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Special Sessions

 
Special Session I: Resilience enhancement strategy of power system against extreme events 电力系统应对极端事件的弹性增强策略

Chair

Assoc. Prof. Chuan He, Sichuan University, China
何川 副教授, 四川大学


Vice Chair

Assoc. Prof. Lu Nan, Sichuan University, China
南璐 副教授, 四川大学

In the face of an increasingly unpredictable climate and the rising frequency of extreme weather events, ensuring the resilience of power systems has become a paramount concern for utilities, governments, and researchers. Power system resilience refers to the ability of the grid to withstand, adapt to, and rapidly recover from disruptive events, minimizing the impact on electricity supply and maintaining critical services. This special session covers different comprehensive resilience enhancement strategies to address the challenges posed by extreme events. 面对日益不可预测的气候和日益频繁的极端天气事件,确保电力系统的弹性已成为公用事业、政府和研究人员最关心的问题。电力系统弹性是指电网承受、适应和迅速从破坏性事件中恢复的能力,最大限度地减少对电力供应的影响,并维持关键服务。本次特别会议涵盖了应对极端事件挑战的不同综合增强韧性战略。


 

Related Topic征稿相关主题:
1) Fault modeling and fault propagation mechanism under extreme events 极端事件下的故障建模与故障传播机制;
2) Resilience evaluation of new-type power system 新型电力系统弹性评估;
3) Power system planning against extreme events 针对极端事件的电力系统规划;
4) Power system operation during extreme events 极端事件下电力系统运行;
5) Optimal restoration of power system after extreme events 极端事件后电力系统的最优恢复;;
6) AI-based applications for improving power system resilience 提高电力系统弹性的人工智能应用.




Special Session II: Energy-Transport Nexus in the Dual Carbon Era 双碳目标下的能源-交通耦合

Chair

Prof. Sheng Chen, Hohai University, China
陈胜 教授, 河海大学

Vice Chair

Assoc. Prof. Si Lv, Nanjing University of Posts and Telecommunications, China
吕思 副教授, 南京邮电大学


Vice Chair

Assoc. Prof. Chuanshen Wu, Hohai University, China
吴传申 副教授, 河海大学

Dual Carbon targets are fundamentally reshaping our urban infrastructure, with the coupling between the energy and transportation sectors emerging as a critical frontier. This nexus is primarily driven by the rapid proliferation of clean energy vehicles (particularly Battery Electric Vehicles and Fuel Cell Electric Vehicles) and their associated energy-refueling infrastructure. Unlike independent systems, the integrated energy-transport network exhibits complex interdependencies: spatiotemporal refueling demands transform traffic patterns into significant electrical/hydrogen loads, while the availability and pricing of energy-refueling stations directly influence travel behaviors. This deep interconnection necessitates a paradigm shift from siloed planning and operation to a holistic co-management approach. This session will delve into the key challenges and opportunities within this coupled system, focusing on synergistic planning for infrastructure deployment, coordinated operation for grid stability, and comprehensive risk assessment to enhance resilience against cascading failures. “双碳”目标正在深刻重塑城市基础设施格局,能源与交通系统的融合发展已成为关键前沿领域。这一趋势主要由清洁能源汽车(特别是纯电动汽车与燃料电池汽车)及其配套充能/补能设施的快速普及所驱动。与传统独立系统不同,能源-交通耦合网络呈现出复杂的相互依存关系:时空分布的补能需求将交通流转化为重要的电/氢负荷,而能源补给设施的布局与定价又直接影响用户的出行行为模式。这种深度耦合要求我们从传统的独立规划运营转向协同治理新范式。本专题将聚焦该耦合系统的核心挑战与机遇,重点探讨基础设施协同规划策略、保障电网稳定的协调运行机制,以及提升系统韧性、防范连锁故障的综合风险评估方法。


 

Related Topic征稿相关主题:
1) Modeling and simulation for Energy-Transport Nexus 面向能源-交通耦合的建模与仿真技术
2) Low carbon operation & planning under Energy-Transport Nexus 能源-交通耦合下的低碳运行与规划技术
3) Mechanism design for stimulating flexibilities under Energy-Transport Nexus 能源-交通耦合下的灵活性挖掘与机制设计
4) Synergy analysis between intelligent transportation system and smart energy system 智慧交通系统与智慧能源系统协同分析
5) Resilience enhancement and vulnerability analysis under Energy-Transport Nexus 能源-交通耦合下的韧性分析与提升技术
6) Cyber-physical analysis under Energy-Transport Nexus 能源-交通耦合下的信息-物理融合分析




Special Session III: Operation, Control and Resilience Enhancement of Novel Distribution Systems with High-Penetration Renewable Energy 高比例可再生能源新型配电系统的运行调控与弹性提升

Chair

Associate Researcher Tengfei Ma, Institute of Electrical Engineering, Chinese Academy of Sciences, China
马腾飞 副研究员, 中国科学院电工研究所

Vice Chair

Assoc. Prof. Hongjun Gao, Sichuan University, China
高红均 副教授, 四川大学

 

 


Vice Chair

Assis. Prof. KENG WENG LAO, University of Macau, China
刘景荣 助理教授, 澳门大学

 


Vice Chair

Haibo Li, Sichuan Energy Internet Research Institute Tsinghua University, China
李海波 副所长, 清华四川能源互联网研究院

The global energy transition is driving the continuous increase in the penetration of renewable energy sources (RES), such as wind and solar photovoltaics, into power distribution systems. Modern distribution systems are thus evolving with new characteristics, including high shares of inverter-based resources, active interplay of source-grid-load-storage, and increased operational flexibility. These developments pose significant challenges to traditional operation and control paradigms, such as managing power fluctuations, ensuring voltage stability, coordinating interests among multiple stakeholders, and enhancing system resilience against extreme events.
This special session aims to bring together researchers, engineers, and industry experts worldwide to exchange innovative ideas, methodologies, and practical technologies concerning the operation and control optimization, multi-agent game theory and coordination, and resilience enhancement of future distribution systems with high-penetration renewables. The goal is to foster the development of safer, more economical, flexible, and resilient distribution networks.
随着全球能源转型的深入推进,以风电、光伏为代表的可再生能源在配电系统中的渗透率持续提高,配电系统逐渐呈现出可再生能源高比例接入、源网荷储互动化、运行方式灵活化等新特征。传统的配电系统运行调控模式面临巨大挑战,包括功率波动性强、电压控制复杂、多主体利益协同困难、极端事件下系统脆弱性增加等。
为此,本专题旨在汇聚全球学者、工程师及行业专家,共同探讨高比例可再生能源接入下新型配电系统在运行调控优化、多主体博弈与协同、弹性与韧性提升等关键领域的创新理论、方法与技术实践,推动配电系统向更安全、更经济、更灵活、更具弹性的方向发展。


 

Related Topic征稿相关主题:
1) Modeling, simulation, and stability analysis of distribution systems with high-penetration RES 高比例可再生能源配电系统的建模与仿真

2) Operational optimization and real-time control strategies for RES-rich distribution systems 适应高比例可再生能源的配电系统运行优化与实时调控策略

3) Game interactions and cooperative optimization among multiple agents (DERs, energy storage, flexible loads, etc.) 分布式能源、储能、柔性负荷等多元主体的博弈互动与协同优化

4) Market-based or price-signal-driven coordination for multi-agent system operation 基于市场机制或价格信号的配电系统多主体协调运行

5) Planning, assessment, and operational strategies for enhancing distribution grid resilience 配电网弹性(韧性)提升规划、评估与运行恢复策略

6) Risk mitigation and resilience enhancement against extreme weather or cyber-physical attacks 极端天气或网络攻击下配电系统的风险防御与弹性增强技术

7) Applications of AI, big data, and digital twins in distribution system operation and control 人工智能、大数据、数字孪生在配电系统运行调控中的应用

8) Policies, market design, and business models for future distribution systems 新型配电系统的政策、市场设计与商业运营模式





Special Session IV: Advanced Technologies for Electrified Transportation and Robotics 先进电气化交通与机器人技术

Chair

Postdoctoral Fellow Yuxin Liu, City University of Hong Kong, HKSAR, China
刘毓鑫 博士后研究员, 香港城市大学

Vice Chair

Postdoctoral Fellow Yong Chen, City University of Hong Kong, HKSAR, China
陈勇 博士后研究员, 香港城市大学

 

 


Vice Chair

Associate Researcher Yongcan Huang, City University of Hong Kong (Dongguan), China
黄永灿 副研究员, 香港城市大学(东莞)

 


Vice Chair

Prof. Chunhua Liu, City University of Hong Kong, HKSAR, China
刘春华 教授, 香港城市大学

 

 

Electric vehicles, aircraft, and advanced robots represent the forefront of mobility and automation. Critical technologies include the electric machine, the power electronic drive, and the charging infrastructure. Their performance directly dictates system capabilities in propulsion strength, operational flexibility, and recharge speed. Achieving the demanding benchmarks of modern applications requires more than incremental improvements. It necessitates machines and drives that simultaneously deliver exceptional power density, high efficiency, and robust fault tolerance. They must also provide uncompromising reliability, all within stringent cost and size constraints. Furthermore, the separation between the drive and the energy source is bridged by charging technologies. Both conductive and wireless charging must evolve to offer seamless, rapid, and intelligent energy replenishment. The greatest opportunity for breakthrough performance lies in integration. Moving beyond the isolated optimization of individual components is key. A co-design philosophy enables revolutionary gains. Here, the motor, converter, controller, and charger are developed as a unified electromechanical system. This approach enhances intelligence, compactness, and resilience. Therefore, this special session focuses on the synergistic development of electric machines, power electronic drives, and integrated system design that push the boundaries of efficiency, power density, intelligence, and reliability. 电动汽车、航空器与先进机器人是移动出行与自动化领域的前沿代表。核心技术包括电机、电力电子驱动器以及充电基础设施。这些技术的性能直接决定了系统在推进功率、运行灵活性和充电速度方面的综合能力。 要满足现代应用的严苛指标,仅依靠渐进式改进远远不够。这就要求电机与驱动器必须同时实现超高功率密度、高效率和优异的容错性,并在严格的成本与尺寸限制下,保证极致可靠的运行表现。 此外,充电技术是连接驱动器与能量源的关键桥梁。无论是有线充电还是无线充电,都需要进一步升级,以实现无缝、快速、智能的能量补给。 实现性能突破的最大契机在于系统集成。其核心是打破单一组件的孤立优化模式,采用协同设计理念—— 将电机、变流器、控制器与充电器整合为一套统一的机电系统。这种方法能够显著提升系统的智能化水平、紧凑性与韧性。 因此,本专题会议聚焦于电机、电力电子驱动器及集成系统设计的协同研发,旨在突破现有技术瓶颈,向着更高的效率、功率密度、智能化程度与可靠性持续迈进。


 

Related Topic征稿相关主题:
1) Design, analysis, and optimization of rotating/linear permanent magnet machines; 旋转 / 直线永磁电机的设计、分析与优化;

2) Converter topologies for on-board power distribution, battery management, and auxiliary supply integration; 面向车载配电、电池管理及辅助电源集成的变流器拓扑结构;

3) Advanced control strategies and modulation methods for permanent magnet machines; 永磁电机的先进控制策略与调制方法;

4) Ultra-high-efficiency converters with wide-bandgap devices; 基于宽禁带器件的超高效率变流器;

5) Specialized machines for robots, exoskeletons, and mobile manipulation; 适用于机器人、外骨骼及移动操作设备的专用电机;

6) Monitoring, failure mode analysis, and fault diagnosis of the electric propulsion system; 电力推进系统的状态监测、失效模式分析与故障诊断;

7) Emerging wireless energy/power transfer technology for electric vehicles; 面向电动汽车的新兴无线能量 / 电力传输技术;

8) Integrated design consideration of motor and drive circuit. 电机与驱动电路的集成设计考量。





Special Session V: Modeling, Optimization, and Control of Low-Carbon Smart Energy Systems 低碳智慧能源系统建模、优化与控制

Chair

Assoc. Prof. Huirong Zhao, Shanghai University of Electric Power, China
赵慧荣 副教授, 上海电力大学

Vice Chair

Assoc. Prof. Licheng Wang, Shanghai University of Electric Power, China
王立成 副教授, 上海电力大学

 

 


Vice Chair

Assoc. Prof. Bogang Qu, Shanghai University of Electric Power, China
渠博岗 副教授, 上海电力大学

 


Vice Chair

Lecturer Danhao Wang, Shanghai University of Electric Power, China
王丹豪 讲师, 上海电力大学

 

 

With the advancement of global carbon neutrality goals, low-carbon smart energy systems have emerged as a core direction for the low-to-zero carbon transition in the energy sector. This thematic focuses on the carbon-energy coupling characteristics analysis and flexible regulation of low-carbon smart energy systems, covering key issues such as system planning and design, multi-market interaction mechanisms, multi-physics field carbon-energy coupling modeling and simulation, and multi-temporal and spatial scale optimization and regulation. By integrating artificial intelligence, big data analysis, and advanced modeling, optimization, and control theories, it explores the synergistic pathways for the low-carbon and intelligent transformation of energy systems, providing theoretical support and practical solutions for building a clean, efficient, low-carbon and resilient future energy system. 随着全球碳中和目标的推进,低碳智慧能源系统已成为能源低零碳转型的核心方向。本专题聚焦低碳智慧能源系统的碳能耦合特性分析及灵活调控问题,涵盖系统规划设计、多市场交互机制、多物理场碳能耦合建模仿真、多时空尺度优化调控等关键问题。通过融合人工智能、大数据分析及先进建模、优化、控制理论,探索能源系统低碳化与智能化的协同路径,为构建清洁、高效、低碳、韧性的未来能源体系提供理论支撑与实践方案。


 

Related Topic征稿相关主题:
1) Carbon-Energy Coupling Modeling and Simulation for Low-Carbon Energy Systems 低碳能源系统碳能耦合建模与仿真

2) Optimization Control and Energy Management of Low-Carbon Integrated Energy Systems 低碳综合能源系统优化控制与能量管理

3) Aggregation Regulation Technologies and Mechanisms for Virtual Power Plants 虚拟电厂聚合调控技术及机制

4) Planning, Design, and Intelligent Operation and Maintenance Regulation of Zero-Carbon Park Energy Systems 零碳园区能源系统规划设计及智能运维调控

5) Intelligent Prediction of Multi-Source Load Resources 多元源荷资源智能预测

6) State Monitoring and Flexible Regulation of Multi-Energy Storage Resources 多元储能资源状态监测及灵活调控

7) Energy-Economy-Environment Collaborative Optimization under Uncertainty 不确定性环境下能源-经济-环境协同优化

8) Real-Time Control and Fault Diagnosis Based on Digital Twin 基于数字孪生的实时控制与故障诊断

9) Distributed Coordination Mechanisms for Cross-Regional Energy Internet 跨区域能源互联网的分布式协同机制


Special Session VI: AI Technologies for Optimal Operation and Control of Integrated Energy 综合能源系统最优运行与控制的人工智能技术

Chair

Assoc. Prof. Jiehui Zheng, South China University of Technology, China
郑杰辉 副教授, 华南理工大学


Vice Chair

Prof. Yuanzheng Li, Huazhong University of Science and Technology, China
李远征 教授, 华中科技大学

Under the global trend of combating climate change and accelerating energy transition, achieving the "dual carbon" goals has become a core issue. The Integrated Energy System (IES) breaks the barriers of various energy sources such as electricity, heat, cold and gas, achieving multi-energy complementarity, cascade utilization and coordinated optimization, which is the key path to improving energy utilization efficiency, large-scale absorption of renewable energy and ultimately achieving carbon neutrality. However, the efficient, safe and economic operation of IES faces severe technical challenges such as the dual uncertainty of renewable energy output and load demand, complex coupling of multi-energy flows, and collaborative control of massive equipment. Optimization control technology, as the "smart brain" of IES, is the core to unlock its huge potential. This special session aims to bring together top scholars, industry experts and policy makers from home and abroad to deeply discuss the cutting-edge key technologies, innovative applications and practical challenges in the field of IES operation optimization and control, and jointly discuss solutions to empower a green future. 在全球应对气候变化、加速能源转型的趋势下,实现 “双碳” 目标已成为核心议题。综合能源系统(IES) 打破电、热、冷、气等各类能源的壁垒,通过多能互补、梯级利用与协同优化,成为提升能源利用效率、规模化消纳可再生能源,并最终实现碳中和的关键路径。 然而,综合能源系统的高效、安全、经济运行面临着严峻的技术挑战,例如可再生能源出力与负荷需求的双重不确定性、多能流的复杂耦合,以及海量设备的协同调控等问题。优化控制技术 作为综合能源系统的 “智慧大脑”,是释放其巨大潜力的核心所在。 本专题会议旨在汇聚国内外顶尖学者、行业专家与政策制定者,深入探讨综合能源系统运行优化与控制领域的前沿关键技术、创新应用及实践挑战,共商解决方案,赋能绿色未来。


 

Related Topic征稿相关主题:
1) New development in theory, method and technology of integrated energy systems (IESs) 综合能源系统(IES)的理论、方法与技术新进展
2) Multi-energy coupling system and intelligent scheduling modeling of IESs 综合能源系统(IES)的多能耦合机制与智能调度建模
3) Advanced simulation models of low-carbon IESs 低碳综合能源系统(IES)的先进仿真模型
4) Security risk and vulnerability assessment of IESs 综合能源系统(IES)的安全风险与脆弱性评估
5) Cyber security assessment and defense of IESs 综合能源系统(IES)的网络安全评估与防御
6) Transient stability control of IESs 综合能源系统(IES)的暂态稳定控制


Special Session VII: Simulation, Testing, and Stability Analysis for Power Systems with Large-Scale Renewable Integration 综合能源系统最优运行与控制的人工智能技术

Chair

Assoc. Prof. Xu Jin, Shanghai Jiao Tong University, China
徐晋 副教授, 上海交通大学


Vice Chair

Postdoctoral Fellow Wu Pan, Shanghai Jiao Tong University, China
吴盼 博士后, 上海交通大学

With the advancement of the "dual carbon" goals, large-scale renewable energy sources, represented by wind and photovoltaic power, are being integrated into the grid at an accelerated pace, profoundly altering the dynamic characteristics and operational modes of power systems. The introduction of high-penetration renewable energy and power electronic devices has led to new features such as low inertia and wide-frequency oscillations, posing comprehensive challenges to traditional simulation tools, testing methods, and stability analysis theories. To ensure the safe and stable operation of the new power system, it is imperative to develop a new generation of simulation testing and stability analysis technologies tailored to its needs. This topic aims to bring together the expertise of academia and industry to explore new models, algorithms, and platforms for power systems with large-scale renewable energy integration. It focuses on cutting-edge directions such as electromagnetic transient simulation, real-time digital simulation, hardware-in-the-loop and power-hardware-in-the-loop testing, as well as multi-timescale stability analysis and control, providing key technological support for building a highly resilient new power system. 在全球应对气候变化、加速能源转型的趋势下,实现 “双碳” 目标已成为核心议题。综合能源系统(IES) 打破随着“双碳”目标的推进,以风电、光伏为代表的大规模新能源正加速接入电网,深刻改变了电力系统的动态特性与运行方式。高比例新能源与电力电子设备的引入,使得系统呈现低惯量、宽频域振荡等新特征,对传统仿真工具、测试方法与稳定分析理论带来了全面挑战。为保障新型电力系统的安全稳定运行,亟需发展与之相适应的新一代仿真测试与稳定分析技术。本专题旨在汇聚学术界与工业界的智慧,共同探讨面向大规模新能源接入电力系统的新模型、新算法与新平台,重点涵盖电磁暂态仿真、实时数字仿真、硬件在环与功率硬件在环测试以及多时间尺度稳定分析与控制等前沿方向,为构建高韧性的新型电力系统提供关键技术支撑。


 

Related Topic征稿相关主题:
1) Electromagnetic transient modeling and simulation algorithms for renewable energy power electronic devices 面向新能源电力电子设备的电磁暂态建模与仿真算法
2) Real-time digital simulation and parallel acceleration technology for large-scale wind and photovoltaic power stations 面向大规模风光场站的实时数字仿真与并行加速技术
3) Hardware-in-the-loop (HIL) testing technology for grid-connected renewable energy equipment and controllers 新能源并网设备与控制器硬件在环(HIL)测试技术
4) Design of power-hardware-in-the-loop (PHIL) testing systems and interface performance analysis methods for renewable energy power electronic devices 针对新能源电力电子设备的功率硬件在环(PHIL)测试系统设计与接口性能分析方法
5) Grid integration testing standards for renewable energy units and application case studies 新能源机组并网检测标准及应用案例研究
6) Efficient impedance characterization techniques for power systems with large-scale renewable energy integration 含大规模新能源电力系统的高效阻抗特性分析技术
7) Interactive oscillation mechanisms and suppression strategies between renewable energy power electronic devices and power grids 新能源电力电子设备与电网的交互振荡机理及抑制研究
8) Fault ride-through control and simulation verification for renewable energy system grid integration 新能源系统并网故障穿越控制及仿真验证研究
9) Modeling, control, and simulation analysis techniques for grid-forming converters in renewable energy systems 新能源构网型变流器建模、控制及仿真分析技术
10) Applications of artificial intelligence and digital twins in system simulation and stability assessment 人工智能与数字孪生在系统仿真与稳定评估中的应用




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Please inform us your selection in the submission form if you are interested in Special Session of PSGEC 2026 before you submitted. 如您有意投稿PSGEC 2026专题会议,烦请投稿前在投稿表中告知您的具体专题会议选择!
P.s The submission form is included in the full paper template.投稿表见全文模板中。  Full Paper Template (MS Word)