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Advances in Smart Grids

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (15 January 2023) | Viewed by 2159

Special Issue Editors


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Guest Editor
School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Interests: robust optimization; energy system integration; power-to-hydrogen
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Interests: artificial intelligence in modern power system and renewable power generation
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Interests: application of artificial intelligence in distribution system

Special Issue Information

Dear Colleagues,

The smart grid is an electrical grid enabling a two-way flow of electricity and data. It includes various operation and energy measures such as advanced metering infrastructure, smart distribution boards, renewable energy resources, and energy-efficient resources. Although the increased use of digital information, development and incorporation of flexible resources, integration of smart appliances, and deployment of smart technologies create opportunities to improve the reliability, efficiency, and security of the electric grid, they also pose challenges and inherent vulnerabilities. Future smart grids will require totally new planning and operation principles, as well as novel control and protection solutions. Enabling advanced forecasts; new technologies for sensing, modeling, and automation; and novel methods for estimation, optimization, and control will have a major role in new resilient smart-grid technologies and architectures.

The main goal of this Special Issue is to pay special attention to advances in smart grids and bring engineers, researchers, and scientists together on a common platform to demonstrate novel research contributions in all aspects of technologies of relevance to smart grids. Topics of interest may include, but are not limited to, the following:

  • enabling technologies and equipment in smart grids;
  • advanced control and operation methods to improve power system flexibility;
  • optimal planning and operation of renewable integrated energy systems;
  • advanced metering in smart grids;
  • cyber–physical systems and their security;
  • artificial intelligence and its application in smart grids;
  • overview of the recent advances in smart grids.

Dr. Jiakun Fang
Prof. Dr. Weihao Hu
Dr. Di Cao
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. Sensors 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 2600 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.

Published Papers (1 paper)

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Research

23 pages, 9141 KiB  
Article
A New Decentralized Robust Secondary Control for Smart Islanded Microgrids
by Ali M. Jasim, Basil H. Jasim, Vladimír Bureš and Peter Mikulecký
Sensors 2022, 22(22), 8709; https://doi.org/10.3390/s22228709 - 11 Nov 2022
Cited by 15 | Viewed by 1843
Abstract
Dealing with the islanded operation of a microgrid (MG), the micro sources must cooperate autonomously to regulate the voltage and frequency of the local power grid. Droop controller-based primary control is a method typically used to self-regulate voltage and frequency. The first problem [...] Read more.
Dealing with the islanded operation of a microgrid (MG), the micro sources must cooperate autonomously to regulate the voltage and frequency of the local power grid. Droop controller-based primary control is a method typically used to self-regulate voltage and frequency. The first problem of the droop method is that in a steady state, the microgrid’s frequency and voltage deviate from their nominal values. The second concerns the power-sharing issue related to mismatched power line impedances between Distribution Generators (DGs) and MGs. A Secondary Control Unit (SCU) must be used as a high-level controller for droop-based primary control to address the first problem. This paper proposed a decentralized SCU scheme to deal with this issue using optimized PI controllers based on a Genetic Algorithm (GA) and Artificial Neural Networks (ANNs). The GA provides the appropriate adjustment parameters for all adopted PI controllers in the primary control-based voltage and current control loops and SCU-based voltage and frequency loops. ANNs are additionally activated in SCUs to provide precise online control parameter modification. In the proposed control structure, a virtual impedance method is adopted in the primary control scheme to address the power-sharing problem of parallel DGs. Further, in this paper, one of the main objectives includes electricity transmission over long distances using Low-Voltage DC Transmission (LVDCT) systems to reduce power losses and eradicate reactive power problems. Voltage Source Inverters (VSIs) are adopted to convert the DC electrical energy into AC near the consumer loads. The simulation results illustrated the feasibility of the proposed solutions in restoring voltage and frequency deviations, reducing line losses, as well as achieving active and reactive power sharing among the DGs connected to the MG. Full article
(This article belongs to the Special Issue Advances in Smart Grids)
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