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Micromachines
Special Issues
Smart Power Microdevices and Systems
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Smart Power Microdevices and Systems

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "E：Engineering and Technology".

Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 3435

Special Issue Editor

Prof. Dr. Taher Niknam

E-Mail Website
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
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Accordingly, power systems must be equipped with smart measurement capabilities, more advanced and stable control, as well as a communication platform. By using this equipment (smart sensors, telecommunication platform, and modern controller), more accurate information about the electrical network status can be obtained and decisions can be made in real-time. Such a structure of a modern power system that has smart sensors, a telecommunication platform for exchanging information, and renewable energy is called a smart grid. There are many definitions of the concept of a smart grid, such as "a grid where all consumers can access energy-efficient, cheap, accessible and reliable using control and communication technologies. 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 sources. In addition, the specifications and requirements of the smart power grid infrastructure are divided into different layers such as application, security, communications, power control, and power systems. Hence, a smart power system that has resilient operation and control under cyber attacks is essential and important.

Prof. Dr. Taher Niknam
Guest Editor

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. Micromachines 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 2100 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
  • resiliency
  • control
  • cyber-attacks
  • security

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Published Papers (1 paper)

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Research

19 pages, 6687 KiB  
Article
Development and Performance Evaluation of Photovoltaic (PV) Evaluation and Fault Detection System Using Hardware-in-the-Loop Simulation for PV Applications
by Phuong-Truong Le, Huan-Liang Tsai and Phuong-Long Le
Micromachines 2023, 14(3), 674; https://doi.org/10.3390/mi14030674 - 18 Mar 2023
Cited by 2 | Viewed by 2833
Abstract
This paper originally presents a photovoltaic (PV) evaluation and fault detection (PVEFD) system for PV applications based on the Internet of Things (IoT) technology. The PVEFD system consists of an STM32F103C8T6 chip with a 32-bit Arm Cortex-M3 reduced instruction set computer (RISC) and [...] Read more.
This paper originally presents a photovoltaic (PV) evaluation and fault detection (PVEFD) system for PV applications based on the Internet of Things (IoT) technology. The PVEFD system consists of an STM32F103C8T6 chip with a 32-bit Arm Cortex-M3 reduced instruction set computer (RISC) and 12-bit resolution analog-to-digital converter (ADC) to measure important parameters of PV applications, such as solar irradiance as well as the back-surface cell temperature, operating voltage, and output current of PV devices. The measured data of irradiance as well as back-surface cell temperature and operating voltage of PV devices are then fed into a built-in PV model in the on-chip Arm Cortex-M3 RISC for hardware-in-the-loop (HIL) simulation to obtain the simulated output current and power of PV devices. The resulting data are transmitted to a cloud server for remote monitoring and automatic warning function through a Raspberry PI 3 module and WiFi network. The simulation results are compared with in-field measurement data from PV modules and displayed on a human–machine interface (HMI) and an Android app. The results of the study illustrated that the proposed system features high accuracy and sufficient confidence. Furthermore, the fault detection function through the built-in HIL simulation function in PV systems was validated. Therefore, the proposed system is a small, compact, and cost-effective HIL-on-chip machine for remote surveillance of PV power systems. Full article
(This article belongs to the Special Issue Smart Power Microdevices and Systems)
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