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A Vehicle-to-Grid System for Controlling Parameters of Microgrid System
The power system for large-scale adoption of hybrid electric vehicles can benefit from a distributed reserve provided by the vehicle-to-grid (V2G) concept. This study suggests a V2G technology that can effectively control frequency on a microgrid throughout a 24-h cycle. When usage is at its lowest...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422278/ https://www.ncbi.nlm.nih.gov/pubmed/37571635 http://dx.doi.org/10.3390/s23156852 |
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author | Sarda, Jigar Raj, Yashrajsinh Patel, Arpita Shukla, Aasheesh Kachhatiya, Satish Sain, Mangal |
author_facet | Sarda, Jigar Raj, Yashrajsinh Patel, Arpita Shukla, Aasheesh Kachhatiya, Satish Sain, Mangal |
author_sort | Sarda, Jigar |
collection | PubMed |
description | The power system for large-scale adoption of hybrid electric vehicles can benefit from a distributed reserve provided by the vehicle-to-grid (V2G) concept. This study suggests a V2G technology that can effectively control frequency on a microgrid throughout a 24-h cycle. When usage is at its lowest in the spring or fall, a microgrid is intended to be large enough to simulate a community of 2000 households. A 1:5 ratio of cars to households is realized by modelling 400 electric vehicles (EVs) as a basic model, indicating a typical case in the future. An in-depth analysis of the voltage, current, reactive, and active power is carried out for a microgrid. By coordinating control of diesel generation, renewable energy source (RES) generation, power exchange, and EV generation, the system frequency of a microgrid can be managed by regulating load demand with V2G devices. The proposed microgrid with V2G effectively manages energy and reduces the uncertain and variable nature of RES power generation with enhanced performance. System parameter variations have been investigated for various operating scenarios, and it has been discovered that error is confined to less than 5%. |
format | Online Article Text |
id | pubmed-10422278 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-104222782023-08-13 A Vehicle-to-Grid System for Controlling Parameters of Microgrid System Sarda, Jigar Raj, Yashrajsinh Patel, Arpita Shukla, Aasheesh Kachhatiya, Satish Sain, Mangal Sensors (Basel) Article The power system for large-scale adoption of hybrid electric vehicles can benefit from a distributed reserve provided by the vehicle-to-grid (V2G) concept. This study suggests a V2G technology that can effectively control frequency on a microgrid throughout a 24-h cycle. When usage is at its lowest in the spring or fall, a microgrid is intended to be large enough to simulate a community of 2000 households. A 1:5 ratio of cars to households is realized by modelling 400 electric vehicles (EVs) as a basic model, indicating a typical case in the future. An in-depth analysis of the voltage, current, reactive, and active power is carried out for a microgrid. By coordinating control of diesel generation, renewable energy source (RES) generation, power exchange, and EV generation, the system frequency of a microgrid can be managed by regulating load demand with V2G devices. The proposed microgrid with V2G effectively manages energy and reduces the uncertain and variable nature of RES power generation with enhanced performance. System parameter variations have been investigated for various operating scenarios, and it has been discovered that error is confined to less than 5%. MDPI 2023-08-01 /pmc/articles/PMC10422278/ /pubmed/37571635 http://dx.doi.org/10.3390/s23156852 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sarda, Jigar Raj, Yashrajsinh Patel, Arpita Shukla, Aasheesh Kachhatiya, Satish Sain, Mangal A Vehicle-to-Grid System for Controlling Parameters of Microgrid System |
title | A Vehicle-to-Grid System for Controlling Parameters of Microgrid System |
title_full | A Vehicle-to-Grid System for Controlling Parameters of Microgrid System |
title_fullStr | A Vehicle-to-Grid System for Controlling Parameters of Microgrid System |
title_full_unstemmed | A Vehicle-to-Grid System for Controlling Parameters of Microgrid System |
title_short | A Vehicle-to-Grid System for Controlling Parameters of Microgrid System |
title_sort | vehicle-to-grid system for controlling parameters of microgrid system |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422278/ https://www.ncbi.nlm.nih.gov/pubmed/37571635 http://dx.doi.org/10.3390/s23156852 |
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