Recent Advances in Smart Grid

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Industrial Electronics".

Deadline for manuscript submissions: 15 June 2024 | Viewed by 684

Special Issue Editors


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Guest Editor
School of Information Science and Technology, East China University of Science and Technology (ECUST), Shanghai 200237, China
Interests: analysis and control of networked smart grid; energy internet; V2G

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Guest Editor
School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China
Interests: networked control systems; smart grid; intelligent control

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Guest Editor
School of Urban Rail Transportation, Shanghai University of Engineering Science, Shanghai 201620, China
Interests: intelligent information processing and system integration; fault diagnosis and reliability of rail transit equipment

Special Issue Information

Dear Colleagues,

This Special Issue of Electronics, entitled "Recent Advances in Smart Grid", aims to explore the advancements in and applications of smart grid. The term ‘smart grid’ describes a system of energy distribution that uses computer-based remote control and automation, two-way communication between houses and power stations, as well as sensors placed along transmission lines to better manage the flow of electricity in the grid. The plans to use smart technologies and grid computerization to help manage the flow of electricity smoothly have a number of possible benefits, including increased efficiently of electricity transmission, shorter power outages, reduced utility costs and electricity rates, and greater integration of renewable energy systems.

In recent years, there has been significant progress in the development of model analysis control methodologies tailored specifically for smart grid. The digital technology that allows for two-way communication between the utility and its customers, as well as sensing along transmission lines, is what makes the grid ‘smart’. The smart grid represents an unprecedented opportunity to move the energy industry into a new era of reliability, availability, and efficiency that will contribute to our economic and environmental health. However, the introduction of advanced technologies makes grid more complicated. Therefore, this Special Issue focuses on presenting innovative research and developments in analysis and synthesis that are designed to tackle these challenges and enhance the performance and reliability of smart grid.

This SI invites researchers and practitioners to contribute their original work addressing various aspects of recent advances in smart grid. Topics of interest involve, but are not limited to, the following:

  • Design and analysis of communication mechanism in smart grid;
  • Coordination of renewable energy systems;
  • Prediction and control of wind and solar power ;
  • Robustness and performance optimization of smart grid;
  • Vehicle-to-grid technology in real-world problems;
  • Intelligent reasoning of power grid.

Dr. Zhichen Li
Prof. Dr. Huaicheng Yan
Dr. Zhaomin Lv
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly 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 2400 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

  • design and analysis of communication mechanism in smart grid
  • coordination of renewable energy systems
  • prediction and control of wind and solar power
  • robustness and performance optimization of smart grid
  • vehicle-to-grid technology in real-world problems
  • intelligent reasoning of power grid

Published Papers (1 paper)

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Research

14 pages, 2853 KiB  
Article
Against Jamming Attack in Wireless Communication Networks: A Reinforcement Learning Approach
by Ding Ma, Yang Wang and Sai Wu
Electronics 2024, 13(7), 1209; https://doi.org/10.3390/electronics13071209 - 26 Mar 2024
Viewed by 452
Abstract
When wireless communication networks encounter jamming attacks, they experience spectrum resource occupation and data communication failures. In order to address this issue, an anti-jamming algorithm based on distributed multi-agent reinforcement learning is proposed. Each terminal observes the spectrum state of the environment and [...] Read more.
When wireless communication networks encounter jamming attacks, they experience spectrum resource occupation and data communication failures. In order to address this issue, an anti-jamming algorithm based on distributed multi-agent reinforcement learning is proposed. Each terminal observes the spectrum state of the environment and takes it as an input. The algorithm then employs Q-learning, along with the primary and backup channel allocation rules, to finalize the selection of the communication channel. The proposed algorithm designs primary and backup channel allocation rules for sweep jamming and smart jamming strategies. It can predict the behavior of jammers while reducing decision conflicts among terminals. The simulation results demonstrate that, in comparison to existing methods, the proposed algorithm not only enhances data transmission success rates across multiple scenarios but also exhibits superior operational efficiency when confronted with jamming attacks. Overall, the anti-jamming performance of the proposed algorithm outperforms the comparison methods. Full article
(This article belongs to the Special Issue Recent Advances in Smart Grid)
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