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Energies
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2nd International Colloquium on Smart Grid Metrology (SmaGriMet 2019)
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2nd International Colloquium on Smart Grid Metrology (SmaGriMet 2019)

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A1: Smart Grids and Microgrids".

Deadline for manuscript submissions: closed (20 October 2019) | Viewed by 9849

Special Issue Editors

Prof. Dr. Martin Dadic

E-Mail Website
Guest Editor
Department of Electrical Engineering Fundamentals and Measurements, Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, HR-10000 Zagreb, Croatia
Interests: applied electromagnetics
Dr. Marko Jurcevic

E-Mail Website
Guest Editor
Department of Electrical Engineering Fundamentals and Measurements, Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, HR-10000 Zagreb, Croatia
Interests: remote measurement and calibration; electrical power measurements; signal processing
Prof. Dr. Goran Petrovic

E-Mail Website
Guest Editor
Department of Power Engineering, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, R. Boškovica 32, 21000 Split, Croatia
Interests: electrical power measurements; signal processing

Special Issue Information

Dear Colleagues,

The Second International Colloquium on Smart Grid Metrology—SmaGriMet 2019 (http://smagrimet.org) will be held in Split, Croatia, 9–12 April 2019. The colloquium focuses on metrology infrastructure for effective development and deployment of smart grids, as well as the accompanying applications and relevant topics.

The principal goal of colloquium is to get together international experts in precise metrology infrastructure for effective development and deployment of smart grids as well as in broad range of its accompanying applications in ubiquitous wireless and optical sensors, smart cities and vehicles, medicine, signal processing, machine learning, energy management and beyond.

The Special Issue of Energies entitled “2nd International Colloquium on Smart Grid Metrology (SmaGriMet 2019)” provides related scientific research, technology development, policy and management studies. It publishes reviews and regular research papers.

We invite authors to contribute original research articles as well as review articles to this Special Issue. Potential topics include, but are not limited to:

- Algorithms for power and energy measurements

- Calibration methods

- Energy research and development

- Nonconventional sensors

- Signal processing

- Power line communications

- Security and privacy challenges in smart grids

- Machine learning

- Intelligent cities applications and sensors.

Prof. Dr. Martin Dadic
Dr. Marko Jurcevic
Prof. Dr. Goran Petrovic
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. Energies 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.

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Published Papers (3 papers)

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Research

22 pages, 1326 KiB  
Article
Estimation of Impedance and Susceptance Parameters of a 3-Phase Cable System Using PMU Data
by Ravi Shankar Singh, Helko van den Brom, Stanislav Babaev, Sjef Cobben and Vladimir Ćuk
Energies 2019, 12(23), 4573; https://doi.org/10.3390/en12234573 - 30 Nov 2019
Cited by 4 | Viewed by 2597
Abstract
This paper proposes a new regression-based method to estimate resistance, reactance, and susceptance parameters of a 3-phase cable segment using phasor measurement unit (PMU) data. The novelty of this method is that it gives accurate parameter estimates in the presence of unknown bias [...] Read more.
This paper proposes a new regression-based method to estimate resistance, reactance, and susceptance parameters of a 3-phase cable segment using phasor measurement unit (PMU) data. The novelty of this method is that it gives accurate parameter estimates in the presence of unknown bias errors in the measurements. Bias errors are fixed errors present in the measurement equipment and have been neglected in previous such attempts of estimating parameters of a 3-phase line or cable segment. In power system networks, the sensors used for current and voltage measurements have inherent magnitude and phase errors whose measurements need to be corrected using calibrated correction coefficients. Neglecting or using wrong error correction coefficients causes fixed bias errors in the measured current and voltage signals. Measured current and voltage signals at different time instances are the variables in the regression model used to estimate the cable parameters. Thus, the bias errors in the sensors become fixed errors in the variables. This error in variables leads to inaccuracy in the estimated parameters. To avoid this, the proposed method uses a new regression model using extra parameters which facilitate the modeling of present but unknown bias errors in the measurement system. These added parameters account for the errors present in the non- or wrongly calibrated sensors. Apart from the measurement bias, random measurement errors also contribute to the total uncertainty of the estimated parameters. This paper also presents and compares methods to estimate the total uncertainty in the estimated parameters caused by the bias and random errors present in the measurement system. Results from simulation-based and laboratory experiments are presented to show the efficacy of the proposed method. A discussion about analyzing the obtained results is also presented. Full article
(This article belongs to the Special Issue 2nd International Colloquium on Smart Grid Metrology (SmaGriMet 2019))
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11 pages, 1594 KiB  
Article
Conceptual Design of IoT-Based AMR Systems Based on IEC 61850 Microgrid Communication Configuration Using Open-Source Hardware/Software IED
by Dragan Mlakić, Hamid Reza Baghaee, Srete Nikolovski, Marko Vukobratović and Zoran Balkić
Energies 2019, 12(22), 4281; https://doi.org/10.3390/en12224281 - 10 Nov 2019
Cited by 10 | Viewed by 3942
Abstract
This paper presents an intelligent electronic device (IED) utilized for automatic meter readings (AMR) scheme using “Open-Source” software. This IED is utilized to measure a low-voltage intelligent electronic device) system with a boundless number of sensors, and it is accessible on the Internet [...] Read more.
This paper presents an intelligent electronic device (IED) utilized for automatic meter readings (AMR) scheme using “Open-Source” software. This IED is utilized to measure a low-voltage intelligent electronic device) system with a boundless number of sensors, and it is accessible on the Internet of Things (IoT). The utilized equipment for this task is Arduino UNO R3 motherboard and fringe sensors, which are used for measurement of the referenced information. The Arduino motherboard is used not only for sole tranquility of equipment but also for serving as wireless fidelity (Wi-Fi) switch for the sensors. The personal computer is utilized to gather information and perform client-side calculations. The server works based on an open-source program written in Java programming language. The underlying objective of the proposed scheme is to make the meter based on the “Do It Yourself” methodology which requires considerably fewer funds. Also, it is conceivable by keeping easy to understand interface, information legitimacy, precision of measured information and convenience for the conclusive client. The information is measured in just about 1 ms which is superb for custom-designed IED. Furthermore, the measured qualities are calculated based on their RMS values to be used for analyzing and further presentation of data. Full article
(This article belongs to the Special Issue 2nd International Colloquium on Smart Grid Metrology (SmaGriMet 2019))
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18 pages, 8649 KiB  
Article
An Adiabatic Coaxial Line for Microcalorimeter Power Measurements in Wireless Communication for Smart Grid
by Zeljko Martinovic, Martin Dadic, Branimir Ivsic and Roman Malaric
Energies 2019, 12(21), 4194; https://doi.org/10.3390/en12214194 - 3 Nov 2019
Cited by 2 | Viewed by 2689
Abstract
This paper presents the extended results and prototype of the adiabatic copper conductor constructed with two interruption points in the external conductor layer, for use as a microcalorimeter power standard in wireless communication for a smart grid frequency range. Gaps are intended to [...] Read more.
This paper presents the extended results and prototype of the adiabatic copper conductor constructed with two interruption points in the external conductor layer, for use as a microcalorimeter power standard in wireless communication for a smart grid frequency range. Gaps are intended to drive down the thermal transfer from the outer environment into microcalorimeter and to reduce measurement inaccuracies in the microcalorimeter. The proposed design method is based on the combination of thermal and electromagnetic finite-element method simulations by which the desired line performance has been tailored. A prototype of the proposed adiabatic line has been manufactured and measurements on the prototype are presented along with the design procedure. Measured results are in line with the ones predicted by numerical calculations. Full article
(This article belongs to the Special Issue 2nd International Colloquium on Smart Grid Metrology (SmaGriMet 2019))
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