Guest Editors
Assoc. Prof. Da Xu
Email: xuda@cug.edu.cn
Affiliation: School of Automation, China University of Geosciences, Wuhan, 430074, China
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Research Interests: multi-energy system, transactive energy control, demand response, urban distribution networks
Assoc. Prof. Xiaodong Yang
Email: yang_xd90@163.com
Affiliation: State Key Laboratory of High Efficiency and High Quality Electric Energy Conversion, Hefei University of Technology, Hefei, 230009, China
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Research Interests: multi-microgrids system, demand response, urban distribution networks
Dr. Ziyi Bai
Email: baiziyi@hbut.edu.cn
Affiliation: School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan, 430064, China
Homepage:
Research Interests: urban distribution networks, renewable energy, distributed generation
Assoc. Prof. Kuan Zhang
Email: kuanzhang@ncepu.edu.cn
Affiliation: State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, 102206, China
Homepage:
Research Interests: optimal operation of electricity-hydrogen integrated energy system, energy management of virtual power plant
Dr. Yingping Cao
Email: yingping.cao@polyu.edu.hk
Affiliation: Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong, 999077, China
Homepage:
Research Interests: smart grid planning and operation, multi-energy network modelling, energy system resilience, renewable energy generation
Summary
In recent years, the accelerating integration of distributed energy resources, electric vehicles, and intelligent loads has reshaped the operational landscape of modern power distribution systems. This transformation is driven not only by decarbonization goals but also by the urgent need for flexibility, resilience, and efficiency in grid operation. Traditional planning and control paradigms are no longer sufficient to address the dynamic, multidirectional, and data-intensive nature of next-generation distribution networks. In this context, advanced technologies such as edge computing, artificial intelligence, digital twins, and transactive energy management are emerging as enablers of a smarter, more adaptive grid infrastructure. To ensure secure, economic, and sustainable electricity supply in the era of energy decentralization and electrification, there is a pressing need to explore innovative planning, operation, and control approaches tailored to the complexity of future distribution systems.
This Special Issue seeks to gather cutting-edge research contributions that address key challenges and present novel methodologies for the planning, operation, and control of next-generation distribution systems.
Topics of interest include, but are not limited to:
· Distribution system planning, operation, and control;
· Artificial intelligence (AI) -based forecasting, optimization, and decision-making techniques;
· Electricity-hydrogen or electricity-gas or electricity-heat-gas multi-energy system planning and operation;
· Electricity-transportation system planning and operation;
· Renewable energy or electric vehicle control;
· Digital twins and cyber-physical systems for distribution networks;
· Real-time monitoring, state estimation, and situational awareness.
Keywords
distribution systems, multi-energy system, economic optimization, renewable energy, artificial intelligence
Published Papers
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