Next-Generation Distribution System Planning, Operation, and Control

A special issue of Technologies (ISSN 2227-7080).

Deadline for manuscript submissions: 31 December 2025 | Viewed by 731

Special Issue Editors

School of Automation, China University of Geosciences, Wuhan 430074, China
Interests: cyber–physical systems; power system; multi-energy system; renewable energy integration
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Guest Editor
Anhui Province Key Laboratory of Renewable Energy Utilization and Energy Saving, Hefei University of Technology, Hefei 230002, China
Interests: multi-microgrids system; demand response; urban distribution networks
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Guest Editor
College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Interests: renewable energy integration; power system; wind farm optimization and control; voltage control

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Guest Editor
Foshan Graduate School of Innovation, Northeastern University, Foshan 528311, China
Interests: artificial intelligence and power grid dispatch, electric carbon measurement and applications, generation control of renewable energy

Special Issue Information

Dear Colleagues,

The past years has seen a progressive urbanization and upgrading process, along with the intelligentialization and popularity of energy-intensive appliances via advanced information and communications technologies. Next-generation distribution systems encompass various innovative technologies, strategies, and concepts aimed at transforming traditional power distribution into a more intelligent, efficient, and sustainable network. Therefore, new planning, operation, and control strategies for next-generation distribution system are becoming a pressing need.

In this Special Issue, articles on topics such as cyber–physical systems, renewable energy integration, next-generation distribution systems, and so on 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. Juan Wei
Dr. Xiaoshun Zhang
Guest Editors

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Keywords

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

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Published Papers (1 paper)

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Research

15 pages, 912 KiB  
Article
A Three-Level Service Quality Index System for Wind Turbine Groups Based on Fuzzy Comprehensive Evaluation
by Xueting Cheng, Jie Hao, Yuxiang Li, Juan Wei, Weiru Wang and Yaohui Lu
Technologies 2024, 12(11), 234; https://doi.org/10.3390/technologies12110234 - 20 Nov 2024
Viewed by 383
Abstract
The maintenance and upkeep costs of wind farms and their internal wind turbines have been increasing annually. Therefore, a systematic evaluation of their operating status is of great importance in guiding reductions in maintenance and upkeep costs. In this aspect, this article proposes [...] Read more.
The maintenance and upkeep costs of wind farms and their internal wind turbines have been increasing annually. Therefore, a systematic evaluation of their operating status is of great importance in guiding reductions in maintenance and upkeep costs. In this aspect, this article proposes a three-level service quality index system of “key component–wind turbine–wind farm” based on the fuzzy comprehensive evaluation method. Firstly, raw data on the wind farm are preprocessed to avoid the impact of abnormal data on the evaluation results. Then, the data types are classified and the degradation degree of each indicator is calculated. Based on the entropy weight method, the weight of each indicator is weighted and summed to obtain the overall membership degree. Finally, the overall health level is determined according to the “maximum membership degree”, which is the evaluation result. This article conducts an evaluation experiment based on the actual operating data of Gansu Huadian Nanqiu Wind Farm. The example shows that the proposed strategy can systematically evaluate the health level of wind farms and predict the future trends of health status changes. The research results can provide reference for the reasonable arrangement of unit scheduling, operation, and maintenance plans in wind farms. Full article
(This article belongs to the Special Issue Next-Generation Distribution System Planning, Operation, and Control)
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