Advances in Electric Power Systems and Microgrids

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Electrical Machines and Drives".

Deadline for manuscript submissions: closed (31 October 2023) | Viewed by 3785

Special Issue Editors


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Guest Editor
Department of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz, Iran
Interests: power electronics; control; optimization and cyber security analysis of smart grids; microgrids; smart cities; blockchain technology; cyber-attack detection; power system protection; fuzzy logic; signal processing; neural networks

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Guest Editor
Department of Electrical and Electronic Engineering, Shiraz University of Technology, Shiraz 71946-84334, Iran
Interests: power system restructuring; the impact of distributed generation on power systems; optimization methods; evolutionary algorithms; renewable energy sources
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Special Issue Information

Dear Colleagues,

Due to the growing developments meant to raise the social welfare and intelligence of power grids, traditional power networks no longer meet today’s requirements. As new technologies such as smart inverters,  electric vehicles, and renewable energy-based power production are constantly evolving, they are constantly varying the efficiency of power grids. The dynamic of electrical power operation has changed because the new power grid topology has electrical currents from both sides that are not considered in traditional grids. Accordingly, power systems must be equipped with smart measurement capabilities and more advanced and stable control, as well as a communication platform. By applying equipment such as smart sensors, electric vehicles, telecommunication platforms, and modern controllers, more accurate data about the power grid status can be collected and decisions can be made in real time. Hence, a smart grid is a system that is compatible, reliable, and interactive, as well as a system that can integrate and optimize renewable energy resources. In addition, the specifications and requirements of the smart power grid infrastructure are divided into various layers such as security, applications, communications, power control, and power grids.

In smart power systems, compared to traditional power grids, new categories such as voltage-frequency control, power control, optimized power generation of each agent, power consumption, costs, and communication technologies to exchange data among power generation agents, load, and smart sensors must be considered for these new systems. Therefore, with the advent of the telecommunication platform for data exchange, the issue of information security, data mining, and the use of methods to raise the level of data security, such as blockchain technology, is raised. Additionally, the smart power grid should examine the physical and cyber layers of the system. Furthermore, the vulnerable and risky points of the data security level and data mining should be identified and considered. To reach an effective smart grid, the working principles of all electronic power elements in the power grid must be well analyzed. Therefore, different issues in a smart power grid should be examined and analyzed to obtain a smart power grid with high reliability and an optimized system with minimal power losses with a high resiliency capability.

Dr. Moslem Dehghani
Prof. Dr. Taher Niknam
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. Machines 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 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

  • smart grid
  • security
  • cyber–physical system
  • data
  • optimization
  • control
  • renewable energy resources

Published Papers (2 papers)

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Research

20 pages, 4677 KiB  
Article
A Digital Twin-Based System to Manage the Energy Hub and Enhance the Electrical Grid Resiliency
by Gholamreza Nasiri and Abdollah Kavousi-Fard
Machines 2023, 11(3), 392; https://doi.org/10.3390/machines11030392 - 17 Mar 2023
Cited by 3 | Viewed by 1342
Abstract
This article addresses a digital twin-based real-time analysis (DTRA) to meditate the power system vulnerability whenever cascading failures and blackouts occur for any reason, and thus, to improve the resiliency. In addition to this, a water-power package is proposed to enhance the vulnerable [...] Read more.
This article addresses a digital twin-based real-time analysis (DTRA) to meditate the power system vulnerability whenever cascading failures and blackouts occur for any reason, and thus, to improve the resiliency. In addition to this, a water-power package is proposed to enhance the vulnerable percentage of the system by promptly syringing energy to the grid under line/generator outage contingencies. To this end, in the first place, we will develop a digital twin model along with a cloud platform derived from the Amazon Cloud Service (ACS) into the Amazon Web in order to scrutinize the online vulnerability data arising from the equivalent physical twin in real-time. Indeed, such a DTRA model can help us check the real grid’s behavior and determine how to meet the needs of the energy hub system to prevent blackouts. Additionally, a modified bat-based optimization algorithm is matched to settle the energy between the hub system and the electrical grid in furtherance of real-time analysis. To raise awareness, we will first compile how the hub system interactions can be effective in declining the vulnerability indices, and afterward, we will map out the ACS-based digital twin model on the studied case. Full article
(This article belongs to the Special Issue Advances in Electric Power Systems and Microgrids)
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15 pages, 38417 KiB  
Article
6-DOF Bilateral Teleoperation Hybrid Control System for Power Distribution Live-Line Operation Robot
by Yutao Chen, Yahao Wang, Xuming Tang, Kai Wu, Shaolei Wu, Rui Guo, Yuliang Zhao and Erbao Dong
Machines 2023, 11(1), 2; https://doi.org/10.3390/machines11010002 - 20 Dec 2022
Cited by 1 | Viewed by 1781
Abstract
In the master-slave heterogeneous teleoperation, the workspace of the slave manipulator is usually much larger than that of the master manipulator. This paper proposes a 6-DOF bilateral hybrid teleoperation control strategy to map the workspace of the manipulators without changing the operation accuracy. [...] Read more.
In the master-slave heterogeneous teleoperation, the workspace of the slave manipulator is usually much larger than that of the master manipulator. This paper proposes a 6-DOF bilateral hybrid teleoperation control strategy to map the workspace of the manipulators without changing the operation accuracy. The hybrid control includes the admittance and force control based on the feedback of the force sensor at the end of the manipulator. The two control strategies switched autonomously through the positioning of the Sigma.7 handle in the workspace. Compared with the classic bilateral teleoperation control, it overcomes the limitation of pre-matching the workspace of the master and slave. When the tool contacts a rigid environment, the robot can make adaptive compensation through the admittance controller even if the operator has not responded. We conduct extensive experiments to evaluate the changes in displacement and velocity before and after the switching process and under different admittance controller parameters. Finally, teleoperation is applied to live-line operation in distribution networks. The experiment proved that the control strategy is more consistent with human operation habits and can improve assembly success rate and efficiency. Full article
(This article belongs to the Special Issue Advances in Electric Power Systems and Microgrids)
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