Special Issue "Monitoring and Distributed Control for Power Systems"

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A2: Distributed Energy System".

Deadline for manuscript submissions: 10 March 2022.
Please contact the guest editor or the journal editor ([email protected]) for any queries.

Special Issue Editor

Prof. Dr. Ferdinanda Ponci
E-Mail Website
Guest Editor
Institute for Automation of Complex Power Systems, RWTH Aachen University, 52064 Aachen, Germany
Interests: electrical power engineering; distributed generation; measurement, monitoring, and automation of electrical distribution systems; distributed control for power systems, monitoring, and control of active electrical distribution grids and urban energy grids; power hardware-in-the-loop platform for the testing of monitoring systems; multiagent control system
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Special Issue Information

Dear colleagues,

The power distribution system now integrates energy communities and microgrids, including DC grids, different energy vectors (e.g., electricity and gas), new loads (e.g., e-vehicle recharging stations), renewable energy sources, and storage. Business level changes affect the roles of distribution system operators, their relation to transmission system operators, aggregators, third party service providers.

The digitalization of the entire sector results in new concepts for platforms, applications, and services. Use, production, and protection of data relevant to the power system is key to these developments.

In this context, the development of new monitoring and control solutions is proceeding at a fast pace to handle the complexity and to adapt to dynamically changing operating conditions, including extreme cases, such as reconfiguration and black start.

Technical and business activities rely on the access to measurements and other data, and the visibility of network and device status. This implies that measurements, in different forms and from a variety of sources, sensors and instruments, must be pervasive, able to track fast dynamics, able to provide new relevant parameters, and must be accompanied by elaboration, interpretation, and merging functionalities. New concepts of monitoring must be flexible, adaptive, robust. Controls must operate in hierarchical and collaborative manner, serving the objectives of the individual actors and the welfare of the system as a whole.

The technologies for data collection, communication, storage, access and handling are expected to create an open and secure environment, in cloud, edge cloud, or centralized implementations. The applications should be easy to develop and should support interoperability across sectors, companies, institutions, users, and standards.

This Special Issue will present the concepts, technologies, methods, and applications that promise to push the active electrical distribution systems forward.

Prof. Dr. Ferdinanda Ponci
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 papers will be 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 2000 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

  • monitoring
  • measurements
  • control
  • distributed control
  • automation
  • platforms
  • digitalization
  • power systems
  • distribution systems
  • data
  • integration of renewables
  • multi-carrier energy systems

Published Papers (3 papers)

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Research

Article
Advanced Machine Learning Functionalities in the Medium Voltage Distributed Monitoring System QuEEN: A Macro-Regional Voltage Dips Severity Analysis
Energies 2021, 14(23), 7949; https://doi.org/10.3390/en14237949 - 27 Nov 2021
Viewed by 340
Abstract
This paper presents the integration of advanced machine learning techniques in the medium voltage distributed monitoring system QuEEN. This system is aimed to monitor voltage dips in the Italian distribution network mainly for survey and research purposes. For each recorded event it is [...] Read more.
This paper presents the integration of advanced machine learning techniques in the medium voltage distributed monitoring system QuEEN. This system is aimed to monitor voltage dips in the Italian distribution network mainly for survey and research purposes. For each recorded event it is able to automatically evaluate its residual voltage and duration from the corresponding voltage rms values and provide its “validity” (invalidating any false events caused by voltage transformers saturation) and its “origin”(upstream or downstream from the measurement point) by proper procedures and algorithms (current techniques). On the other hand, in the last years new solutions have been proposed by RSE to improve the assessment of the validity and origin of the event: the DELFI classifier (DEep Learning for False voltage dips Identification) and the FExWaveS + SVM classifier (Features Extraction from Waveform Segmentation + Support Vector Machine classifier). These advanced functionalities have been recently integrated in the monitoring system thanks to the automated software tool called QuEEN PyService. In this work, intensive use of these advanced techniques has been carried out for the first time on a significant number of monitored sites (150) starting from the data recorded from 2018 to 2021. Besides, the comparison between the results of the innovative technique (validity and origin of severe voltage dips) with respect to the current ones has been performed at the macro-regional level too. The new techniques are shown to have a not negligible impact on the severe voltage dips number and confirm a non-homogenous condition among the Italian macro-regional areas. Full article
(This article belongs to the Special Issue Monitoring and Distributed Control for Power Systems)
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Article
Power Quality Improvement in Distribution Grids via Real-Time Smart Exploitation of Electric Vehicles
Energies 2021, 14(12), 3533; https://doi.org/10.3390/en14123533 - 14 Jun 2021
Viewed by 679
Abstract
Integration of electric vehicles into electric power system brings both challenges and solutions in the operation of power grids. On the one hand, simultaneously charging a large number of electric vehicles causes branch congestion or large voltage drop. Operating the electric vehicles in [...] Read more.
Integration of electric vehicles into electric power system brings both challenges and solutions in the operation of power grids. On the one hand, simultaneously charging a large number of electric vehicles causes branch congestion or large voltage drop. Operating the electric vehicles in the discharging mode, on the other hand, introduces the provision of several ancillary services like peak power shaving and spinning reserves. From the electric vehicles operation point of view, thus, the distribution system operators require a real-time monitoring infrastructure to capture the states of electric vehicle chargers and accordingly operate their grids in the safe mode with respect to the power quality standards (e.g., EN 50160). In this context, the real-time smart charging and storage platform of the EU Horizon 2020 “MEISTER” project, based on the information and communication technology, manages the availability of electric vehicles as a potential source of energy in the need of one or more flexibility services demanded by low voltage distribution system operators. In addition to the implemented information and communication technology platform, this paper presents how the smart use of the electric vehicle resources supports the power quality of the distribution system in terms of system voltage support, bidirectional power flow management, harmonic alleviation and power factor control. Full article
(This article belongs to the Special Issue Monitoring and Distributed Control for Power Systems)
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Article
Analysis of a Multi-Timescale Framework for the Voltage Control of Active Distribution Grids
Energies 2021, 14(7), 1965; https://doi.org/10.3390/en14071965 - 01 Apr 2021
Cited by 2 | Viewed by 729
Abstract
The development of strategies for distribution network management is an essential element for increasing network performance and reducing the upgrade of physical assets. This paper analyzes a multi-timescale framework to control the voltage of distribution grids characterized by a high penetration of renewables. [...] Read more.
The development of strategies for distribution network management is an essential element for increasing network performance and reducing the upgrade of physical assets. This paper analyzes a multi-timescale framework to control the voltage of distribution grids characterized by a high penetration of renewables. The multi-timescale solution is based on three levels that coordinate Distributed Generation (DG) and Energy Storage Systems (ESSs), but differs in terms of the timescales and objectives of the control levels. Realistic load and photovoltaic generation profiles were created for cloudy and clean sky conditions to evaluate the performance features of the multi-timescale framework. The proposed solution was also compared with different frameworks featuring two of the three levels, to highlight the contribution of the combination of the three levels in achieving the best performance. Full article
(This article belongs to the Special Issue Monitoring and Distributed Control for Power Systems)
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