Xin Yang is a Senior Engineer and Senior Expert at State Grid Anhui Electric Power Co., Ltd. He graduated from Shanghai Jiao Tong University in 2006 with a major in Electrical Engineering and Automation. He currently serves as Head of the Distribution Network Planning Division at the Planning Review Center of the Anhui Electric Power Economic and Technological Research Institute. His research interests include distribution network planning, intelligent decision-support technologies, and coordinated planning of generation, grid, load, and storage. Over the past years, Yang has made significant contributions to both technical research and the formulation
of standards. He led the drafting of the Anhui provincial standard Technical Code for the Construction and Renovation of Rural Distribution Facilities, which was officially issued in 2023 and has played a guiding role in rural distribution network improvement. He has also overseen the revision of several enterprise standards, such as the Technical Rules for Distribution Network Planning and Design of Anhui Province, the Technical Specifications for Active Distribution Network Planning, and the Guidelines for Planning and Design of
Electric Vehicle Charging and Swapping Facilities. Xin Yang also serves as an Industry Advisor at Hefei University of Technology (HFUT), where he mentors graduate students pursuing Master’s degrees.
Liuzhu Zhu received the Master degree of Shanghai Jiao Tong University, Shanghai, China. He is currently Vice
President of Economic and Technological Research Institute of State Grid Anhui Electric Power Co., Ltd. His research interests include distribution network planning, and coordinated planning of generation, grid, load, and storage.
Fan Zhou is an Engineer at the Economic and Technological Research Institute of State Grid Anhui Electric Power Co., Ltd. He received his Master’s degree in photovoltaic (PV) power forecasting and microgrid economic optimization. His academic training in renewable energy modeling and optimization prepared him to address distributed generation challenges. During graduate studies, Zhou analyzed the stochastic nature of PV outputs and its effect on distribution systems, developing forecasting methods and optimization frameworks to balance cost and reliability. This work bridged theory and practice, enabling more effective renewable utilization. At the institute, Zhou has contributed to several provincial-level planning and research projects, including forecasting
algorithm development, simulation-based evaluations, and optimization model design. He has also participated in studies on economic dispatch, resilience-oriented microgrids, and renewable integration. Although early in
his career, Zhou has helped formulate guidelines for renewable integration, particularly in rural and urban contexts. His focus on low-carbon development, flexible scheduling, and cost-effective operation aligns with China’s dual-carbon strategy, marking him as a promising contributor to sustainable distribution systems.
Tiancheng Shi was born in 1990. He received a Ph.D. degree in Electrical Engineering and Automation from Hefei University of Technology, Hefei, China, in 2019. He is currently with the Economic and Technological Research Institute, State Grid Anhui Electric Power Co., Ltd. His research interests include power system planning, reliability analysis, fault diagnosis, and fault-tolerant techniques for pulse-width modulation power electronic converter systems.
Fei Jiao graduated from Anhui Institute of Industry and Trade with a major in Software Technology in 2008, from Hefei University of Technology with a major in Computer and its Applications in 2018, and from the Party School of Anhui Provincial Committee with a major in Economics in 2023. He obtained a Master of Business Administration degree from the University of Science and Technology of China in 2025. He currently serves
as a senior engineer at Anhui Mingsheng Hengzhuo Technology Co., Ltd., and his research interests include big data analysis and the application of artificial intelligence in the power industry.
