Real-Time Implementation of High Performance Control Scheme for Grid-Tied PV System for Power Quality Enhancement Based on MPPC-SVM Optimized by PSO Algorithm
<p dir="ltr">This paper proposes a high performance control scheme for a double function grid-tied double-stage PV system. It is based on model predictive power control with space vector modulation. This strategy uses a discrete model of the system based on the time domain to generat...
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2018
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| _version_ | 1864513511355318272 |
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| author | Abdelbasset Krama (16870008) |
| author2 | Laid Zellouma (18806713) Boualaga Rabhi (18806716) Shady Refaat (18806719) Mansour Bouzidi (18806722) |
| author2_role | author author author author |
| author_facet | Abdelbasset Krama (16870008) Laid Zellouma (18806713) Boualaga Rabhi (18806716) Shady Refaat (18806719) Mansour Bouzidi (18806722) |
| author_role | author |
| dc.creator.none.fl_str_mv | Abdelbasset Krama (16870008) Laid Zellouma (18806713) Boualaga Rabhi (18806716) Shady Refaat (18806719) Mansour Bouzidi (18806722) |
| dc.date.none.fl_str_mv | 2018-12-17T06:00:00Z |
| dc.identifier.none.fl_str_mv | 10.3390/en11123516 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Real-Time_Implementation_of_High_Performance_Control_Scheme_for_Grid-Tied_PV_System_for_Power_Quality_Enhancement_Based_on_MPPC-SVM_Optimized_by_PSO_Algorithm/26018119 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Electrical engineering Electronics, sensors and digital hardware shunt active power filter photovoltaic sliding mode PSO model predictive control |
| dc.title.none.fl_str_mv | Real-Time Implementation of High Performance Control Scheme for Grid-Tied PV System for Power Quality Enhancement Based on MPPC-SVM Optimized by PSO Algorithm |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">This paper proposes a high performance control scheme for a double function grid-tied double-stage PV system. It is based on model predictive power control with space vector modulation. This strategy uses a discrete model of the system based on the time domain to generate the average voltage vector at each sampling period, with the aim of canceling the errors between the estimated active and reactive power values and their references. Also, it imposes a sinusoidal waveform of the current at the grid side, which allows active power filtering without a harmonic currents identification phase. The latter attempts to reduce the size and cost of the system as well as providing better performance. In addition, it can be implemented in a low-cost control platform due to its simplicity. A double-stage PV system is selected due to its flexibility in control, unlike single-stage strategies. Sliding mode control-based particle swarm optimization (PSO) is used to track the maximum power of the PV system. It offers high accuracy and good robustness. Concerning DC bus voltage of the inverter, the anti-windup PI controller is tuned offline using the particle swarm optimization algorithm to deliver optimal performance in DC bus voltage regulation. The overall system has been designed and validated in an experimental prototype; the obtained results in different phases demonstrate the higher performance and the better efficiency of the proposed system in terms of power quality enhancement and PV power injection.</p><h2>Other Information</h2><p dir="ltr">Published in: Energies<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/en11123516" target="_blank">https://dx.doi.org/10.3390/en11123516</a></p><p dir="ltr">Additional institutions affiliated with: Electrical and Computer Engineering Department - TAMUQ</p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_1c83601827bdc1d8098082b0f02af3d0 |
| identifier_str_mv | 10.3390/en11123516 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/26018119 |
| publishDate | 2018 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Real-Time Implementation of High Performance Control Scheme for Grid-Tied PV System for Power Quality Enhancement Based on MPPC-SVM Optimized by PSO AlgorithmAbdelbasset Krama (16870008)Laid Zellouma (18806713)Boualaga Rabhi (18806716)Shady Refaat (18806719)Mansour Bouzidi (18806722)EngineeringElectrical engineeringElectronics, sensors and digital hardwareshunt active power filterphotovoltaicsliding modePSOmodel predictive control<p dir="ltr">This paper proposes a high performance control scheme for a double function grid-tied double-stage PV system. It is based on model predictive power control with space vector modulation. This strategy uses a discrete model of the system based on the time domain to generate the average voltage vector at each sampling period, with the aim of canceling the errors between the estimated active and reactive power values and their references. Also, it imposes a sinusoidal waveform of the current at the grid side, which allows active power filtering without a harmonic currents identification phase. The latter attempts to reduce the size and cost of the system as well as providing better performance. In addition, it can be implemented in a low-cost control platform due to its simplicity. A double-stage PV system is selected due to its flexibility in control, unlike single-stage strategies. Sliding mode control-based particle swarm optimization (PSO) is used to track the maximum power of the PV system. It offers high accuracy and good robustness. Concerning DC bus voltage of the inverter, the anti-windup PI controller is tuned offline using the particle swarm optimization algorithm to deliver optimal performance in DC bus voltage regulation. The overall system has been designed and validated in an experimental prototype; the obtained results in different phases demonstrate the higher performance and the better efficiency of the proposed system in terms of power quality enhancement and PV power injection.</p><h2>Other Information</h2><p dir="ltr">Published in: Energies<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/en11123516" target="_blank">https://dx.doi.org/10.3390/en11123516</a></p><p dir="ltr">Additional institutions affiliated with: Electrical and Computer Engineering Department - TAMUQ</p>2018-12-17T06:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3390/en11123516https://figshare.com/articles/journal_contribution/Real-Time_Implementation_of_High_Performance_Control_Scheme_for_Grid-Tied_PV_System_for_Power_Quality_Enhancement_Based_on_MPPC-SVM_Optimized_by_PSO_Algorithm/26018119CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/260181192018-12-17T06:00:00Z |
| spellingShingle | Real-Time Implementation of High Performance Control Scheme for Grid-Tied PV System for Power Quality Enhancement Based on MPPC-SVM Optimized by PSO Algorithm Abdelbasset Krama (16870008) Engineering Electrical engineering Electronics, sensors and digital hardware shunt active power filter photovoltaic sliding mode PSO model predictive control |
| status_str | publishedVersion |
| title | Real-Time Implementation of High Performance Control Scheme for Grid-Tied PV System for Power Quality Enhancement Based on MPPC-SVM Optimized by PSO Algorithm |
| title_full | Real-Time Implementation of High Performance Control Scheme for Grid-Tied PV System for Power Quality Enhancement Based on MPPC-SVM Optimized by PSO Algorithm |
| title_fullStr | Real-Time Implementation of High Performance Control Scheme for Grid-Tied PV System for Power Quality Enhancement Based on MPPC-SVM Optimized by PSO Algorithm |
| title_full_unstemmed | Real-Time Implementation of High Performance Control Scheme for Grid-Tied PV System for Power Quality Enhancement Based on MPPC-SVM Optimized by PSO Algorithm |
| title_short | Real-Time Implementation of High Performance Control Scheme for Grid-Tied PV System for Power Quality Enhancement Based on MPPC-SVM Optimized by PSO Algorithm |
| title_sort | Real-Time Implementation of High Performance Control Scheme for Grid-Tied PV System for Power Quality Enhancement Based on MPPC-SVM Optimized by PSO Algorithm |
| topic | Engineering Electrical engineering Electronics, sensors and digital hardware shunt active power filter photovoltaic sliding mode PSO model predictive control |