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Applied Sciences
Special Issues
Power Quality in Liberalized Markets
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Power Quality in Liberalized Markets

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".

Deadline for manuscript submissions: closed (25 June 2021) | Viewed by 2071

Special Issue Editors

Prof. Dr. Paola Verde

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Guest Editor
Department of Electrical Engineering and Information, University of Cassino and Lazio Meridionale, Via di Biasio n. 43, 03043 Cassino, FR, Italy
Interests: electric systems; power quality; power electronics
Special Issues, Collections and Topics in MDPI journals
Dr. Antonio Bracale

E-Mail Website
Guest Editor
Department of Engineering, University of Napoli Parthenope, 80133 Naples, Italy
Interests: electrical power systems; electric vehicles; optimization models; data analysis; forecasting techniques
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Pierluigi Caramia

E-Mail Website
Guest Editor
Department of Engineering, University of Naples Parthenope, Centro Direzionale Is. C4, 80143 Naples, Italy
Interests: power quality; energy forecasting; power system analysis

Special Issue Information

Dear Colleagues,

Modern electrical networks are characterized by the need for flexible, accessible, reliable, and high-quality power supply. This need introduces the Smart Grid (SG) paradigm as a way to optimally operate power systems using information and communication technologies, controllable end-user devices, renewable energies, and storage technologies. In this context, power quality (PQ) is one of the most important issues for utility, facility, and consulting engineers due to the increasing number of perturbing loads and the susceptibility of loads to power quality problems. On the other hand, electrical disturbances have significant economic consequences for customers and utility companies.

This Special Issue gathers contributions addressing the development of advanced methods for PQ analysis of SGs. This includes the statistical characterization of PQ disturbances and the development of methods for assessment of PQ disturbances in SG. The proposals may also concern the definition of new PQ indices, also aimed to assess responsibility between customer and utility. Contributions on economic aspects of PQ disturbances are encouraged, too. Review papers will also be taken into consideration for publication. Papers on research projects involving cooperation among researchers from academia, system operators, and industry will also be welcome to foster interactions among stakeholders.

Prof. Dr. Paola Verde
Prof. Dr. Antonio Bracale
Prof. Dr. Pierluigi Caramia
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. Applied Sciences 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

  • Disturbance characterization
  • Waveform distortion analysis in smart grid
  • Voltage sags analysis in smart grid
  • Flicker analysis in smart grid
  • Unbalances analysis in smart grid
  • Transient analysis in smart grid
  • Power quality indices in liberalized markets 
  • Assessment of disturbance responsibility
  • Disturbance forecasting
  • Measurement issues
  • Standard and recommendations
  • Test systems for power quality assessment in smart grid
  • Economic aspects of power quality disturbances

Published Papers (1 paper)

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Research

15 pages, 3835 KiB  
Article
Statistical Characterization of Supraharmonics in Low-Voltage Distribution Networks
by Pasquale De Falco and Pietro Varilone
Appl. Sci. 2021, 11(8), 3574; https://0-doi-org.brum.beds.ac.uk/10.3390/app11083574 - 16 Apr 2021
Cited by 8 | Viewed by 1438
Abstract
Modern power systems are subject to waveform distortions that include spectral components (supraharmonics) in the range of 2–150 kHz. Due to the lack of regulation in this range and since supraharmonics may follow time-varying patterns, the operators can take advantage of the statistical [...] Read more.
Modern power systems are subject to waveform distortions that include spectral components (supraharmonics) in the range of 2–150 kHz. Due to the lack of regulation in this range and since supraharmonics may follow time-varying patterns, the operators can take advantage of the statistical characterization of supraharmonics, e.g., for determining convenient power quality limits or to analyze the residual capacity of networks toward further installations of power electronic converters. This paper studies the statistical characterization of supraharmonics in low-voltage distribution networks, considering both the overall supraharmonic distortion (through the characterization of the total supraharmonic distortion index) and individual supraharmonic components. Several probability distributions are proposed and compared, also considering multimodal distributions that can fit more general scenarios in which the supraharmonic emissions follow regime patterns. The outcome of numerical experiments based on publicly available data collected at actual low-voltage distribution networks suggests that multimodal distributions are useful in characterizing supraharmonics in most cases, with acceptable goodness of fitting even in the presence of stair-shaped empirical distributions. This paper can serve as a starting point for the development of probabilistic power system analysis tools accounting for supraharmonic emissions and for the convergence toward standardization in the 2–150 kHz range. Full article
(This article belongs to the Special Issue Power Quality in Liberalized Markets)
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