Call for Papers for the Special Topic AI-Driven Low-Carbon and High-Quality New Distribution Systems
The "15th Five-Year Plan" period is a strategic critical period for achieving the carbon peak goal and constructing a new power system. China's power industry is facing severe transformation and upgrading challenges, and the traditional distribution system is undergoing a profound change from a centralized rigid architecture to a distributed flexible ecosystem. Constructing a new distribution system characterized by low carbonization, high reliability, and high-quality power supply is a key path to implementing the "double carbon" strategy and achieving the in-depth transformation of the power system. In this process, the deep integration and efficient collaboration of distribution networks, microgrids, and energy storage systems can become an effective way to solve the contradiction between power quality assurance and efficient consumption of new energy. As a key support for digital and intelligent transformation, artificial intelligence technology can not only improve the intelligent level of system planning, operation, and control but also show unique advantages in multi-source heterogeneous data processing, complex decision-making optimization, and the construction of intelligent interaction mechanisms. Integrating artificial intelligence technologies of intelligent perception, data-driven, and knowledge evolution into all links of the new distribution system can achieve collaborative optimization between low-carbon goals and power supply quality, enhance the autonomous response and global coordination capabilities of the distribution system in a highly uncertain environment, support the efficient evolution of the future energy system with the participation of multiple subjects, and provide a systematic solution for the new distribution system that can be quantitatively verified, dynamically iterated, and scaled up.
To this end, the editorial department of Electric Power specially invites Wang Chengshan, an academician of the Chinese Academy of Engineering, Professor Yang Ting, Associate Professor Ge Leijiao, and Dr. Song Guanyu from Tianjin University, and Professor Li Qi from Southwest Jiaotong University to jointly serve as special editors to organize a special column on "Low-Carbon and High-Quality New Distribution System Driven by Artificial Intelligence". At the same time, as one of the special academic activities of the China Association for Science and Technology Annual Conference - the special topic of low-carbon and high-quality new distribution system with collaborative distribution, microgrid, and energy storage, excellent papers will be recommended to participate in the selection of "100 Most Influential Academic Papers of the China Association for Science and Technology Annual Conference". Experts, scholars, and researchers at home and abroad are welcome to contribute actively to jointly promote the continuous in-depth research and progress.
Contribution Directions (including but not limited to)
1）Low-carbon and High-quality Planning Technology for Distribution Systems Driven by Artificial Intelligence
2）Knowledge-Data Dual-Driven Optimization and Control Technology for Distribution Systems
3）Source-Load Forecasting Technology for New Distribution Systems Driven by Artificial Intelligence
4）New Principles and Technologies of Wide-Area Sensing and Measurement for New Power Distribution and Utilization Systems
5）High-quality Demand Response Technology for New Distribution Systems Driven by Artificial Intelligence
6）Energy Saving and Carbon Reduction Technology and Dual-Carbon Evolution for New Distribution Systems Driven by Artificial Intelligence
7）Key Technologies for Information-Physical Collaborative Security Defense in New Distribution Systems
8）Multi-Agent Digital Twin Generation and Decision-Making Technology for New Distribution Systems
9）Key Technologies of New Energy Storage and Source-Grid-Load-Storage Collaboration for Improving Distribution System Quality
Column Paper Publication Plan
1. Deadline for manuscript submission: June 30, 2025.
2. Publication schedule: Published in installments as a special column in the second half of 2025.
3. Manuscripts submitted to this column will enjoy the green channel review privilege of the journal. Once accepted, an acceptance notice will be issued as soon as possible, and online first publication will be prioritized.
Submission Requirements
1. Requirements for paper writing: The word count should be approximately 6,000 characters, typeset in Word. Please refer to the Electric Power paper template (download the latest version from the official website of Electric Power without fail). English translations of the title, authors, affiliations, abstract, keywords, and references must be provided.
2. The research should focus on hotspots and difficult issues in related fields, fully reflecting the core innovative achievements of the above professional directions.
3. In principle, the paper should be supported by a fund project. Please specify the project name and number in a standardized manner.
4. The submitted paper must not have been published in public media.
Submission Methods
Please log in to the website of Electric Power: www.electricpower.com.cn, register as an author to obtain a username and password, and submit your manuscript online. Please select or indicate the column "Low-Carbon and High-Quality New Distribution System Driven by Artificial Intelligence" when submitting.
Contact Persons:
Editorial Department of Electric Power, Wang Wenshi
Tel: 010-66603806
Email: wangwenshi@sgeri.sgcc.com.cn
Guest Editor-in-Chief: Academician Wang Chengshan, Tianjin University
Email: eptc@cers.org.cn
Guest Editor-in-Chief: Professor Yang Ting, Tianjin University
Email: yangting@tju.edu.cn
Guest Editor-in-Chief: Professor Li Qi, Southwest Jiaotong University
Email: liqi0800@163.com
Guest Editor-in-Chief: Senior Engineer Song Guanyu, Tianjin University
Email: gysong@tju.edu.cn
Guest Editor-in-Chief: Associate Professor Ge Leijiao, Tianjin University
Email: legendglj99@tju.edu.cn
Introduction to Guest Editors
Wang Chengshan, an academician of the Chinese Academy of Engineering, is a professor at Tianjin University, Director of the National Innovation Platform for Industry-Education Integration in Energy Storage Technology, Director of the National Key Laboratory of Intelligent Distribution and Utilization Equipment and Systems, and Director of the Key Laboratory of Smart Grid (Ministry of Education). He is also a Distinguished Professor of the "Changjiang Scholars Program" of the Ministry of Education, a recipient of the National Science Fund for Distinguished Young Scholars, and a chief scientist of the 973 Program. He has long been engaged in teaching and scientific research in the field of power systems and their automation, and has made outstanding contributions to the field of distribution systems and microgrids. He has won 1 National Technical Invention Award (Second Class), 3 National Science and Technology Progress Awards (Second Class), and 1 National Teaching Achievement Award (Second Class). He has also been awarded the Ho Leung Ho Lee Prize for Scientific and Technological Progress and the first batch of National Innovation and Entrepreneurship Awards. The team led by him has been selected as an innovative team by the Ministry of Education, an innovative team in key fields by the Ministry of Science and Technology, and a "Huang Danian-style" teacher team.
Yang Ting, a professor and doctoral supervisor at Tianjin University, is listed among the world's top 2% of scientists. He is also a senior visiting professor at the University of Sydney, Australia. He serves as the Director of the National Intergovernmental Joint Center for "Energy Informatics and Demand Response Technology" and the Director of the National Electrical and Electronic Experiment Center.
He has published more than 200 SCI/EI indexed papers and 4 monographs. His achievements have won 10 provincial and ministerial-level scientific and technological progress awards. He serves as an editorial board member and special issue editor for multiple IEEE/IET international journals, as well as editorial board members for domestic journals such as Automation of Electric Power Systems and Electric Power Information and Communication Technology. He has successively participated in formulating several national strategic documents for smart grid development.
Li Qi, a professor and doctoral supervisor at Southwest Jiaotong University, serves as the Deputy Director of the National Engineering Center for Rail Transit Electrification and Automation, and Deputy Director of the Academic Affairs Office (on temporary appointment). He has been selected for the national young talent program, is an IET Fellow, a leading academic and technical talent in Sichuan Province, and an Elsevier China Highly Cited Scholar.
In recent years, he has presided over projects such as the National Natural Science Foundation of China, the Huo Yingdong Young Teachers Fund of the Ministry of Education, and the Outstanding Young Scholars Fund of Sichuan Province. He has won the First Prize of Sichuan Provincial Science and Technology Progress, the Second Prize of Natural Science from the Ministry of Education, as well as the Excellent Young Scholar Award of the China Power Supply Society, the Zhan Tianyou Railway Science and Technology Young Talent Award, etc. He serves as an editorial board member for international journals such as IEEE Transactions on Industrial Electronics (IEEE TIE), IEEE Transactions on Transportation Electrification (IEEE TTE), and Proceedings of the CSEE Journal of Power and Energy Systems (PCMP).
Song Guanyu, Ph.D., is a senior engineer and master's supervisor at Tianjin University, Deputy Director of Tianjin Popular Science Base, member of the National Key Laboratory of Intelligent Distribution and Utilization Equipment and Systems, and member of the Huang Danian-style Teacher Team in National Colleges and Universities. He is also the person in charge of a first-class course in Tianjin. He has long been engaged in teaching and scientific research related to simulation analysis, operation and control of intelligent distribution networks and microgrids. He has presided over 1 National Natural Science Foundation Youth Project, 1 sub-project of the National Major Project of Smart Grid, 1 sub-project of the National Key R&D Program, and 10 enterprise science and technology projects. He has published 28 SCI/EI indexed papers, authorized 45 invention patents, and won the First Prize of Science and Technology Progress of the Chinese Electrotechnical Society in 2024 and the First Prize of Tianjin Science and Technology Progress in 2025. In terms of teaching reform, he has presided over 6 projects, published 8 teaching reform papers, and won the Second Prize of National Teaching Achievements in 2022 and the Special Prize of Tianjin Teaching Achievements.
Ge Leijiao, Associate Professor and PhD Supervisor, mainly engages in research on situation awareness of intelligent distribution networks, condition monitoring of rail transit power supply systems, and artificial intelligence-empowered microgrids/distribution networks. He has been selected as a Young Scientist for National Major Projects by the Ministry of Science and Technology, and listed among Elsevier's Top 2% of Scientists worldwide. As a project leader, he has undertaken the Young Scientist Project of the National Major Project "New Generation of Artificial Intelligence" under the 2030 Technology Innovation Plan, General and Youth Projects of the National Natural Science Foundation of China, and Key Projects of the Tianjin Natural Science Foundation.
He has published 67 papers as the first/corresponding author in top industry SCI journals such as IEEE Transactions on Smart Grid (IEEE TSG) and IEEE Transactions on Power Delivery (TPWRS), and authored 5 monographs in Chinese and English. As the first contributor, he has won 1 Second Prize of Tianjin Science and Technology Progress and 1 First Prize of Energy Innovation Award (Technical Innovation) from the China Energy Research Society.
