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Electronics
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IoT Applications for Renewable Energy Management and Control, 2nd Edition
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IoT Applications for Renewable Energy Management and Control, 2nd Edition

A special issue of Electronics (ISSN 2079-9292).

Deadline for manuscript submissions: 15 August 2025 | Viewed by 1082

Special Issue Editors

Prof. Dr. Shengqing Li

E-Mail Website
Guest Editor
Department of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou 412007, China
Interests: smart grid; electric engineering; smart energy
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Jiazhu Xu

E-Mail Website
Guest Editor
College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Interests: AC/DC hybrid distribution network; high-speed railway traction drive; new energy grid-connected control and optimization; hybrid power system with multiple converters
Prof. Dr. Jianqi Li

E-Mail Website
Guest Editor
School of Computer and Electrical Engineering, Hunan University of Arts and Science, Changde 415000, China
Interests: computer control and detection technology; IoT; AI
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

There has been a paradigm shift in energy production and distribution after the emergence of the Internet of Things (IoT). The IoT is now used in all areas of renewable energy production, i.e., generation and transmission, as well as distribution equipment. These devices enable monitoring and controlling the operation of equipment remotely in real time. This reduces operational costs and lowers dependence on already-limited fossil fuels.

The use of renewable energy resources already provides a variety of benefits over conventional ones. The implementation of IoT will help to utilize these clean energy sources further.

Although the use of IoT in renewable energy management provides many benefits, it is not without its challenges and obstacles. The challenge with utilizing IoT devices is their vulnerability to hacking. Since devices are connected to a network, a cyberattack could occur if the network is not secured properly. This can lead to hazardous and unfavorable conditions.

This Special Issue covers IoT applications for renewable energy management and control, as well as its security aspects and associated issues and challenges.

Suggested Topics:

  • IoT application in smart grid energy management;
  • IoT application in renewable power generation;
  • Forecasting demand with IoT;
  • IoT application in power distribution;
  • IoT application in power grid automation;
  • IoT application in domestic power;
  • Security of IoT networks;
  • Advanced technology of electrical engineering.

Prof. Dr. Shengqing Li
Prof. Dr. Jiazhu Xu
Prof. Dr. Jianqi Li
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

  • IoT sensors
  • IoT-based actuators
  • smart grid and renewable energy
  • electrical engineering

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Related Special Issue

Published Papers (2 papers)

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Research

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19 pages, 6583 KiB  
Article
Multiple Fault-Tolerant Control of DC Microgrids Based on Sliding Mode Observer
by Jian Sun, Zewen Li and Minsheng Yang
Electronics 2025, 14(5), 931; https://doi.org/10.3390/electronics14050931 - 26 Feb 2025
Viewed by 422
Abstract
Different locations and types of faults affect the safe and reliable operation of DC microgrids. Therefore, this paper proposes a secondary multiple fault-tolerant control scheme for a DC microgrid based on a sliding mode observer to ensure the voltage is restored to the [...] Read more.
Different locations and types of faults affect the safe and reliable operation of DC microgrids. Therefore, this paper proposes a secondary multiple fault-tolerant control scheme for a DC microgrid based on a sliding mode observer to ensure the voltage is restored to the rated value and realize the proportional current sharing of all sources. Firstly, the secondary control model of the DC microgrid is established, considering the multiple faults of actuators and sensors simultaneously. Secondly, the system model is transformed into two subsystems by bilinear coordinate transformation, and multiple faults decoupling between the sensor and actuator is realized. Then, two sliding mode observers are designed for the two transformed subsystems. The sliding mode variable structure equivalent principle is used to reconstruct the faults at different positions without knowing the fault models in advance, which is convenient for subsequent processing. Then, the fault-tolerant controller based on the sliding mode observer is designed, which uses the reconstructed value to offset the influence of sensor and actuator faults on the DC microgrid and realizes the fault-tolerant control of the DC microgrid. Finally, the effectiveness of the proposed control strategy is verified by experiments. Full article
(This article belongs to the Special Issue IoT Applications for Renewable Energy Management and Control, 2nd Edition)
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Other

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19 pages, 7628 KiB  
Technical Note
Distributed Event-Triggered Current Sharing Consensus-Based Adaptive Droop Control of DC Microgrid
by Jinhui Zeng, Tianqi Liu, Chengjie Xu and Zhifeng Sun
Electronics 2025, 14(6), 1217; https://doi.org/10.3390/electronics14061217 - 20 Mar 2025
Viewed by 378
Abstract
Conventional droop control (a decentralized method to regulate power sharing by adjusting voltage–current slopes) in DC microgrids faces challenges in balancing precise current distribution, bus voltage regulation, and communication pressure, especially in distributed energy management scenarios. To address these limitations, this paper proposes [...] Read more.
Conventional droop control (a decentralized method to regulate power sharing by adjusting voltage–current slopes) in DC microgrids faces challenges in balancing precise current distribution, bus voltage regulation, and communication pressure, especially in distributed energy management scenarios. To address these limitations, this paper proposes an adaptive control strategy combining three layers: (1) Primary control achieves power sharing and voltage stabilization via U-I droop characteristics for distributed energy resources (DERs); (2) Secondary control corrects voltage deviations and droop coefficient imbalances through multi-agent consensus algorithms, ensuring global equilibrium; (3) Event-triggered consensus control minimizes communication pressure via a novel protocol with time-varying coupling weights and a hybrid trigger function combining state variables and time-decaying terms rigorously proven to exclude Zeno behavior (i.e., infinite triggering in finite time) using Lyapunov stability theory. Full article
(This article belongs to the Special Issue IoT Applications for Renewable Energy Management and Control, 2nd Edition)
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