Next-Generation Distribution System Planning, Operation, and Control—Second Edition

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Guest Editor
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China
Interests: optimal operation of electricity-hydrogen integrated energy system; optimal scheduling and energy management of virtual power plant
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Guest Editor
College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Interests: optimal power flow; renewable power generation system; optimal and control of power system with renewable energy; optimal and control of wind turbines; active wake control
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Special Issue Information

Dear Colleagues,

Recent years has seen progressive urbanization and upgrading processes, along with the popularization of energy-intensive appliances, made intelligent via advanced information and communication technologies. Next-generation distribution systems encompass various innovative technologies, strategies, and concepts aimed at transforming traditional power distribution systems into more intelligent, efficient, and sustainable networks. Therefore, new planning, operation, and control strategies for next-generation distribution systems are becoming a pressing need.

In this Special Issue, articles on topics such as cyber–physical systems, AI-assisted decision-making, renewable energy integration, and next-generation distribution systems are of interest. This Special Issue intends to act as a forum for the dissemination of the latest research and developments in strategies for next-generation distribution systems in the context of “CO2 peaking and neutrality”.

Dr. Da Xu
Dr. Xiaodong Yang
Dr. Kuan Zhang
Dr. Pengda Wang
Guest Editors

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Keywords

  • AI-assisted distribution/energy system optimization
  • cyber–physical systems
  • distribution systems
  • multi-energy systems
  • economic optimization strategies
  • renewable energy integration and control
  • demand-response strategies
  • transactive energy control
  • power/load forecasting
  • voltage control

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Published Papers (1 paper)

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Research

20 pages, 3223 KB  
Article
Transient Synchronization Stability Control Strategy for Virtual Synchronous Converter Based on Phase Difference Locking
by Jie Zhang, Si Yang, Kesheng Wang, Zhihao Wang, Weiyu Bao, Yunhai Lü and Hao Ding
Technologies 2026, 14(3), 159; https://doi.org/10.3390/technologies14030159 - 4 Mar 2026
Viewed by 422
Abstract
With the increasing penetration of renewable energy sources, power systems require more grid-forming converters. Grid-forming converters with virtual synchronous generator control have transient stability problems similar to those of synchronous machines. However, the active power reference, frequency, and phase in virtual synchronous generators [...] Read more.
With the increasing penetration of renewable energy sources, power systems require more grid-forming converters. Grid-forming converters with virtual synchronous generator control have transient stability problems similar to those of synchronous machines. However, the active power reference, frequency, and phase in virtual synchronous generators are artificially constructed and can be changed fast. This provides new approaches to improve the transient synchronization stability. Most existing virtual synchronous generator controls generate the internal voltage phase by integrating the frequency, resulting in limited control capability, which makes it hard to stop power angle divergence during deep voltage sags. This paper proposes a transient synchronization stability control strategy based on phase difference locking. Under deep voltage sags, the phase difference between the internal voltage and the terminal voltage is locked to prevent divergence of the power angle, while under shallow sags, the virtual synchronous generator control is retained to maintain active power support. Moreover, a smooth post-fault transition is ensured. The proposed strategy achieves stability and support functions in single converter and multi-node systems. In the single converter test, the maximum frequency deviation of the converter during the transient process decreased from 0.043 p.u. to 0.009 p.u. In the 39-bus test under deep voltage sag conditions, the maximum frequency deviation of the converters during the transient process was reduced from 0.214 p.u. and 0.109 p.u. to 0.016 p.u. and 0.027 p.u., respectively. Full article
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