Dynamic Performance Enhancement of a Renewable Energy System for Grid Connection and Stand-Alone Operation with Battery Storage
This paper introduces a new formulated control scheme for enhancing the dynamic performance of a wind driven surface permanent magnet synchronous generator. The designed control scheme is based on predictive control theory, in which the shortcomings of previous predictive controllers are avoided. To...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-01-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/3/1002 |
| _version_ | 1797488031371886592 |
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| author | Mahmoud A. Mossa Olfa Gam Nicola Bianchi |
| author_facet | Mahmoud A. Mossa Olfa Gam Nicola Bianchi |
| author_sort | Mahmoud A. Mossa |
| collection | DOAJ |
| description | This paper introduces a new formulated control scheme for enhancing the dynamic performance of a wind driven surface permanent magnet synchronous generator. The designed control scheme is based on predictive control theory, in which the shortcomings of previous predictive controllers are avoided. To visualize the effectiveness of the proposed control scheme, the performance of the generator was dynamically evaluated under two different operating regimes: grid connection and standalone operation in which a battery storage system was used to enhance the power delivery to the isolated loads. In addition, a detailed performance comparison between the proposed controller and traditional predictive controllers was carried out. The traditional control topologies used for comparison were the model predictive direct power control, model predictive direct torque control, and model predictive current control. A detailed description of each control scheme is introduced illustrating how it is configured to manage the generator operation. Furthermore, to achieve the optimal exploitation of the wind energy and limit the power in case of exceeding the nominal wind speed, maximum power point tracking and blade pitch angle controls were adopted. A detailed performance comparison effectively outlined the features of each controller, confirming the superiority of the proposed control scheme over other predictive controllers. This fact is illustrated through its simple structure, low ripples, low computation burdens and low current harmonics obtained with the proposed control scheme. |
| first_indexed | 2024-03-09T23:56:19Z |
| format | Article |
| id | doaj.art-46fd0a43268040a9bbf7a4e45e2dae8a |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T23:56:19Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-46fd0a43268040a9bbf7a4e45e2dae8a2023-11-23T16:23:35ZengMDPI AGEnergies1996-10732022-01-01153100210.3390/en15031002Dynamic Performance Enhancement of a Renewable Energy System for Grid Connection and Stand-Alone Operation with Battery StorageMahmoud A. Mossa0Olfa Gam1Nicola Bianchi2Electrical Engineering Department, Faculty of Engineering, Minia University, Minia 61111, EgyptDépartement École de Genie, Université Québéc en Abitibi Témiscamingue, Rouyn-Noranda, QC J9X 5E4, CanadaDepartment of Industrial Engineering, University of Padova, Via Gradenigo 6/a, 35131 Padova, ItalyThis paper introduces a new formulated control scheme for enhancing the dynamic performance of a wind driven surface permanent magnet synchronous generator. The designed control scheme is based on predictive control theory, in which the shortcomings of previous predictive controllers are avoided. To visualize the effectiveness of the proposed control scheme, the performance of the generator was dynamically evaluated under two different operating regimes: grid connection and standalone operation in which a battery storage system was used to enhance the power delivery to the isolated loads. In addition, a detailed performance comparison between the proposed controller and traditional predictive controllers was carried out. The traditional control topologies used for comparison were the model predictive direct power control, model predictive direct torque control, and model predictive current control. A detailed description of each control scheme is introduced illustrating how it is configured to manage the generator operation. Furthermore, to achieve the optimal exploitation of the wind energy and limit the power in case of exceeding the nominal wind speed, maximum power point tracking and blade pitch angle controls were adopted. A detailed performance comparison effectively outlined the features of each controller, confirming the superiority of the proposed control scheme over other predictive controllers. This fact is illustrated through its simple structure, low ripples, low computation burdens and low current harmonics obtained with the proposed control scheme.https://www.mdpi.com/1996-1073/15/3/1002PMSGpredictive controlwind powerMPPTbattery storageripples |
| spellingShingle | Mahmoud A. Mossa Olfa Gam Nicola Bianchi Dynamic Performance Enhancement of a Renewable Energy System for Grid Connection and Stand-Alone Operation with Battery Storage Energies PMSG predictive control wind power MPPT battery storage ripples |
| title | Dynamic Performance Enhancement of a Renewable Energy System for Grid Connection and Stand-Alone Operation with Battery Storage |
| title_full | Dynamic Performance Enhancement of a Renewable Energy System for Grid Connection and Stand-Alone Operation with Battery Storage |
| title_fullStr | Dynamic Performance Enhancement of a Renewable Energy System for Grid Connection and Stand-Alone Operation with Battery Storage |
| title_full_unstemmed | Dynamic Performance Enhancement of a Renewable Energy System for Grid Connection and Stand-Alone Operation with Battery Storage |
| title_short | Dynamic Performance Enhancement of a Renewable Energy System for Grid Connection and Stand-Alone Operation with Battery Storage |
| title_sort | dynamic performance enhancement of a renewable energy system for grid connection and stand alone operation with battery storage |
| topic | PMSG predictive control wind power MPPT battery storage ripples |
| url | https://www.mdpi.com/1996-1073/15/3/1002 |
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