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Adaptive frequency control in smart microgrid using controlled loads supported by real-time implementation

The operation of the system’s frequency can be strongly impacted by load change, solar irradiation, wind disturbance, and system parametric uncertainty. In this paper, the application of an adaptive controller based on a hybrid Jaya-Balloon optimizer (JBO) for frequency oscillation mitigation in a s...

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Autores principales: Ewais, Ahmed M., Elnoby, Ahmed M., Mohamed, Tarek Hassan, Mahmoud, Mohamed Metwally, Qudaih, Yaser, Hassan, Ammar M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10096276/
https://www.ncbi.nlm.nih.gov/pubmed/37043463
http://dx.doi.org/10.1371/journal.pone.0283561
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author Ewais, Ahmed M.
Elnoby, Ahmed M.
Mohamed, Tarek Hassan
Mahmoud, Mohamed Metwally
Qudaih, Yaser
Hassan, Ammar M.
author_facet Ewais, Ahmed M.
Elnoby, Ahmed M.
Mohamed, Tarek Hassan
Mahmoud, Mohamed Metwally
Qudaih, Yaser
Hassan, Ammar M.
author_sort Ewais, Ahmed M.
collection PubMed
description The operation of the system’s frequency can be strongly impacted by load change, solar irradiation, wind disturbance, and system parametric uncertainty. In this paper, the application of an adaptive controller based on a hybrid Jaya-Balloon optimizer (JBO) for frequency oscillation mitigation in a single area smart μG system is studied. The proposed adaptive control approach is applied to control the flexible loads such as HPs and EVs by using the JBO which efficiently controls the system frequency. The suggested technique uses the power balance equation to provide a dynamic output feedback controller. The main target is to regulate the frequency and power of an islanded single area μG powered by a PV and a diesel generator with integrations of smart bidirectional loads (HPs and EVs) that are controlled by the proposed adaptive controller in presence of electrical random loads. Moreover, the JBO is designed to minimize the effect of the system load disturbance and parameter variations. For a better assessment, the proposed controller using JBO technique is compared with two other methods which are the coefficient diagram method (CDM) and adaptive one using classical the Jaya technique. In the obtained results, the frequency deviation is found as 0.0015 Hz, which is fully acceptable and in the range of the IEEE standards. The MATLAB simulation results reveal that the suggested technique has a substantial advantage over other techniques in terms of frequency stability in the face of concurrent disturbances and parameter uncertainties. The real-time simulation tests are presented using a dSPACE DS1103 connected to another PC via QUARC pid_e data acquisition card and confirmed the MATLAB simulation results.
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spelling pubmed-100962762023-04-13 Adaptive frequency control in smart microgrid using controlled loads supported by real-time implementation Ewais, Ahmed M. Elnoby, Ahmed M. Mohamed, Tarek Hassan Mahmoud, Mohamed Metwally Qudaih, Yaser Hassan, Ammar M. PLoS One Research Article The operation of the system’s frequency can be strongly impacted by load change, solar irradiation, wind disturbance, and system parametric uncertainty. In this paper, the application of an adaptive controller based on a hybrid Jaya-Balloon optimizer (JBO) for frequency oscillation mitigation in a single area smart μG system is studied. The proposed adaptive control approach is applied to control the flexible loads such as HPs and EVs by using the JBO which efficiently controls the system frequency. The suggested technique uses the power balance equation to provide a dynamic output feedback controller. The main target is to regulate the frequency and power of an islanded single area μG powered by a PV and a diesel generator with integrations of smart bidirectional loads (HPs and EVs) that are controlled by the proposed adaptive controller in presence of electrical random loads. Moreover, the JBO is designed to minimize the effect of the system load disturbance and parameter variations. For a better assessment, the proposed controller using JBO technique is compared with two other methods which are the coefficient diagram method (CDM) and adaptive one using classical the Jaya technique. In the obtained results, the frequency deviation is found as 0.0015 Hz, which is fully acceptable and in the range of the IEEE standards. The MATLAB simulation results reveal that the suggested technique has a substantial advantage over other techniques in terms of frequency stability in the face of concurrent disturbances and parameter uncertainties. The real-time simulation tests are presented using a dSPACE DS1103 connected to another PC via QUARC pid_e data acquisition card and confirmed the MATLAB simulation results. Public Library of Science 2023-04-12 /pmc/articles/PMC10096276/ /pubmed/37043463 http://dx.doi.org/10.1371/journal.pone.0283561 Text en © 2023 Ewais et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Ewais, Ahmed M.
Elnoby, Ahmed M.
Mohamed, Tarek Hassan
Mahmoud, Mohamed Metwally
Qudaih, Yaser
Hassan, Ammar M.
Adaptive frequency control in smart microgrid using controlled loads supported by real-time implementation
title Adaptive frequency control in smart microgrid using controlled loads supported by real-time implementation
title_full Adaptive frequency control in smart microgrid using controlled loads supported by real-time implementation
title_fullStr Adaptive frequency control in smart microgrid using controlled loads supported by real-time implementation
title_full_unstemmed Adaptive frequency control in smart microgrid using controlled loads supported by real-time implementation
title_short Adaptive frequency control in smart microgrid using controlled loads supported by real-time implementation
title_sort adaptive frequency control in smart microgrid using controlled loads supported by real-time implementation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10096276/
https://www.ncbi.nlm.nih.gov/pubmed/37043463
http://dx.doi.org/10.1371/journal.pone.0283561
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