Paper submission deadline: April 30, 2026

Session Organizers: Prof. Peng Lu, China Agricultural University | Prof. Bo Liu, Tianjin University

Abstract

Under the "dual-carbon" goalsandtheaccelerated development of a new-type power system, the high penetration of renewable energy on the supply side and the continuous electrification on the demand side pose multiple challenges to grid operation, including strengthened carbon constraints, insufficient flexible regulating resources, and intensified spatiotemporal imbalances.

Microgrid clusters centered on distributed renewables, energy storage, and controllable loads feature deep source –network –load – storage coordination and low-carbon, flexible operation, making them key units for ensuring grid stability and carbon reduction. However, microgrid clusters are characterized by structural heterogeneity, strong operational autonomy, and complex interactions, rendering traditional centralized control inadequate in terms of real-time performance, reliability, and scalability. To meet stability requirements under carbon constraints, it is imperative to develop multi-agent distributed cooperative control technologies. Through information exchange and coordinated decision-making, microgrid clusters can actively support the main grid: in frequency regulation, leveraging the fast power response of storage and adjustable loads to enhance system frequency support; in voltage regulation, coordinating inverter-based sources and flexible resources to improve voltage stability and reactive power support in weak grids; and in peak shaving, jointly optimizing source –load – storage scheduling and inter-microgrid coordination to reduce peak –valley differences and carbon intensity. Meanwhile, under imperfect communication, operational uncertainties, and coupled carbon constraints, key challenges remain in ensuring the stability, convergence,and engineering feasibility of distributed cooperative control, warranting systematic research and demonstration.

Paper submission deadline: April 30, 2026

Session Organizers: Assoc. Prof. Fangyuan Si, Beijing Jiaotong University | Assoc. Prof. Fengzhang Luo, Tianjin University | Research Prof. Hao Xiao, Chinese Academy of Sciences

Abstract

The global transition toward sustainable energy ecosystems has accelerated the integration of high-penetration Distributed Energy Resources (DERs), such as rooftop photovoltaics, energy storage systems, and electric vehicle (EV) charging infrastructures, into modern distribution networks. Especially within industrial and commercial sectors, these decentralized assets are transforming traditional passive grids into active, bidirectional systems. However, the stochastic nature of renewable generation and the dynamic behavior of modern loads introduce significant technical hurdles, including voltage fluctuations, power quality degradation, and increased operational complexity.To address these challenges, there is an urgent need for innovative frameworks that leverage advanced sensing, data-driven modeling, and intelligent control. This special session aims to bridge the gap between theoretical research and industrial application by focusing on the synergetic interaction between "Source-Grid-Load-Storage." We welcome contributions exploring resilient architecture, flexible resource dispatching, and digital-twin-enhanced management. By fostering cross-disciplinary collaboration, we seek to provide robust solutions for the efficient and secure operation of future distribution systems in the era of intelligence.

Topics including but not limited to: 1. New Distribution System Evolution and Architectural Planning 2. AI and Digital Twin for Distributed Energy Systems 3. Intelligence-Driven Flexible Networking and Active Dispatch 4. Virtual Power Plant Operation and Grid Interaction 5. Distribution Network Resilience and Self-healing Control 6. Transmission-Distribution Synergistic Interaction Theory 7. Integrated Management of Multi-energy Complementarity 8. Multi-dimensional Assessment of Network Hosting Capacity 9. Green Power Trading and Electricity Market Design 10. Distributed Source-Load-Storage Collaborative Control

Paper submission deadline: April 30, 2026

Session Organizers: Dr. Guoqing Gao, Aalborg University | Assoc. Prof. Leijiao Ge, Tianjin University | Dr. Qi Wang and Dr. Zipeng Liang, The Hong Kong Polytechnic University | Dr. Yuanxing Xia, Hohai University | Dr. Yuji Zeng, City University of Hong Kong

Abstract

The global transition towards carbon neutrality has significantly accelerated the integration of renewable energy sources into modern power grids. Consequently, renewable-rich microgrids and integrated energy systems have emerged as critical infrastructures to facilitate the reliable and efficient utilization of distributed energy resources, including solar, wind, energy storage, and green hydrogen. However, the high penetration of power electronics and the inherent intermittency of renewables introduce unprecedented challenges regarding system stability, protection, situational awareness, and optimal energy management.

Bridging the gap between lower-level physical control and upper-level economic optimization is essential for the sustainable development of future grids. Therefore, this Special Session aims to provide a premier platform for researchers and engineers to explore state-of-the-art methodologies and emerging technologies in the modern power sector. We invite original research that leverages advanced control theories, artificial intelligence, data-driven analytics, and novel market mechanisms to enhance the resilience, efficiency, and flexibility of renewable-dominated energy systems.

Topics including but not limited to: 1. Advanced control, protection, and stability analysis of power electronic-dominated grids 2. AI and data-driven methods for grid situational awareness and forecasting 3. Optimal planning, operation, and control of integrated smart energy systems 4. Energy management and synergistic control of distributed energy storage and hydrogen systems 5. P2P energy trading and novel market mechanisms in active distribution networks 6. Smart meter data analytics and demand-side management 7. Emerging technologies for DC/AC microgrids and multi-energy networks

Paper submission deadline: April 30, 2026

Session Organizers: Dr. Shuailong Dai, National Energy System Operator | Dr. Yulin Liu, The Hong Kong Polytechnic University (PolyU) | Dr. Zifan Lin, Curtin University | Dr. Yixin Li, Ove Arup & Partners International Ltd | Dr. Xiang Zhang, State Grid Liaoning Electric Power Co. | Prof. Herbert Ho Ching Iu, University of Western Australia

Abstract

The rapid integration of inverter-based resources (IBRs), such as wind power, photovoltaic systems, and battery energy storage, is fundamentally transforming modern power systems. While these technologies enable cleaner and more flexible grids, they also introduce new dynamic behaviors due to their fast-acting control systems. One of the most critical emerging challenges is sub-synchronous oscillation (SSO) caused by complex control interactions among IBRs, synchronous machines, and network components.

Unlike traditional SSO phenomena dominated by turbine-generator shaft dynamics, IBR-induced SSO is primarily driven by control loops, phase-locked loops, and grid-following or grid-forming strategies. These interactions can lead to poorly damped or even unstable oscillatory modes, especially in weak grids or systems with high penetration of power electronics. In addition, AC–DC and DC–AC power conversion interfaces play a critical role in shaping system dynamics, where advanced control strategies can significantly influence stability and oscillatory behavior. Recent field incidents have demonstrated that such oscillations can propagate across wide areas, posing serious risks to system stability and reliability.

This special session aims to bring together researchers and industry experts to explore the mechanisms, modeling, analysis, and mitigation of control interaction and IBR-induced SSO. Topics of interest include, but are not limited to: 1.Small-signal and impedance-based stability analysis 2.Interaction between multiple converters 3.Impact of grid strength and network topology 4.Advanced control design for damping oscillations 5.Grid-following/grid-forming control 6.Real-world case studies 7.Hardware-in-the-loop or field validation 8.Advanced control of power conversion interfaces and their impact on system-level stability By fostering discussion on these critical issues, this session seeks to advance understanding and promote practical solutions for ensuring stable and resilient future power systems.

Paper submission deadline: April 30, 2026

Session Organizers: Asscioate Researcher Cun Zhang, Tianjin University | Dr. Xi Zhang, China Electric Power Research Institute | Prof. Wei Du, State Grid Electric Power Research Institute (SGEPRI) | Assoc. Prof. Xingyu Yan, Southeast University | Assoc. Prof. Changsen Feng, Tongji University | Dr. Peng Bao, Zhengzhou University

Abstract

The rapid liberalization of electricity markets and the proliferation of distributed energy resources have necessitated a shift from passive consumption to active, market-driven demand response. Under the volatile price signals of spot market conditions, the ability of demand-side resources to interact intelligently with the grid is critical for maintaining system balance and enhancing economic efficiency. This special session focuses on the mechanisms and technologies that enable seamless coordination between the grid and various edge-side assets.

Central to this discussion is the emergence of New Energy Sites and the transformation of telecommunication infrastructure, where 5G Base Stations act as flexible thermal and electrical loads capable of providing large-scale frequency regulation. To manage these dispersed assets, the session explores the integration of Power-Computing Coordination, leveraging data centers and edge computing to synchronize energy flow with information flow in real-time. Furthermore, the role of Virtual Power Plants (VPPs) is highlighted as a primary aggregator to bridge the gap between small-scale flexibility and wholesale market participation. By addressing challenges in real-time sensing, bidding strategies, and multi-resource optimization, this session aims to foster a more resilient and cost-effective power ecosystem in the era of market-driven intelligence.

Topics of interest include, but are not limited to: 1.Bidirectional Interaction Mechanisms Under Spot Market Price Signals 2.Optimal Scheduling and Trading Strategies for Virtual Power Plants 3.Energy-Saving and Grid-Support Potential of 5G Base Stations 4.Theory and Practice of Power-Computing Coordination in Smart Grids 5.Design and Operation Strategies for New Energy Sites 6.Demand-Side Flexibility Assessment and Market Bidding Models 7.AI-Driven Real-time Demand Response and Edge Computing Applications 8.Peer-to-Peer (P2P) Energy Trading and Blockchain for Demand Resources 9.Stability Analysis of Grid-Resource Interaction Under High Volatility 10.Integrated Management of Multi-Energy Microgrids and Demand-Side Assets 11.Coordinated Management and Aggregation of VPP Comprising Diverse Flexible Resources and Novel Digital Loads

Paper submission deadline: April 30, 2026

Session Organizers: M.S. Jianqiu Zhang, Hebei University of Water Resources and Electric Engineering | Assoc. Prof. Xiping Wang, Hebei University of Water Resources and Electric Engineering | Dr. Xiangxiang Liu, Tianjin University of Commerce | Dr. Qiaoxuan Zhang, Institute of Microelectronics, Chinese Academy of Sciences (CAS) | Dr. Sihang Wu, Tsinghua University

Abstract

With the global transition toward low-carbon and sustainable energy systems, photovoltaic generation, high-power conversion systems, and grid-connected as well as grid-forming converters are being deployed on an unprecedented scale. As essential interfaces for energy conversion, power regulation, and flexible system support, power electronic converters play an increasingly critical role in modern power systems. Under such trends, the reliability of power electronic converters has become a key concern in both device-level design and system-level operation, especially as long-term service performance is increasingly affected by complex mission profiles, harsh operating environments, cyclic loading conditions, and multi-physics coupling effects.

Typical reliability challenges include junction temperature fluctuation, thermo-mechanical stress accumulation, packaging degradation, solder fatigue, and fault evolution in semiconductor devices and converter subsystems. These issues not only influence converter lifetime and maintenance cost, but also affect system availability, operational security, and overall energy efficiency. Meanwhile, recent advances in artificial intelligence, data-driven modeling, physics-informed learning, digital twins, and intelligent condition monitoring have created new opportunities for converter health assessment, lifetime prediction, and fault diagnosis. By integrating AI techniques with reliability theory and degradation mechanisms, it is possible to improve prognostics, identify incipient faults, optimize maintenance strategies, and support reliability-oriented operation of power electronic equipment.

Topics of interest include, but are not limited to: 1.Reliability modeling and evaluation of high-power power electronic converters 2.Lifetime prediction of IGBT, SiC, and GaN devices and converter subsystems 3.Junction temperature fluctuation, thermo-mechanical stress, and degradation analysis 4.Packaging reliability, solder fatigue, and failure mechanisms of power devices 5.AI-assisted fault diagnosis for power converters and inverters 6.Physics-informed and data-driven prognostics for converter health management 7.Condition monitoring and remaining useful life estimation of power electronic equipment 8.Reliability studies of photovoltaic inverters, modular multilevel converters, and grid-connected or grid-forming converters

Paper submission deadline: April 30, 2026

Session Organizers: Prof. Haoyong Chen, South China University of Technology (SCUT) | Prof. Xiao-Ping Zhang, University of Birmingham | Dr. Zhenjia Lin, The Hong Kong Polytechnic University | Dr. Minglei Bao, Zhejiang University | Dr. Yuxiang Huang, Guangzhou Development Group | Assoc. Prof. Bifei Tan, Wuyi University

Abstract

The global transition toward carbon neutrality is driving profound structural changes in modern power systems. The large-scale integration of renewable energy, distributed energy resources (DERs), virtual power plants (VPPs), electric vehicles, and flexible loads is fundamentally reshaping market participation structures and regulatory boundaries. Against this backdrop, traditional market rules and governance frameworks — designed for centralized, fossil-fuel-dominated systems — are increasingly inadequate to address the complexity and dynamics of emerging power system paradigms.

New challenges have emerged across multiple dimensions. Price signals fail to reflect real-time system flexibility needs. Incentive structures remain misaligned with low-carbon and demand-side objectives. Market access barriers restrict the effective participation of distributed and aggregated resources. Meanwhile, the coordination across energy, ancillary service, and carbon markets remains fragmented, undermining overall system efficiency and market fairness.

This special session invites contributions that advance market mechanism design, regulatory reform, and governance innovation for new-type power systems. We welcome interdisciplinary research integrating economic modeling, Tinstitutional analysis, engineering methods, and policy evaluation. Topics of interest include, but are not limited to: 1.Electricity Spot Market Design and Pricing Mechanism Reform 2.Virtual Power Plant Market Participation Rules and Aggregation Mechanism Design 3.Ancillary Service Market Innovation for High-Penetration Renewable Systems 4.Demand Response Market Mechanisms and Flexible Load Incentive Design 5.Carbon Market Integration and Cross-Market Coordination Mechanisms 6.Green Electricity and Certificate Trading Mechanism Design 7.Regulatory Reform and Performance-Based Incentives for Distribution Network Operators 8.V2G Integration: Market Barriers, Institutional Design, and Commercialization Pathways 9.Local Energy Markets, Peer-to-Peer Trading, and Community Energy Governance 10.Market Transparency, Data Governance, and Digital Platform Regulation

Paper submission deadline: April 30, 2026

Session Organizers: Dr. Xu Liu, Imperial College London | Assoc. Prof. Di Wu, North China Electric Power University | Dr. Yanyan Yin, Curtin University | Dr. Yanqing Liu, Curtin University | Dr. Qingwen Pang, Imperial College London | Assoc. Prof/Visiting Researcher Meiheriayi Mutailipu, Xinjiang University/Imperial College London| Dr. Yusan Turap, Xinjiang University | Dr. Jianbin Wang, China Southern Power Grid

Abstract

The rapid transition toward low-carbon energy systems and the increasing penetration of distributed renewable resources have significantly enhanced the complexity of modern energy networks. Distributed energy systems (DES), integrating renewable generation, flexible loads, and multi-energy storage technologies, are emerging as key enablers for sustainable and resilient energy infrastructures. However, their efficient planning and operation face critical challenges due to multi-timescale dynamics, heterogeneous energy carriers, and conflicting objectives such as economy, reliability, and environmental performance.

This special session focuses on multi-timescale modeling and multi-objective collaborative planning of distributed energy systems based on multi-element energy storage. By incorporating diverse storage forms (e.g., electrical, thermal, and hydrogen storage) and considering interactions across different temporal and spatial scales, the session aims to advance methodologies for coordinated optimization, flexible operation, and system-level integration. Contributions addressing theoretical developments, advanced optimization techniques, data-driven methods, and real-world applications are highly encouraged.

Topics of interest include, but are not limited to: 1.Multi-timescale modeling of distributed energy systems 2.Coordinated planning of multi-energy systems with hybrid storage 3.Multi-objective optimization for energy, economy, and emissions 4.Integrated electricity-heat-hydrogen energy systems 5.Active control and scheduling of multi-element energy storage 6.Data-driven and AI-based planning methods for DES 7.Flexibility enhancement and resilience analysis in energy systems

Paper submission deadline: April 30, 2026

Session Organizers: Research Associate Haobo Zhang, Cardiff University | Research Associate Suhan Zhang, University of Sheffield | Assoc. Prof. Zening Li, Taiyuan University of Technology | Assoc. Prof. Chuanliang Xiao, Shandong University of Technology | Prof. Gaoqi Liang, Harbin Institute of Technology, Shenzhen

Abstract

The ongoing transition toward power-electronics-dominated power systems introduces significant challenges for maintaining system stability, reliability, and operational flexibility. Grid-forming (GFM) technologies have emerged as promising solutions to provide voltage and frequency support in converter-dominated grids with high shares of inverter-based resources. However, their practical deployment across transmission systems and active distribution networks remains limited. Existing research has largely focused on converter-level control design under specific operating conditions, while broader system-level challenges such as large-disturbance performance, resilience enhancement, and interactions among multiple converters remain insufficiently explored. Meanwhile, the rapid growth of renewable energy and emerging multi-energy systems further increases operational complexity. These developments highlight the need for integrated approaches that consider stability support from GFM resources together with system planning, coordination, and resilient operation in future low-inertia power systems.

This Special Issue aims to advance the understanding and application of grid-forming technologies beyond conventional control design toward system-level integration and optimization. In particular, it seeks contributions that investigate how GFM resources can enhance stability and resilience in converter-dominated grids while supporting large-scale renewable integration. The Special Issue also encourages studies that link GFM deployment with planning and allocation strategies, optimization-based operational frameworks, and coordinated energy management across transmission systems, active distribution networks, and emerging multi-energy infrastructures. In addition, perspectives from cyber-physical energy systems are welcomed to better understand the interactions between power electronics control, communication networks, and system operation.

Topics of interest include, but are not limited to: • Advanced grid-forming technologies for inverter-based resources • Stability analysis and control of converter-dominated power systems • Resilience enhancement using grid-forming converters • Renewable integration supported by grid-forming capabilities • Modeling and analysis of cyber-physical energy systems involving grid-forming resources • Coordination of distributed energy resources in active distribution networks • Planning, allocation, and optimization of grid-forming resources • Grid-forming technologies in multi-energy systems and integrated energy infrastructures

Paper submission deadline: April 30, 2026

Session Organizers: Dr. Muyao Wu, Hefei University of Technology | Dr. Liang Feng, Shandong University of Technology | Dr. Zhengfa Zhang, University of Tennessee, Knoxville

Abstract

The large-scale integration of electric vehicles (EVs) and distributed energy storage systems (DESSs) is fundamentally reshaping modern power distribution networks. While offering flexibility and decarbonization potential, the uncoordinated operation of EVs and storage units introduces significant challenges, including voltage violations, feeder congestion, and accelerated battery degradation. Effective interaction among vehicles, storage, and the grid—forming a Vehicle-Storage-Grid (VSG) system—is therefore critical for achieving both economic and technical efficiency.This VSG framework requires a holistic approach that spans battery system lifecycle management (from health-aware charging to second-life utilization), steady-state distribution network optimization (e.g., voltage control and loss minimization), and real-time bidirectional power coordination. Unlike conventional grid-to-vehicle (G2V) approaches, advanced VSG control strategies enable vehicle-to-grid (V2G) and storage-to-grid (S2G) services, transforming EVs and stationary batteries into active grid-supporting assets. However, practical implementation faces key challenges: balancing battery aging constraints with grid service revenues, ensuring voltage stability under high renewable penetration, and coordinating heterogeneous distributed resources with low communication overhead.

Topics of interest include, but are not limited to: 1.Coordinated voltage regulation in distribution networks using EV and storage flexibility under steady-state conditions 2.Health-aware V2G/V2H (vehicle-to-home) strategies that integrate battery degradation models into dispatch optimization 3.Data-driven and distributed control (e.g., multi-agent reinforcement learning, ADMM) for VSG systems 4.Second-life battery integration from retired EV packs into stationary storage for grid support 5.Economic and market frameworks for aggregated VSG resources participating in ancillary services

Paper submission deadline: April 30, 2026

Session Organizers: Dr. Ge Chen, Great Bay University | Assoc. Prof. Yi Su, Xiangtan University University | Dr. Xueshen Zhao, Shandong University of Technology | Dr. Pengfei Su, Great Bay University

Abstract

Under the "Dual Carbon" targets, the power system is undergoing a profound transformation characterized by high renewable energy penetration. The integration of large-scale intermittent generation necessitates enhanced grid flexibility. Demand Side Resources (DSRs)—encompassing controllable industrial loads, distributed energy storage, electric vehicles (EVs), and user-side distributed generation—are increasingly recognized as critical alternatives to traditional supply-side regulation. However, effectively harnessing these resources is fraught with challenges due to their massive scale, heterogeneous characteristics, and stochastic behaviors. Traditional management frameworks often struggle to cope with the high dimensionality and real-time response requirements inherent in modern DSRs.

This special session explores how Artificial Intelligence (AI) serves as a transformative force in enhancing demand side flexibility and resource management. We aim to provide a comprehensive platform for discussing AI-driven solutions that span the entire value chain of DSR management. The scope covers advanced topics such as deep learning for precise load forecasting, reinforcement learning for real-time scheduling, and multi-agent systems for virtual power plant aggregation. Furthermore, we emphasize the role of AI in facilitating market participation through intelligent bidding strategies and addressing critical issues like data privacy and cybersecurity. We invite researchers and practitioners to submit cutting-edge contributions that address theoretical breakthroughs, algorithmic innovations, and practical applications. Ultimately, this session seeks to foster interdisciplinary collaboration to accelerate the development of a more flexible, resilient, and intelligent power ecosystem.

Topics of interest include, but are not limited to: 1.AI for Advanced Load Forecasting and User Behavior Modeling 2.Intelligent Aggregation and Virtual Power Plant Operation Strategies 3.Deep Reinforcement Learning for Flexible Resource Scheduling 4.AI-Driven Bidding Strategies and Market Participation for DSRs 5.Smart Charging, V2G Integration, and EV Fleet Management 6."Computing-Power" Synergy and Flexible Management of Data Centers 7.Demand Side Response and Interaction Mechanisms in Smart Grids 8.Carbon-Aware Optimization and Low-Carbon Operation of DSRs 9.Digital Twin and Big Data Analytics for Demand Side Management 10.Cybersecurity, Privacy Protection, and Trustworthy AI in Energy Systems

Paper submission deadline: April 30, 2026

Session Organizers: Dr. Guofeng Wang, Zhejiang University of Technology | Assoc. Prof. Jiayu Han, Zhejiang University of Technology | Assoc. Prof. Hui Li, Dalian University of Technology | Assoc. Prof. Junyi Zhai, China University of Petroleum (East China) | Dr. Yi Yang, China Three Gorges University | Dr. Tao Wu, Chongqing University

Abstract

With the accelerating transition toward carbon neutrality, integrated energy systems are becoming a key enabler for the efficient utilization and coordinated management of multiple energy carriers. In particular, the integration of hydrogen technologies into multi-energy systems provides new opportunities for enhancing renewable energy accommodation, improving system flexibility, and reducing carbon emissions. Electricity-hydrogen integrated energy systems, characterized by the coupling of electricity, heating, cooling, gas, storage, and hydrogen, are emerging as a promising paradigm for future low-carbon energy infrastructures.

However, the increasing penetration of renewable generation, the strong coupling among heterogeneous energy networks, and the multi-timescale dynamics of energy conversion and storage devices bring significant challenges to system planning, operation, and control. Advanced methods are urgently needed for low-carbon optimization, coordinated dispatch, uncertainty management, and intelligent operation of electricity-hydrogen integrated energy systems.

This special session aims to provide a forum for researchers and practitioners to exchange the latest advances in modeling, optimization, and management of electricity-hydrogen integrated energy systems. Contributions are welcomed on both theoretical developments and practical applications related to the low-carbon, flexible, resilient, and intelligent operation of future integrated energy systems.

Topics of interest include, but are not limited to: 1.Low-carbon planning and optimal operation of electricity-hydrogen integrated energy systems 2.Coordinated management of electricity, heat, cooling, gas, storage, and hydrogen subsystems 3.Renewable energy integration and flexible utilization in integrated energy systems 4.Source-grid-load-storage-hydrogen coordinated dispatch and optimization 5.Multi-energy flow modeling and energy hub analysis 6.Demand response and flexible resource scheduling in integrated energy systems 7.Carbon-aware dispatch and emission reduction strategies for multi-energy systems 8.Robust, stochastic, and data-driven optimization under uncertainty 9.AI-enabled, digital twin, and intelligent control methods for integrated energy systems 10.Resilience enhancement, techno-economic assessment, and low-carbon evaluation of integrated energy systems

Paper submission deadline: April 30, 2026

Session Organizers: Dr. Ruiyang He, Cardiff University | Dr. Yuzhou Zhou, Xi’an Jiaotong University | Dr. Yunqi Wang, RMIT University | Dr. Xiaodong Zheng, South China University of Technology | Dr. Liang Qian, Shanghai University of Electrical Power

Abstract

The transition towards highly renewable and largely electrified energy systems requires systematic approaches to quantify, coordinate and deploy flexibility across multiple temporal and spatial scales. As variable renewable generation increases, system operation is increasingly constrained by uncertainty, network congestion and prolonged supply shortfalls. This creates a critical need to move beyond isolated flexibility resources and towards coordinated frameworks that integrate demand, storage and sector-coupled assets.

This special session focuses on modelling, optimisation and operational strategies for coordinated flexibility provision in power systems with high renewable penetration. Emphasis is placed on capturing the dynamic interactions among diverse flexibility sources, including demand response, battery and hydrogen-based storage, electric vehicles, and distributed energy resources aggregated through Virtual Power Plants and other platforms. Contributions are expected to address both system-level impacts and operational mechanisms, using high-resolution data and advanced optimisation or simulation methods.

Topics of interest include, but are not limited to: 1.Quantification and valuation of multi-source flexibility in power system operation and planning 2.Modelling of coordinated demand, storage and network-constrained flexibility 3.Integration of long-duration energy storage, including hydrogen-based systems, in system operation 4.Control and optimisation of aggregators, Virtual Power Plants, and peer-to-peer coordination frameworks 5.Impacts of flexibility provision on network constraints, reliability and system costs 6.Market design, policy instruments and business models enabling flexibility deployment

Paper submission deadline: April 30, 2026

Session Organizers: Assoc. Prof. Yunyang Zou, Chongqing University | Assoc. Prof. Heling Yuan, Dalian University of Technology | Dr. Sufan Jiang, Nanyang Techonological University | Prof. Guangzheng Yu, Shanghai University of Electric Power | Prof. Chuan He, Sichuan University

Abstract

The increasing integration of distributed energy resources has made power system operation significantly more complex, introducing a vast number of heterogeneous participating entities. Traditional centralized dispatch approaches that primarily focus on the supply side are increasingly struggling to maintain power balance under such conditions. This transition necessitates the development of hierarchical electricity markets, including wholesale, retail, and local electricity markets, to better incentivize demand-side entities (e.g., load aggregators, prosumers) to actively contribute to system balancing. Meanwhile, the transition toward low-carbon power systems also introduces new challenges for system stability and reliability. These emerging operational needs call for the coordinated development of ancillary service markets, capacity markets, and flexibility markets to ensure secure and resilient grid operation. This special session aims to provide market regulators and policy makers with insights on market mechanism design to support power system operation under high renewable penetration. It also seeks to offer decision-support tools to guide market participants capture multiple value streams across these markets.

The session organizers warmly invite researchers and practitioners to submit original research papers on, but not limited to, the following topics: 1.Design, clearing, and settlement of electricity markets 2.Ancillary service, flexibility, and capacity markets under high renewable penetration 3.Operation approaches for aggregators and virtual power plants 4.Bidding strategies for multi-market participation 5.Data-driven and AI-enabled approaches for market operations and participation 6.Assessment and enhancement of market efficiency 7.Forecasting of electricity demand, market prices and competitor behaviors 8.Detection and mitigation of market power

Paper submission deadline: April 30, 2026

Session Organizers: Dr. Ning Wang, Aalborg University | Dr. Chaochao Song, Aalborg University | Dr. Yuyang Wan, Tsinghua University | Prof. Chao Deng, Nanjing University of Posts and Telecommunications | Assoc. Prof. Ping Lin, Dalian University of Technology

Abstract

Future power networks are undergoing a profound transformation with the increasing penetration of renewable generation, electrified transportation, distributed storage, mobile energy resources, and digitalized control technologies. In this evolving landscape, flexible interaction among power converters, energy resources, network infrastructures, and end users is becoming a key enabler for improving efficiency, resilience, sustainability, and operational adaptability. At the same time, the growing coupling between physical networks, market mechanisms, and user behavior requires more intelligent management frameworks capable of coordinating heterogeneous resources across multiple temporal and spatial scales. Recent studies have shown that emerging resources such as electric vehicles, mobile energy storage systems, and data centers can provide representative examples of this transition, while advanced optimization, hierarchical coordination, incentive design, and data-driven control are opening new possibilities for reliable and efficient network operation. This special session aims to provide a broad forum for original contributions on the theories, technologies, and applications that support the flexible interaction and intelligent management of future power networks. Contributions are welcome from both power electronics and power systems communities, including but not limited to converter technologies, grid-interactive devices, coordinated control, energy management, intelligent optimization, resilient operation, and interdisciplinary solutions for emerging energy applications.

Paper submission deadline: April 30, 2026

Session Organizers: Assoc. Prof. Jin Tan, Shanghai University of Electric Power | Dr. Qiang Xing, Nanjing University of Post and TeleCommunications | Dr. Junjie Zhong, Changsha University of Science & Technology | Assoc. Prof. Yafei Yang, Shaanxi University of Science and Technology | Dr. Qilin Shuai, Beijing Normal University

Abstract

The rapid expansion of wind and photovoltaic (PV) power has created significant opportunities for green hydrogen production, while also introducing substantial challenges to the efficient and stable operation of electrolyzer systems. Due to the intermittency, volatility, and uncertainty of renewable energy, electrolyzers are required to operate under highly dynamic input conditions, which may affect hydrogen production efficiency, operational flexibility, and system durability. Therefore, advanced methodologies for modeling, operation, control, and energy management of wind-PV-driven electrolyzer systems are becoming increasingly important for the development of sustainable hydrogen production technologies.

This special session focuses on multi-timescale modeling, operational optimization, control strategies, and energy management of electrolyzer systems powered by wind and PV energy. By considering the dynamic characteristics of renewable power, the transient response and degradation behavior of electrolyzers, and the coordinated interaction between power supply and hydrogen production processes across different temporal scales, the session aims to advance methodologies for flexible operation, adaptive control, and efficient system-level management. Contributions addressing theoretical developments, advanced optimization techniques, data-driven methods, and practical applications are highly encouraged.

Topics of interest include, but are not limited to: 1. Multi-timescale modeling of wind-PV-powered electrolyzer systems 2. Dynamic behavior and degradation-aware modeling of electrolyzers 3. Operational optimization under fluctuating renewable energy inputs 4. Control strategies for flexible, efficient, and stable hydrogen production 5. Energy management and coordinated scheduling of renewable-powered electrolyzer systems 6. Predictive, adaptive, and data-driven control methods 7. Practical applications and demonstration studies of wind-PV hydrogen production systems.

Paper submission deadline: April 30, 2026

Session Organizers: Dr. Daogui Tang, Wuhan University of Technology | Assoc. Prof. Yizhou Zhou, Hohai University | Assoc. Prof. Xinyu Wang, Yanshan Univeristy | Assoc. Prof. Dong Zhang, Dalian Maritime University | Assoc. Prof. Shuli Wen, Shanghai Jiao Tong University

Abstract

The transition toward carbon neutrality is accelerating the electrification and digitalization of maritime systems, leading to the deep integration of ports, vessels, and transportation infrastructures into interconnected maritime energy systems. These systems incorporate multiple energy carriers, including electricity, hydrogen, and alternative fuels, and play a critical role in enabling sustainable shipping and logistics. However, the high penetration of renewable energy, strong coupling between energy and logistics flows, and increasing exposure to extreme weather and cyber-physical threats introduce significant challenges in system operation, stability, and resilience.

Ensuring the reliable and efficient operation of such complex systems requires advanced control, coordinated energy management, and resilience-oriented methodologies. In particular, bridging multi-timescale dynamics, integrating heterogeneous energy subsystems, and enhancing system adaptability under uncertainty remain open research challenges.

This Special Session aims to provide a platform for researchers and practitioners to present recent advances in intelligent control, optimization, and resilience enhancement of integrated maritime energy systems. Contributions addressing both theoretical developments and real-world applications in smart ports and green shipping are highly encouraged.

Topics of interest include, but are not limited to: 1. Modeling and operation of integrated maritime energy systems 2. Intelligent control and optimization of multi-energy systems 3. Energy management for electric and hybrid vessels 4. Coordination between port and ship energy systems (e.g., shore power) 5. Resilience under extreme weather and operational uncertainties 6. Cyber-physical security, including attack detection and defense 7. Energy–logistics coupling and electrified transportation systems

Paper submission deadline: April 30, 2026

Session Organizers: Prof. Qisheng Huang, Harbin Institute of Technology, Shenzhen | Dr. Tingting Dong, The HongKong University of Science and Technology | Dr. Wenlong Liao, Southeast University | Assoc. Prof. Xiangxiang Wei, Xi'an University of Technology | Dr. Yihong Zhou, University of Oxford | Dr. Yitong Shang, The Hong Kong University of Science and Technology

Abstract

The global transition toward renewable energy and the rapid development of intelligent transportation systems are fundamentally reshaping urban infrastructure. As distributed energy resources (DERs), electric vehicles (EVs), AI data centers, and other flexible loads become increasingly prevalent, the interdependencies between power networks and transportation systems grow ever more complex. Addressing these challenges requires interdisciplinary expertise spanning power system optimization, electricity market design, transportation engineering, and artificial intelligence.

This special session brings together researchers at the frontier of smart energy and transportation systems to explore AI-driven modeling, optimization, and decision-making frameworks. Topics of interest include, but are not limited to: electricity market mechanisms and power system economics; renewable energy integration and load forecasting using machine learning; optimization of transportation networks and emerging mobility systems such as ride-hailing and autonomous vehicles; scheduling and pricing strategies for electric vehicles and other flexible loads; protection and resilience of distribution networks under high renewable energy penetration; cybersecurity in smart grid environments; uncertainty-aware optimization for DERs and AI data centers as flexible grid assets; and coordinated planning and operation of energy-transportation networks in smart city contexts.

By fostering cross-disciplinary dialogue among experts in power engineering, transportation engineering, and computer science, this session aims to advance innovative solutions bridging the energy-mobility nexus and to contribute to the sustainable development of smart cities. Contributions addressing both theoretical foundations and practical implementations are welcomed.

Paper submission deadline: April 30, 2026

Session Organizers: Prof. Lihong Xie, Nanjing University of Aeronautics and Astronautics | Prof. Bo Gao, East China Jiaotong University | Assoc. Prof. Kai Wang, China University of Mining and Technology | Assoc. Prof. Yu Wang, Guangdong University of Technology | Dr. Chuan Sun, Macau University of Science and Technology | Assoc. Prof. Shanglong Li, East China Jiaotong University

Abstract

With the large-scale integration of high-penetration renewable energy, advanced power electronics technologies, such as grid-forming converters, solid-state transformers, and modular multilevel converters, are crucial for enhancing system flexibility, dynamic stability, efficiency, and power quality. However, high-penetration grids exhibit characteristics such as low inertia, weak grid strength, and multi-timescale dynamics, against which traditional control methods face deficiencies in adaptability, coordination, and disturbance resistance.

Therefore, there is an urgent need to develop next-generation power electronics technologies with grid-support, black-start, and multi-device coordination capabilities. Through real-time sensing and adaptive control, these technologies can provide synthetic inertia and primary frequency response for frequency regulation, achieve dynamic reactive power compensation and impedance reshaping for voltage regulation, implement active filtering and impedance enhancement for oscillation suppression, and improve voltage levels and power density through modular series-parallel connections in high-voltage and high-power scenarios. Meanwhile, under conditions of low inertia, time-varying grid impedance, and communication delays, key challenges remain in ensuring the system stability, fault tolerance, and system-level interoperability of advanced power electronics solutions, warranting systematic research and demonstrations.

Topics including but not limited to: 1. Grid-Forming and Grid-Following Control for System Stability 2. Model and Control of DC-DC Converters 3. Novel Topologies and Control Methods for Advanced Power Electronic Systems 4. Fundamental and Practical Advancements of Power Electronics Semiconductor Devices 5. Wide-Band Oscillation Suppression via Active Filtering and Impedance Shaping 6. Fault-Tolerant Control and System-Level Reliability 7. Dynamic Voltage and Reactive Power Support in Weak Grids 8. Multi-Device Coordination and Scalability in Complex Grids 9. Hardware Design and Integration of Renewable Energy Systems 10. High-Voltage and High-Power Conversion and Application