Urban Smart Grids and Power Systems

A special issue of Urban Science (ISSN 2413-8851).

Deadline for manuscript submissions: 31 December 2026 | Viewed by 1290

Editors

Institute of Energy, Peking University, Beijing 100871, China
Interests: artificial intelligence in power systems; power system stability; power quality analysis

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Guest Editor
College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443000, China
Interests: resilient distribution networks; integrated energy systems; distribution network fault diagnosis

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Guest Editor
College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China
Interests: digital signal processing; power system wide area monitoring; PMU algorithms

Special Issue Information

Dear Colleagues,

Recent advances in sensing and computing have expanded the application of smart technologies in the urban power sector, and urban smart grids have now come to rely on a combination of physical infrastructure, software, and control algorithms to ensure reliability across the grid’s life cycle, from initial planning and design to real-time operation and maintenance. Consequently, there is a need to identify the most effective applications of AI and signal processing in these complex systems, determine their benefits for grid stability and resilience, and provide practical solutions for hardware implementation and field deployment.

We invite submissions to this Special Issue on “Urban Smart Grids and Power Systems”. The scope is broad and covers both theoretical analyses and engineering applications; areas of interest include, but are not limited to, the following topics:

  • Application of smart technologies in grid planning, asset management, and operation.
  • Resilience and Reliability:

               Resilience enhancement of distribution networks and microgrids;

               Fault diagnosis, location, and self-healing methods;

               Cyber-physical security in power systems.

  • Integration and Optimization:

               Operation of integrated energy systems (IESs) and multi-energy flows;

               Management of distributed energy resources (DERs) and electric vehicles;

               Virtual power plants (VPPs) and demand response.

  • Control and Stability:

               Power system stability analysis in converter-dominated grids;

               Wide-band oscillation monitoring and suppression;

               Power quality disturbance analysis and mitigation.

  • Sensing and Computation:

               Wide-area measurement system (WAMS) applications;

               Time–frequency signal analysis for power system dynamics;

               Embedded AI, edge computing, and DSP/FPGA-based implementation.

  • Challenges in low-inertia systems and renewable integration.

Dr. Yulong Liu
Dr. Qiujie Wang
Dr. Jian Song
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Urban Science is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • smart grids
  • distribution network resilience
  • integrated energy systems
  • power system stability
  • wide-area measurement
  • signal processing
  • fault diagnosis
  • power quality
  • embedded AI

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Published Papers (1 paper)

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Review

23 pages, 2475 KB  
Review
Optimization Techniques for Home Energy Management Systems: A Comprehensive Review, Critical Analysis, and Future Directions
by Md Mamun Ur Rashid, Jiefeng Hu, Md Alamgir Hossain, Nima Amjady and Syed Islam
Urban Sci. 2026, 10(6), 324; https://doi.org/10.3390/urbansci10060324 - 10 Jun 2026
Viewed by 946
Abstract
The increasing integration of renewable energy sources, smart appliances, and distributed energy technologies has significantly increased the complexity of residential energy systems, necessitating advanced Home Energy Management Systems (HEMS). Optimization techniques play a critical role in achieving key objectives, including energy cost reduction, [...] Read more.
The increasing integration of renewable energy sources, smart appliances, and distributed energy technologies has significantly increased the complexity of residential energy systems, necessitating advanced Home Energy Management Systems (HEMS). Optimization techniques play a critical role in achieving key objectives, including energy cost reduction, load balancing, minimizing the peak-to-average ratio, and enhancing user comfort. This paper presents a comprehensive review and critical analysis of optimization techniques employed in HEMS, including mathematical methods, metaheuristic algorithms, artificial intelligence (AI)-based approaches, and rule-based strategies. These techniques are systematically classified and compared based on scalability, computational complexity, uncertainty handling, and real-time applicability. The analysis reveals that while conventional methods provide reliable solutions for structured problems, AI-based techniques offer superior adaptability and performance in dynamic and data-driven environments. Furthermore, key research gaps are identified, including limited multi-objective optimization, inadequate consideration of uncertainty and electric vehicle integration, and the lack of real-world implementation. Finally, future research directions are outlined, emphasizing hybrid optimization frameworks and intelligent, IoT-enabled energy management systems. Full article
(This article belongs to the Special Issue Urban Smart Grids and Power Systems)
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