Paper submission deadline: April 10, 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 10, 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 10, 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 10, 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 10, 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 10, 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 10, 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 10, 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 10, 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