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Approaches and Experiences of Monitoring and Control of Electrical Distribution Grids

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

Deadline for manuscript submissions: 28 February 2025 | Viewed by 680

Special Issue Editors


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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
Special Issues, Collections and Topics in MDPI journals
Department of Grid Planning and Grid Operation, Fraunhofer IEE, 34121 Kassel, Germany
Interests: design of measurement systems for monitoring and management of active distribution systems; development of solutions for distribution grid automation; power system state estimation; distribution networks; power system measurement; power grids; mathematical analysis; demand-side management; smart meters; distributed power generation; fault location; measurement uncertainty; power engineering computing; AC–DC power converters; Internet of Things; Kalman filters
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Distribution systems, at low and medium voltage levels, are at the core of energy transformation and electrification around the world. The integration of renewable generation, storage, new load behaviours, power electronics and hybrid AC/DC grids is changing the power landscape and the requirements for monitoring and control, and also for standardization, testing and regulation. Digitalization and data-driven solutions are still in development and are creating new opportunities and challenges at the same time.

Scientific research, technical development and deployment of new technologies are proceeding at different speeds. The Technology Readiness Levels are very diverse.

This Special Issue aims to present and disseminate the most recent advancements in the form of concepts, theoretical formulations, practical implementations, lessons learnt from numerical simulation and field demonstrations.

Topics of interest include, but are not limited to, the following:

  • Methods for grid monitoring and measurement.
  • Forecasting.
  • Techniques/workflows for the estimation and provision of flexibility.
  • Solutions for congestion management and implementation of redispatch processes.
  • Impact and smart management of DG and controllable loads (e.g., heat pumps, electric vehicles, etc.).
  • Design and validation of algorithms for self-healing grids.
  • Challenges, approaches and experiences on automation and digitalization of MV and LV grids.
  • Data and data spaces.
  • Security.
  • Design or practical integration of AI tools for grid monitoring and control.
  • Disruptive concepts and perspectives on modernization and operation of future distribution grids.
  • Standardization needs.
  • Testing and certification.
  • Grid codes.
  • Energy communities.

Prof. Dr. Ferdinanda Ponci
Dr. Marco Pau
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.

Keywords

  • distribution grids
  • monitoring
  • control
  • distributed monitoring
  • distributed control
  • operation
  • automation
  • digitalization
  • data
  • data spaces
  • AI
  • flexibility
  • testing
  • standards

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Published Papers (1 paper)

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Research

19 pages, 12144 KiB  
Article
Voltage-Triggered Flexibility Provision in a Distribution Network with Limited Observability
by Martin Bolfek and Tomislav Capuder
Energies 2024, 17(16), 4091; https://doi.org/10.3390/en17164091 - 17 Aug 2024
Viewed by 499
Abstract
Variable renewable energy sources (VRESs) are essential for decarbonizing the energy sector, but they introduce significant uncertainty into power grids. This uncertainty necessitates increased flexibility to ensure reliable and efficient grid operations, impacting both short-term strategies and long-term planning. Effective management of VRESs [...] Read more.
Variable renewable energy sources (VRESs) are essential for decarbonizing the energy sector, but they introduce significant uncertainty into power grids. This uncertainty necessitates increased flexibility to ensure reliable and efficient grid operations, impacting both short-term strategies and long-term planning. Effective management of VRESs is particularly challenging for distribution system operators (DSOs) due to limited grid measurement and other data, complicating state estimation. This paper proposes a tractable framework that operates under low-observability conditions. The framework uses conservative linear approximations (CLAs) to manage grid constraints efficiently, requiring only the ranges of power injections typically available to operators. The objectives are twofold: first, to determine the amount and location of flexibility needed to prevent voltage violations and, second, to establish voltage measurement thresholds to trigger flexibility activation. Key contributions include the formulation of optimization problems to mitigate voltage issues, the introduction of flexibility provision triggered by voltage thresholds, and novel algorithms for determining flexibility and trigger points. The framework’s efficacy is demonstrated on IEEE 33-bus and UK 124-bus test systems, showing it can effectively mitigate grid voltage problems despite limited data. Full article
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