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Planning and Operation of Distributed Energy Resources in Smart Grids II

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

Deadline for manuscript submissions: 4 September 2024 | Viewed by 634

Special Issue Editors


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Guest Editor
Dipartimento di Ingegneria Civile e architettura, University of Catania, Catania, Italy
Interests: power systems analysis; renewable sources; integration of distributed generation; smart grids

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Guest Editor
DIEEI – Electrical Electronic and Computer Engineering, University of Catania, 95125 Catania, Italy
Interests: photovoltaic systems; forecasting for photovoltaic systems; photovoltaic/thermal systems; photovoltaic systems monitoring; fault detection in photovoltaic systems; distributed photovoltaic resources
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Special Issue Information

Dear Colleagues,

The management of distributed energy resources (DERs) in smart grids is the most promising solution to cope with the steadily increasing demand of electrical energy all over the world, accounting for the requirement of planning a sustainable future from both environmental and economic viewpoints. In fact, the presence of renewable generation injecting power into the electrical networks, as well as the presence of various types of DERs (e.g., electric vehicles, responsive loads, and distributed storage), leads to several critical conditions of unpredictability and insecurity, which require researchers and utilities to develop innovative approaches, such as the smart grid.

Within the smart grid framework, the centralized and distributed generation, transmission, and distribution, as well as the final users, communicate with each other and cooperate so as to enhance the efficiency and reliability of the networks, while new factors introduce security and predictability issues. This can be achieved by using ICT and sensoring technologies to implement intelligent monitoring and control functions. Then, the smart grid concept plays a crucial role in integrating high shares of distributed generators based on variable renewable energies’ sources.

Smart grids require the following challenging characteristics to be implemented effectively: safety, reliability, efficiency, affordability, environmental “cleanliness”, technical and economical optimization, interaction with electricity markets, self-healing ability, and the presence of an appropriate regulatory framework. Therefore, researchers are still involved in many studies and experimental implementations to find solutions to the technical, economic, and regulatory issues.

Any scientific work dealing with the aforementioned topics regarding the planning and operation of smart grids is welcome in this Special Issue.

Prof. Dr. Stefania Conti
Dr. Cristina Ventura
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

  • renewable generation
  • distributed energy resources
  • smart grids
  • microgrids
  • power quality
  • optimal planning and operation
  • smart protections
  • power electronics
  • reliability
  • adequacy

Published Papers (1 paper)

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Research

18 pages, 5100 KiB  
Article
Voltage Frequency Differential Protection Algorithm
by Zdravko Matišić, Tomislav Antić, Juraj Havelka and Tomislav Capuder
Energies 2024, 17(8), 1845; https://doi.org/10.3390/en17081845 - 12 Apr 2024
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Abstract
Advancements in new technologies, a reduction in CO2 emissions, and the rising demand for energy are causing a growth in the share of renewable energy sources. In distribution networks, an increasing number of distributed generators (DGs) makes the utility grid’s protection complex [...] Read more.
Advancements in new technologies, a reduction in CO2 emissions, and the rising demand for energy are causing a growth in the share of renewable energy sources. In distribution networks, an increasing number of distributed generators (DGs) makes the utility grid’s protection complex and demanding. Vector surge and rate-of-change-of-frequency are the established anti-islanding protection methods, recognizing that the standard paradigm for protection, involving distributed generation, cannot be set only once but has to be continuously updated following the requirements and changes in the system. One of the requirements is active participation in the preservation of system frequency and voltage, which can be interrupted if the DG trips and disconnects from the utility grid. Anti-islanding protection and spurious tripping can be avoided by implementing new algorithms and techniques. This paper presents a novel protection scheme based on a voltage frequency differential. The proposed algorithm employs remote and local frequency measurements in such a manner that, for the occurrence of a frequency difference, it is assumed that the DG is in an islanding state. In this article, we demonstrate the feasibility of the algorithm through numerical analysis of grid events and laboratory testing emulating real grid-measured values. The test results show that the algorithm is resilient to false tripping for non-islanding events and more reliable than conventional methods in islanding detection. The algorithm can be set to low-frequency differential values, drastically reducing the non-detection zone in any DG type, regardless of its size and voltage level at the point of common coupling. Unlike standard anti-islanding methods, the algorithm supports the ability of the DG to fault-ride through demand. Full article
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