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Electronics
Special Issues
Recent Advances in Smart Grid
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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: closed (15 January 2025) | Viewed by 6165

Special Issue Editors

Dr. Zhichen Li

E-Mail Website
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
Prof. Dr. Huaicheng Yan

grade E-Mail Website
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
Dr. Zhaomin Lv

E-Mail Website
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

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (4 papers)

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Research

23 pages, 6911 KiB  
Article
Optimal Placement of HVDC-VSC in AC System Using Self-Adaptive Bonobo Optimizer to Solve Optimal Power Flows: A Case Study of the Algerian Electrical Network
by Houssam Eddine Alouache, Samir Sayah, Alessandro Bosisio, Abdellatif Hamouda, Ramzi Kouadri and Rouzbeh Shirvani
Electronics 2024, 13(19), 3848; https://doi.org/10.3390/electronics13193848 - 28 Sep 2024
Cited by 1 | Viewed by 1160
Abstract
Modern electrical power networks make extensive use of high voltage direct current transmission systems based on voltage source converters due to their advantages in terms of both cost and flexibility. Moreover, incorporating a direct current link adds more complexity to the optimal power [...] Read more.
Modern electrical power networks make extensive use of high voltage direct current transmission systems based on voltage source converters due to their advantages in terms of both cost and flexibility. Moreover, incorporating a direct current link adds more complexity to the optimal power flow computation. This paper presents a new meta-heuristic technique, named self-adaptive bonobo optimizer, which is an improved version of bonobo optimizer. It aims to solve the optimal power flow for alternating current power systems and hybrid systems AC/DC, to find the optimal location of the high voltage direct current line in the network, with a view to minimize the total generation costs and the total active power transmission losses. The self-adaptive bonobo optimizer was tested on the IEEE 30-bus system, and the large-scale Algerian 114-bus electric network. The obtained results were assessed and contrasted with those previously published in the literature in order to demonstrate the effectiveness and potential of the suggested strategy. Full article
(This article belongs to the Special Issue Recent Advances in Smart Grid)
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21 pages, 4413 KiB  
Article
Corrective Evaluation of Response Capabilities of Flexible Demand-Side Resources Considering Communication Delay in Smart Grids
by Ying Liu, Chuan Liu, Jing Tao, Shidong Liu, Xiangqun Wang and Xi Zhang
Electronics 2024, 13(14), 2795; https://doi.org/10.3390/electronics13142795 - 16 Jul 2024
Viewed by 932
Abstract
With the gradual increase in the proportion of new energy sources in the power grid, there is an urgent need for more flexible resources to participate in short-term regulation. The impact of communication network channel quality will continue to magnify, and factors such [...] Read more.
With the gradual increase in the proportion of new energy sources in the power grid, there is an urgent need for more flexible resources to participate in short-term regulation. The impact of communication network channel quality will continue to magnify, and factors such as communication latency may directly affect the efficiency and effectiveness of resource regulation. In this context of a large number of flexible demand-side resources accessing the grid, this article proposes a bidirectional channel delay measurement method based on MQTT (Message Queuing Telemetry Transport). It can effectively evaluate the real-time performance of communication links, considering that resources mainly access the grid through the public network. Subsequently, focusing on two typical types of resources on the demand side, namely, split air conditioners and central air conditioners, this article proposes an assessment method for correcting the response capabilities of air conditioning resources considering communication latency. Experimental simulations are conducted, and the results demonstrate that under given communication conditions, this method can more accurately estimate the response capability of air conditioners. This provides a basis for formulating more reasonable scheduling strategies, avoiding excessive or insufficient resource regulation caused by communication issues, and aiding the power grid in achieving precise scheduling. Full article
(This article belongs to the Special Issue Recent Advances in Smart Grid)
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16 pages, 4054 KiB  
Article
Noise-like-Signal-Based Sub-Synchronous Oscillation Prediction for a Wind Farm with Doubly-Fed Induction Generators
by Junjie Ma, Linxing Lyu, Junfeng Man, Mengqi Chen and Yijun Cheng
Electronics 2024, 13(11), 2200; https://doi.org/10.3390/electronics13112200 - 5 Jun 2024
Cited by 1 | Viewed by 962
Abstract
The DFIG-based wind farm faces sub-synchronous oscillation (SSO) when it is integrated with a series-compensated transmission system. The equivalent SSO damping is influenced by both wind speed and compensation level. However, it is hard for the wind farm to obtain a compensation level [...] Read more.
The DFIG-based wind farm faces sub-synchronous oscillation (SSO) when it is integrated with a series-compensated transmission system. The equivalent SSO damping is influenced by both wind speed and compensation level. However, it is hard for the wind farm to obtain a compensation level in time to predict the SSO risk. In this paper, an SSO risk prediction method for a DFIG wind farm is proposed based on the characteristics identified from noise-like signals. First, SSO-related parameters are analyzed. Then, the potential SSO frequency and damping are identified from signals at normal working points by integration using variational mode decomposition and Prony analysis. Finally, a fuzzy inference system is established to predict the SSO risk of a DFIG wind farm. The effectiveness of the proposed method is verified by simulation. The proposed prediction method can predict SSO risks caused by the variation in wind speed, while the transmission line parameters are undetectable for the wind farm. Full article
(This article belongs to the Special Issue Recent Advances in Smart Grid)
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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
Cited by 2 | Viewed by 2537
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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