Adaptive Control Strategy for Real-Time Regulation of PEV Charging in Response to Fluctuating Renewable Energy Supply

This study is concerned with the coordinated charging pattern of plugin electric vehicles (PEVs) by using a simulation and control framework. The first of these is to develop a novel control technique based on a grid structure to manage the charging power of PEVs in reaction to fluctuating renewable...

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Main Authors: Jayasri Nemala, Devi V.S. Anusuya, Tewari Preeti, Lakhanpal Sorabh, Abedi Tamam Ali Abd Ulabbas, Bodha Kapil
Format: Article
Language:English
Published: EDP Sciences 2025-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/16/e3sconf_icregcsd2025_01006.pdf
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author Jayasri Nemala
Devi V.S. Anusuya
Tewari Preeti
Lakhanpal Sorabh
Abedi Tamam Ali Abd Ulabbas
Bodha Kapil
author_facet Jayasri Nemala
Devi V.S. Anusuya
Tewari Preeti
Lakhanpal Sorabh
Abedi Tamam Ali Abd Ulabbas
Bodha Kapil
author_sort Jayasri Nemala
collection DOAJ
description This study is concerned with the coordinated charging pattern of plugin electric vehicles (PEVs) by using a simulation and control framework. The first of these is to develop a novel control technique based on a grid structure to manage the charging power of PEVs in reaction to fluctuating renewable energy sources. The grid is assumed to control and communicate instantly and directly through a common control signal the electricity used for PEV charging. Based on the principle of market-based demand modeling, the subsequent theoretical formulation involves a system of partial differential equations for concurrent PEV charging. It is then applied to future real world driving data and compared to a PEV Monte Carlo model. Moreover, the principles of SM control are introduced to synthesize the robust output feedback controller for the system without state error. The fluctuating PEV count is addressed by focusing on the sole observable output: the instantaneous mismatch of supply and demand of renewable electricity by customers. The performance of the controller is evaluated in the present research based on a real wind power state trajectory through numerical simulations of the system.
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id doaj-art-00aecd2fd0284d58a93c8f1c54a6bf48
institution DOAJ
issn 2267-1242
language English
publishDate 2025-01-01
publisher EDP Sciences
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series E3S Web of Conferences
spelling doaj-art-00aecd2fd0284d58a93c8f1c54a6bf482025-08-20T03:02:18ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016160100610.1051/e3sconf/202561601006e3sconf_icregcsd2025_01006Adaptive Control Strategy for Real-Time Regulation of PEV Charging in Response to Fluctuating Renewable Energy SupplyJayasri Nemala0Devi V.S. Anusuya1Tewari Preeti2Lakhanpal Sorabh3Abedi Tamam Ali Abd Ulabbas4Bodha Kapil5Department of CSE-AI&ML, MLR Institute of TechnologyDepartment of Applied Sciences, New Horizon College of EngineeringLloyd Law College, Plot No. 11, Knowledge Park IILovely Professional UniversityMedical Technology, The Islamic UniversityDepartment of Electrical & Electronics Engineering, Galgotias College of Engineering & TechnologyThis study is concerned with the coordinated charging pattern of plugin electric vehicles (PEVs) by using a simulation and control framework. The first of these is to develop a novel control technique based on a grid structure to manage the charging power of PEVs in reaction to fluctuating renewable energy sources. The grid is assumed to control and communicate instantly and directly through a common control signal the electricity used for PEV charging. Based on the principle of market-based demand modeling, the subsequent theoretical formulation involves a system of partial differential equations for concurrent PEV charging. It is then applied to future real world driving data and compared to a PEV Monte Carlo model. Moreover, the principles of SM control are introduced to synthesize the robust output feedback controller for the system without state error. The fluctuating PEV count is addressed by focusing on the sole observable output: the instantaneous mismatch of supply and demand of renewable electricity by customers. The performance of the controller is evaluated in the present research based on a real wind power state trajectory through numerical simulations of the system.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/16/e3sconf_icregcsd2025_01006.pdf
spellingShingle Jayasri Nemala
Devi V.S. Anusuya
Tewari Preeti
Lakhanpal Sorabh
Abedi Tamam Ali Abd Ulabbas
Bodha Kapil
Adaptive Control Strategy for Real-Time Regulation of PEV Charging in Response to Fluctuating Renewable Energy Supply
E3S Web of Conferences
title Adaptive Control Strategy for Real-Time Regulation of PEV Charging in Response to Fluctuating Renewable Energy Supply
title_full Adaptive Control Strategy for Real-Time Regulation of PEV Charging in Response to Fluctuating Renewable Energy Supply
title_fullStr Adaptive Control Strategy for Real-Time Regulation of PEV Charging in Response to Fluctuating Renewable Energy Supply
title_full_unstemmed Adaptive Control Strategy for Real-Time Regulation of PEV Charging in Response to Fluctuating Renewable Energy Supply
title_short Adaptive Control Strategy for Real-Time Regulation of PEV Charging in Response to Fluctuating Renewable Energy Supply
title_sort adaptive control strategy for real time regulation of pev charging in response to fluctuating renewable energy supply
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/16/e3sconf_icregcsd2025_01006.pdf
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