urban Power Systems" aims to promote cutting-edge research and knowledge sharing among graduate students in areas where power systems intersect with urban subsystems, including integration with global climate evolution, next-generation communication and data intelligence, future transportation, intelligent urban building systems, AI and large models, green hydrogen and carbon neutrality. It provides a platform for graduate students to present their work, exchange ideas, and gain feedback from invited experts. It encourages innovation, fosters collaboration, and cultivates leadership among young scholars addressing the complex challenges of modern cities. We invite graduate students and young researchers to submit abstract or full paper for oral presentations to the ACPEE 2026 Student Forum. Topics should involve power systems intersecting with urban systems such as meteorology, transport, data science, AI, hydrogen, and carbon. Selected students will present on-site and receive the ACPEE 2026 Student Forum Certificate. One best presentation award will be grant. All student speakers will be awarded the "ACPEE 2026 Student Forum Certificate," and one "ACPEE 2026 Best Student Forum Presentation" award will be selected. This Forum is organized by University of Macau IEEE Industry Application Society Student Branch Chapter (IEEE IAS SBC@UM), and co-organized by University of Macau IEEE Power and Energy Society Student Branch Chapter (IEEE PES SBC@UM) and University of Macau IEEE Power Electronics Society Student Branch Chapter (IEEE PELS SBC@UM).

1. Power & Communication/ Data Intelligence;
2. Power & Future Transportation;
3. Power & Building Sector;
4. Power & Climate Evolution;
5. Power & Hydrogen/ Carbon Capture, Utilization and Storage;
6. Power & Large Language Model.

 

Special Session 8: Optimal Operation and Planning Technology for Virtual Power Plants in the Market Environment

Chair:Minglei Bao, Professor, Zhejiang University,China

Vice Chair :Chao Guo, Lecturer, Hangzhou City University, China

Under the background of "dual carbon" goals, the penetration rate of new energy is continuously rising. The intermittency and volatility of renewable energy have imposed significant balancing pressure on power systems. Meanwhile, the proportion of traditional thermal power is declining, and the regulating resources it can provide are increasingly scarce. On the demand side, there lies enormous untapped regulating potential, which urgently needs effective aggregation and mobilization. Virtual power plants (VPPs) have emerged as a key technical solution to address this demand. By integrating advanced communication technologies, intelligent control strategies, and market-oriented mechanisms, VPPs aggregate large-scale yet decentralized flexible resources into a coordinately operated, adjustable, and controllable virtual entity. This enables flexible resources to participate in power grid dispatching and electricity market transactions in an aggregated form, significantly enhancing the grid’s renewable energy accommodation capacity and overall operational efficiency. Consequently, VPPs have become a crucial technology supporting the safe, efficient, and low-carbon operation of the new power system. Therefore, this session welcomes contributions from universities, research organizations, and industry companies, among other sectors, on VPP-related solutions, technical research, and innovative ideas, to collectively promote the practical application and cutting-edge technological development of VPP technology.

1. Accurate Modeling of Diversified Distributed Energy Resources
2. Analysis of the Regulation Capability of VPPs
3. Aggregation and Dispatching Technologies for Resources in VPPs
4. Resource Planning Methodologies for VPPs
5. Trading Strategies for VPPs in Electricity Markets
6. Market Mechanisms and Policy Design for VPPs
7. Innovative Applications of AI and IoT Technologies in VPPs
8. Prospect Analysis for VPPs

 

Special Session 9: Advanced modeling and control of building, community and district energy systems for energy efficiency and demand flexibility.

Chair:Haoshan Ren, Professor, South China University of Technology, China

Vice Chair 1:Bingxu Li, Associate Professor, Hunan University, China

Vice Chair 2:Zhuang Zheng, Assistant Professor, University of Macau, China

Buildings and the power sector are major contributors to global energy consumption and carbon emissions. Decarbonization, digitalization, and intelligentization have emerged as shared development trends. The widespread, if not comprehensive, integration of renewable energy into the power grid, along with the design and operation of smart and low-carbon buildings, has become a critical factor in the transformation of energy systems. This special session aims to discuss smart energy management measures on the building demand side to improve energy efficiency and flexibility, achieving synergistic optimization between buildings and the power system. We sincerely invite submissions from various sectors, focusing on multi-scale and multi-energy flow coupled future building energy systems. The session will explore intelligent modeling and control strategies for building, community, and district energy systems, as well as innovative research and applications of advanced technologies such as artificial intelligence, big data, digital twins, and large models in the field of building energy.

1. Assessment and quantification of building energy flexibility resources
2. Modeling and co-simulation of building-integrated energy systems: white-box/gray-box/black-box models, multi-scale and multi-energy flow coupling, etc.
3. Advanced Control for Grid-Interactive Buildings: model predictive control (MPC), reinforcement learning, distributed optimal control, etc.
4. Applications of IoT, AI, large language models, and digital twin technologies for building fault detection and intelligent operation and maintenance
5. Policies and market mechanisms promoting building energy efficiency and the adoption of energy flexibility technologies
6. Case Studies and Validation: Real-world demonstrations of control strategies that successfully deliver energy efficiency and demand flexibility.

 

Special Session 10: Resilience Enhancement and Protection of Future Energy System from Cyber-Physical-Social Perspective

Chair:Hongjun Gao, Associate Professor, Sichuan University, China

Vice Chair 1:Keng Weng Lao, Assistant Professor, University of Macau, China

Vice Chair 2:Haibo Li, Deputy Director, Sichuan Energy Internet Research Institute Tsinghua University, China

The energy sector is undergoing a profound transformation, evolving into a highly interconnected energy system. The future energy system is not only deeply coupled between cyber and physical layers, but a complex cyber-physical-social system (CPSS), where digital technologies, physical infrastructure and human-social behaviors are concerned. This integration brings about advancement in energy efficiency and optimization, but also introduces complex. cross-domain vulnerabilities. This special session addresses the critical challenge of ensuring the resilience and protection of future energy system from a new cyber-physical-social perspective. This session welcomes contributions from universities, research organizations, and industry companies, among other sectors on enhancing the future energy system resilience, considering the impact of cyber-security or social behavior.

1. Cyber attack Formation and Protection in Energy System;
2. Cyber-Physical Security in Power and Energy Systems;
3. Reliability and Resilience of Integrated Energy System;
4. Resilience Enhancement and Reliability of Energy System under Extreme Contingencies;
5. Resilience Enhancement of Energy System considering Social Behavior;
6. Modeling of Cyber-Physical-Social Energy System;
7. Modeling of Cyber-Physical Energy System;
8. Enchancing Urban Grid Resilience using Flexible Resources.

 

Special Session 11: Unlocking the techno-economic benefits of large-scale distributed flexibility providers in modern transmission, distribution and microgrids

Chair:Jia Liu, Hangzhou Dianzi University, China

Vice Chair :Zao Tang, Hangzhou Dianzi University, China

The large-scale utilization of flexible resources can significantly enhance the economic efficiency, reliability, and low-carbon performance of power systems by integrating diverse adjustable resources. Flexible resources—such as energy storage, demand response, and gas-fired units—can rapidly respond to the variability of renewable energy output (e.g., wind and solar), reducing curtailment while participating in frequency regulation, voltage control, and reserve markets to improve dynamic stability. Distributed flexible resources (e.g., customer-side energy storage) can reduce peak demand, lowering the need for grid expansion. Studies in California show that demand response can cut peak investment costs by 5%–15%. By optimizing dispatch through market bidding, flexible resources minimize the operation of high-cost units and enable fast power restoration during grid failures, shortening outage durations and achieving local power balance to relieve stress on the main grid. Through the synergy of technology, market mechanisms, and policy, large-scale flexible resource utilization transforms the traditional "generation-follows-load" model into a "generation-load interaction" paradigm, achieving system-wide efficiency gains. Looking ahead, emerging technologies like hydrogen storage and vehicle-to-grid will further unlock flexibility potential of future power systems.

1. Quantitative mechanisms for dynamic characteristics and response capabilities of flexible resources;
2. Security access mechanisms for terminals and privacy data protection principles;
3. Hierarchical interaction and distributed trusted transaction mechanisms;
4. Cloud-edge cooperative scheduling and distributed control mechanisms;
5. Communication resource scheduling and security protection technologies for virtual power plants;
6. Hierarchical market mechanisms and business interaction technologies for virtual power plants;
7. Distributed cooperative interaction scheduling and operational control technologies for virtual power plants;
8. Assessment and enhancement technologies for flexibility supply capabilities of distributed energy resources;
9. Multi-resource collaborative configuration technologies for large-scale flexible resources.

 

Special Session 12: A New Paradigm for Distribution Network Planning Driven by Urban Renewal

Chair:Xin Zheng, Senior Engineer, Guangzhou Yuexiu Power Supply Bureau, China

Vice Chair 1:Dundun Liu, Associate Researcher, University of Macau Advanced Research Institute in Hengqin, China

Vice Chair 2:Jianming Fang, Chief Planner, Guangzhou Urban Planning & Design Survey Research Institute, China

In July 2025, the Central Urban Work Conference emphasized that China's urban development is transitioning from a phase of large-scale incremental expansion to one focused on enhancing the quality and efficiency of existing urban stock, positioning urban renewal as a critical strategy. The National Energy Administration and the National Development and Reform Commission have explicitly called to "integrate power grid planning and strengthen the coordination between distribution network planning and urban-rural master plans as well as territorial spatial planning." In major Greater Bay Area cities like Macao and Guangzhou, the upgrading and transformation of distribution networks face critical challenges due to spatial constraints. Moreover, power supply facilities are commonly distributed throughout streets and in communities, but their industrial appearance does not match the surrounding streetscape and urban design style. Therefore, we need to focus on using urban space more efficiently, improve how city planning data and power grid information work together, and move beyond old-fashioned approaches to create a new model for planning distribution networks that keeps pace with urban renewal. This session is to foster a dialogue between "Power Grid Engineers" and "Urban Planners," aiming to break down professional barriers and promote the integration of distribution network planning with the territorial spatial planning system.

1. Health Assessment Systems for Distribution Networks in Urban Renewal Areas;
2. Empowering Urban Distribution Network Planning with Digital Technologies (BIM+GIS+CIM);
3. Case Study Analysis of Synchronized Distribution Network Upgrades in Urban Renewal Projects;
4. Coordination Mechanisms and Policies for Integrating Distribution Network Planning with Territorial Spatial Planning;
5. AI-based Technologies for Urban Distribution Network Planning;
6. Intensive and Integrated Design of Power Corridors, Substations, and Urban Underground Spaces/Public Buildings;
7. Integration of Power Grids with Urban Lifeline Infrastructure Systems.