Enhanced Control of Single-Stage PV-STATCOM Using Hybrid MPPT and Adaptive AHLMS for Power Quality Improvement

<p dir="ltr">This paper introduces an enhanced control strategy for a single-stage PV-STATCOM integrated with a power system. The system is designed to efficiently deliver solar energy to both the load and the grid while significantly improving power quality (PQ). It employs a hybrid...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Nagwa F. Ibrahim (17334201) (author)
مؤلفون آخرون: Mario Elzein (22173232) (author), Mohamed Metwally Mahmoud (15213516) (author), Ali M. El-Rifaie (21453134) (author), Hany S. Hussein (17854653) (author), Mohammed A. Elsayed Eid (23015847) (author)
منشور في: 2025
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author Nagwa F. Ibrahim (17334201)
author2 Mario Elzein (22173232)
Mohamed Metwally Mahmoud (15213516)
Ali M. El-Rifaie (21453134)
Hany S. Hussein (17854653)
Mohammed A. Elsayed Eid (23015847)
author2_role author
author
author
author
author
author_facet Nagwa F. Ibrahim (17334201)
Mario Elzein (22173232)
Mohamed Metwally Mahmoud (15213516)
Ali M. El-Rifaie (21453134)
Hany S. Hussein (17854653)
Mohammed A. Elsayed Eid (23015847)
author_role author
dc.creator.none.fl_str_mv Nagwa F. Ibrahim (17334201)
Mario Elzein (22173232)
Mohamed Metwally Mahmoud (15213516)
Ali M. El-Rifaie (21453134)
Hany S. Hussein (17854653)
Mohammed A. Elsayed Eid (23015847)
dc.date.none.fl_str_mv 2025-11-21T00:00:00Z
dc.identifier.none.fl_str_mv 10.1109/ACCESS.2025.3635707
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/Enhanced_Control_of_Single-Stage_PV-STATCOM_Using_Hybrid_MPPT_and_Adaptive_AHLMS_for_Power_Quality_Improvement/30720074
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Engineering
Control engineering, mechatronics and robotics
Electrical engineering
Information and computing sciences
Artificial intelligence
Adaptive hysteresis-based load management system algorithm
MPPT control schemes
Power quality
STATCOM
Solar energy control
dc.title.none.fl_str_mv Enhanced Control of Single-Stage PV-STATCOM Using Hybrid MPPT and Adaptive AHLMS for Power Quality Improvement
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <p dir="ltr">This paper introduces an enhanced control strategy for a single-stage PV-STATCOM integrated with a power system. The system is designed to efficiently deliver solar energy to both the load and the grid while significantly improving power quality (PQ). It employs a hybrid pelican and perturbs and observe and particle swarm optimization (PSO) based maximum power point tracking (MPPT) algorithm to consistently extract peak power from the PV array. Adaptive hysteresis-based load management system generates reference signals for both active and reactive grid currents for controlling the switching operation of a voltage source converter. In addition, this intelligent procedure tunes the control parameters in real-time to reduce tracking errors and adapts dynamically to environmental variations, including solar irradiance, load imbalances, and nonlinearities. The proposed PV-STATCOM is considered PQ-enhanced because it provides reactive power compensation, suppresses harmonic distortion (HD), stabilizes system voltages, and improves the power factor. The output current remains sinusoidal and fits well with minimal HD while complying with IEEE-519 standards. Mathematical simulation in MATLAB/Simulink were applied, along with comparisons to the most recent methodologies, ensures that this system outperforms others under varying sunlight, nonlinear, and unbalanced loading conditions.</p><h2 dir="ltr">Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" rel="noreferrer" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="http://10.1109/ACCESS.2025.3635707" rel="noreferrer" target="_blank">https://dx.doi.org/10.1109/ACCESS.2025.3635707</a></p>
eu_rights_str_mv openAccess
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identifier_str_mv 10.1109/ACCESS.2025.3635707
network_acronym_str Manara2
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oai_identifier_str oai:figshare.com:article/30720074
publishDate 2025
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rights_invalid_str_mv CC BY 4.0
spelling Enhanced Control of Single-Stage PV-STATCOM Using Hybrid MPPT and Adaptive AHLMS for Power Quality ImprovementNagwa F. Ibrahim (17334201)Mario Elzein (22173232)Mohamed Metwally Mahmoud (15213516)Ali M. El-Rifaie (21453134)Hany S. Hussein (17854653)Mohammed A. Elsayed Eid (23015847)EngineeringControl engineering, mechatronics and roboticsElectrical engineeringInformation and computing sciencesArtificial intelligenceAdaptive hysteresis-based load management system algorithmMPPT control schemesPower qualitySTATCOMSolar energy control<p dir="ltr">This paper introduces an enhanced control strategy for a single-stage PV-STATCOM integrated with a power system. The system is designed to efficiently deliver solar energy to both the load and the grid while significantly improving power quality (PQ). It employs a hybrid pelican and perturbs and observe and particle swarm optimization (PSO) based maximum power point tracking (MPPT) algorithm to consistently extract peak power from the PV array. Adaptive hysteresis-based load management system generates reference signals for both active and reactive grid currents for controlling the switching operation of a voltage source converter. In addition, this intelligent procedure tunes the control parameters in real-time to reduce tracking errors and adapts dynamically to environmental variations, including solar irradiance, load imbalances, and nonlinearities. The proposed PV-STATCOM is considered PQ-enhanced because it provides reactive power compensation, suppresses harmonic distortion (HD), stabilizes system voltages, and improves the power factor. The output current remains sinusoidal and fits well with minimal HD while complying with IEEE-519 standards. Mathematical simulation in MATLAB/Simulink were applied, along with comparisons to the most recent methodologies, ensures that this system outperforms others under varying sunlight, nonlinear, and unbalanced loading conditions.</p><h2 dir="ltr">Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" rel="noreferrer" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="http://10.1109/ACCESS.2025.3635707" rel="noreferrer" target="_blank">https://dx.doi.org/10.1109/ACCESS.2025.3635707</a></p>2025-11-21T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/ACCESS.2025.3635707https://figshare.com/articles/journal_contribution/Enhanced_Control_of_Single-Stage_PV-STATCOM_Using_Hybrid_MPPT_and_Adaptive_AHLMS_for_Power_Quality_Improvement/30720074CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/307200742025-11-21T00:00:00Z
spellingShingle Enhanced Control of Single-Stage PV-STATCOM Using Hybrid MPPT and Adaptive AHLMS for Power Quality Improvement
Nagwa F. Ibrahim (17334201)
Engineering
Control engineering, mechatronics and robotics
Electrical engineering
Information and computing sciences
Artificial intelligence
Adaptive hysteresis-based load management system algorithm
MPPT control schemes
Power quality
STATCOM
Solar energy control
status_str publishedVersion
title Enhanced Control of Single-Stage PV-STATCOM Using Hybrid MPPT and Adaptive AHLMS for Power Quality Improvement
title_full Enhanced Control of Single-Stage PV-STATCOM Using Hybrid MPPT and Adaptive AHLMS for Power Quality Improvement
title_fullStr Enhanced Control of Single-Stage PV-STATCOM Using Hybrid MPPT and Adaptive AHLMS for Power Quality Improvement
title_full_unstemmed Enhanced Control of Single-Stage PV-STATCOM Using Hybrid MPPT and Adaptive AHLMS for Power Quality Improvement
title_short Enhanced Control of Single-Stage PV-STATCOM Using Hybrid MPPT and Adaptive AHLMS for Power Quality Improvement
title_sort Enhanced Control of Single-Stage PV-STATCOM Using Hybrid MPPT and Adaptive AHLMS for Power Quality Improvement
topic Engineering
Control engineering, mechatronics and robotics
Electrical engineering
Information and computing sciences
Artificial intelligence
Adaptive hysteresis-based load management system algorithm
MPPT control schemes
Power quality
STATCOM
Solar energy control