ACFPE 2025 Special Session

Special Session 1: Advanced State Sensing Technology of Electrical Equipment for Renewable Energy (专题1：面向可再生能源的电工装备先进状态感知技术 )

Chair: Jingsong Li, Dalian University of Technology, China

Vice Chair: Jianfeng Hong, Beijing Jiaotong University, China

The advanced system state sensing technology of electrical equipment, including motors, transformers, grid-connected converters, etc., plays an increasingly important role in ensuring the safe and stable grid-connected operation of renewable energy. Accurate prediction and online control of possible faults of electrical equipment will contribute to the realization of "Carbon Neutral" under the "Dual Carbon" background.

· Power system operation · Power system planning · Renewable energy · Energy storage · Demand-side response

Special Session 2: Advanced Technologies for Power System Operation and Planning towards Carbon Neutrality（专题2：面向碳中和的电力系统运行与规划先进技术）

Chair: Zhongjie Guo, University of Electronic Science and Technology of China, China

Vice Chair: Shihua Luo, University of Electronic Science and Technology of China, China

Driven by China's carbon neutrality goals, the power system, as the cornerstone of low-carbon energy transition, is experiencing a pivotal shift towards a paradigm dominated by renewable energy sources. The large-scale integration of renewable energy stands as a primary strategy for achieving emission reductions within the power system. Meanwhile, technologies such as energy storage and demand-side response serve as essential mechanisms to ensure stable operation and flexible dispatch. Against this background of carbon neutrality, this session centers on power system operation and planning, aiming to provide an in-depth exploration of advanced technologies that facilitate the low-carbon transition of future new power system.

· Renewable Energy · Electrical Equipment · Grid-connected Converter · State Sensing · Online Detection and Control

Special Session 3: Multi-agent game theory driven Optimal operation and control of next-generation distribution system (专题3： 多主体博弈驱动的新型配电系统优化运行与控制)

Chair: Pengfeng Lin, Shanghai Jiao Tong University, China	Vice Chair: Shuaijia He, Sichuan University, China
Vice Chair: Tengfei Ma, Institute of Electrical Engineering, Chinese Academy of Sciences, China
With the large-scale integration of distributed energy resources, distribution systems have evolved from traditional unidirectional networks into complex multi-agent interactive systems. Various market participants including distributed generators, energy storage operators, and load aggregators engage in strategic gaming based on their individual interests. This creates significant challenges: conflicting interests and information asymmetry among participants, inadequacy of traditional centralized control in coordinating multiple stakeholders, and increased system complexity and uncertainty. The key challenge is achieving balanced participant interests through effective gaming mechanisms while ensuring safe and stable system operation.	· Data-intense next-generation distribution system · Adaptive operation and decision of distribution system · Multi-agent game theory in the application of distribution system · The configuration and control of flexibility assets in distribution system

Special Session 4: Power Quality Issues in High-Penetration Renewable Energy Power Systems (专题4：高比例新能源电力系统的电能质量问题)

Chair: Yi Zhang, Fuzhou University, China

Vice Chair: Yongfeng Zhang, Jinan University, China

Against the background of global energy low-carbon transformation, the high proportion of new energy access is promoting the transformation of the power system from the traditional "source with load" mode to the "source-network-load-storage" coordinated operation. This change brings new characteristics to the system. The difficulty of time-space matching between power supply and demand increases. The differences in dynamic characteristics of the power supply, power grid, and load lead to mutual influences of fluctuations at different time scales. These fluctuations cause power quality problems such as voltage deviation, flicker, and harmonics. The addition of new energy storage technology further increases the complexity of the system. At present, the multi-energy coordinated regulation ability is insufficient. The electricity-carbon market mechanism has not been effectively integrated. The overall supply-demand balance of the system continues to face pressure. Traditional governance methods have problems such as slow response speed, limited model accuracy, and imperfect evaluation of system adaptability. Existing equipment can hardly meet the requirements of the new system. It is urgent to conduct research on accurate power quality analysis methods, develop highly adaptive governance equipment, and explore comprehensive optimization schemes that combine multi-energy coordination with the electricity-carbon market.

· Voltage sag perception, warning, location and treatment technology · Transient characteristic analysis of AC/DC power grid under voltage sag conditions · The division of harmonic responsibility · Harmonic power flow algorithms considering distributed generation · Study of generation, propagation characteristics and influence of ultra-high harmonics · Harmonic monitoring and analysis of new power system · Harmonic characteristics of AC / DC hybrid power system · Frequency stability assessment of high proportion renewable energy power system · Harmonic source load identification · Three-phase imbalance management · Power quality data application · Power quality in integrated energy systems · The modeling of power quality interference sources · The optimization and management of power quality problems in new power systems · Three-phase unbalanced power flow analysis technology · Power quality analysis and economic research · Multi-energy flow optimizes the management of power quality problems · Power quality characteristics of hydrogen energy storage grid-connected · The electric carbon market optimizes the management of power quality problems

Special Session 5: Construction and Control Technologies of Renewable Power Systems Based on Grid-Forming Energy Storage (专题5： 基于构网型储能的可再生能源电力系统构建与控制技术)

Chair: Lei Chen, Wuhan University, China

Vice Chair: Cancan Rong, China University of Mining and Technology, China

The global pursuit of "dual carbon" goals and the accelerating transition toward renewable energy have propelled the widespread deployment of variable renewable energy sources (RES) such as wind and solar power. Concurrently, breakthroughs in grid-forming energy storage (GFES) technologies have unlocked unprecedented opportunities for stabilizing modern power systems. GFES, as a cornerstone technology enabling dynamic grid support and renewable energy integration, is emerging as a critical enabler for power system resilience, operational flexibility, and economic efficiency. GFES serves as a pivotal component in both transmission and distribution networks. For bulk power systems, the planning and operation of GFES must address the stability, reliability, and economic challenges posed by high-penetration renewable generation. Simultaneously, the deployment and control of GFES are constrained by grid topology and operational requirements. For renewable energy plants, GFES control strategies and capacity configuration significantly influence the spatiotemporal characteristics of power injection, which in turn affects overall system performance. However, the large-scale integration of intermittent renewables and GFES introduces new complexities in system dynamics, creating substantial challenges for power system planning, operation, and control. In this context, developing advanced GFES-based solutions for renewable power systems is of paramount importance for achieving carbon neutrality goals while ensuring grid security and stability. This Special Session aims to explore cutting-edge research on construction and control technologies for renewable power systems based on GFES, and to discuss the challenges, opportunities, and future trends in this field.

· GFES control architectures for renewable-dominated power systems · Stability analysis and enhancement in GFES-integrated grids · Optimal planning and sizing of GFES for renewable energy integration · AI and data-driven approaches for GFES operation and optimization · Market mechanisms and economic dispatch for GFES participation · Harmonic monitoring and analysis of new power system · Fault ride-through and resilience enhancement in GFES-supported grids · Hardware validation and field demonstrations of GFES applications

Special Session 6: Data analytics technique for smart grid (专题6： 智能电网数据分析技术)

Chair: Bochao Zhao, Tianjin University, China

Co-Chair: Cheng Yang, Shanghai University of Electric Power, China

As global energy transformation deepens and the wave of digitalization accelerates, smart grids have emerged as the core of future power systems. They not only enable real-time monitoring and optimization of electricity generation, transmission, distribution, and consumption but also accumulate massive, multi-source, high-concurrency data. The critical challenge we face, and the focus of our discussion today, is how to extract valuable insights from this complex data to enhance the grid's resilience, efficiency, reliability, and sustainability. This session will delve into the latest data analytics techniques, including but not limited to big data processing, machine learning, deep learning, predictive modeling, anomaly detection, and optimization algorithms, and their innovative applications in smart grids. We will collectively explore how these techniques can achieve precise load forecasting, intelligent fault diagnosis, refined energy management, optimized renewable energy integration, and enhanced cybersecurity awareness. We look forward to stimulating innovative thinking and solutions through this exchange, jointly promoting the healthy development of smart grids, and contributing to building a more efficient, cleaner, and reliable energy future.

· Load Forecasting and Demand Response · Fault Detection, Diagnosis, and Self-Healing Grids · Asset Management and Predictive Maintenance · Cybersecurity for Smart Grids · Big Data Management and IoT · Time Series Analysis