Intelligent Control of Power Grid and Renewable Energy System

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".

Deadline for manuscript submissions: 15 May 2024 | Viewed by 674

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Guest Editor
Electronic Engineering department, Universitat Politecnica de Valencia, Camí de Vera, 46022 València, Spain
Interests: power electronics; renewable energies; smart grid; EV batteries chargers
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Guest Editor
Grupo de Sistemas Electrónicos Industriales del Departamento de Ingeniería Electrónica, Universidad Politécnica de Valencia, Camino de Vera s/n, 46022 Valencia, Spain
Interests: power electronics; renewable energies; smart grid; EV batteries chargers

Special Issue Information

Dear Colleagues,

The increasing development of renewable energies, together with the growing fleet of electric vehicles worldwide, confronts electricity grids with an extraordinary challenge: the management of numerous supply points in which consumers can also act as energy generators (prosumers). This scenario, combined with the development of communications for decentralised resource management, suggests that smart grids will be the best tool to successfully meet the challenge. In this strongly decentralised context, intelligent control techniques, such as neural networks, machine learning, etc., can offer efficient solutions to maintain the quality of electricity supply.

Potential topics include, but are not limited to, the following:

  • Smart grids;
  • Communication technologies for energy resource management;
  • Intelligent control techniques applied to management of power grids;
  • Provision of ancillary services (reactive, phase current balancing, peak shaving, frequency control, etc.) to the grid;
  • Integration of energy storage systems in power grids;
  • Intelligent management of renewable energy resources, such as photovoltaic, wind, etc.;
  • Intelligent control techniques applied to power electronic converters.

Prof. Dr. Emilio Figueres
Dr. Ivan Patrao
Guest Editors

Manuscript Submission Information

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Keywords

  • smart grid
  • distributed generation
  • intelligent control technology
  • renewable energy

Published Papers (1 paper)

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Research

16 pages, 3723 KiB  
Article
S3DK: An Open Source Toolkit for Prototyping Synchrophasor Applications
by Maxime Baudette, Luigi Vanfretti and Shashank Tyagi
Electronics 2024, 13(8), 1513; https://doi.org/10.3390/electronics13081513 - 16 Apr 2024
Viewed by 445
Abstract
Synchrophasor data contain a trove of information on the power system and its dynamics. These measurements have a high potential to unlock our ability to cope with changing system conditions and challenges posed by distributed and intermittent energy sources. While Phasor Measurement Units [...] Read more.
Synchrophasor data contain a trove of information on the power system and its dynamics. These measurements have a high potential to unlock our ability to cope with changing system conditions and challenges posed by distributed and intermittent energy sources. While Phasor Measurement Units (PMUs) have seen a large deployment in the grid, their applications are limited by the software platforms that are deployed in control centers to monitor the grid. In this paper, we present an open source toolkit that enables fast prototyping of PMU applications. The toolkit is akin to a software development kit (SDK) for synchrophasor applications, providing a number of functionalities that enable high-level PMU application development within the LabVIEW environment. This Smart-grid Synchrophasor SDK (S3DK) proposes a paradigm based on the concept of distributed applications, which allows development and deployment to be independent of the existing software stack deployed in control centers and to leverage PMU data at any level of a synchrophasor system hierarchy. This paper serves to introduce the S3DK, which is released as open source software to facilitate broader and fast prototyping of synchrophasor applications. Full article
(This article belongs to the Special Issue Intelligent Control of Power Grid and Renewable Energy System)
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