Maximum Power Point Tracking Implementation by Dspace Controller Integrated Through Z-Source Inverter Using Particle Swarm Optimization Technique for Photovoltaic Applications
Maximum Power Point Tracking (MPPT) technique is used to extract maximum power from the photovoltaic system. This paper involves working on an enhanced Particle Swarm Optimization (PSO) based MPPT method for the photovoltaic (PV) system integrated through Z-Source inverter. The main benefit of the p...
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| Format: | Article |
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MDPI AG
2018-01-01
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| Series: | Applied Sciences |
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| Online Access: | http://www.mdpi.com/2076-3417/8/1/145 |
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| author | Kalaiarasi N. Subranshu Sekhar Dash Sanjeevikumar Padmanaban Paramasivam S. Pandav Kiran Morati |
| author_facet | Kalaiarasi N. Subranshu Sekhar Dash Sanjeevikumar Padmanaban Paramasivam S. Pandav Kiran Morati |
| author_sort | Kalaiarasi N. |
| collection | DOAJ |
| description | Maximum Power Point Tracking (MPPT) technique is used to extract maximum power from the photovoltaic system. This paper involves working on an enhanced Particle Swarm Optimization (PSO) based MPPT method for the photovoltaic (PV) system integrated through Z-Source inverter. The main benefit of the proposed method is the diminishing of the steady-state oscillation when the maximum power point (MPP) is located. Additionally, during an extreme environmental condition, such as partial shading and large fluctuations of irradiance and temperature, the proposed method has the capability to track the MPP. This algorithm is implemented in dspace 1104 controller. MATLAB simulations are carried out under varying irradiance and temperature conditions to evaluate its effectiveness. Its performance is compared with a conventional method like Perturb and observe (P&O) method. |
| first_indexed | 2024-12-22T14:43:04Z |
| format | Article |
| id | doaj.art-b2f1a1b610d5468191429259bf8c0a60 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-22T14:43:04Z |
| publishDate | 2018-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-b2f1a1b610d5468191429259bf8c0a602022-12-21T18:22:31ZengMDPI AGApplied Sciences2076-34172018-01-018114510.3390/app8010145app8010145Maximum Power Point Tracking Implementation by Dspace Controller Integrated Through Z-Source Inverter Using Particle Swarm Optimization Technique for Photovoltaic ApplicationsKalaiarasi N.0Subranshu Sekhar Dash1Sanjeevikumar Padmanaban2Paramasivam S.3Pandav Kiran Morati4Department of Electrical and Electronics Engineering, SRM University, Chennai 603203, IndiaDepartment of Electrical and Electronics Engineering, SRM University, Chennai 603203, IndiaDepartment of Energy Technology, Aalborg University, Esbjerg 6700, DenmarkDanfoss Industries Ltd., Chennai 600001, IndiaDepartment of Electrical and Electronics Engineering Science, University of Johannesburg, Auckland Park, Johannesburg 2006, South AfricaMaximum Power Point Tracking (MPPT) technique is used to extract maximum power from the photovoltaic system. This paper involves working on an enhanced Particle Swarm Optimization (PSO) based MPPT method for the photovoltaic (PV) system integrated through Z-Source inverter. The main benefit of the proposed method is the diminishing of the steady-state oscillation when the maximum power point (MPP) is located. Additionally, during an extreme environmental condition, such as partial shading and large fluctuations of irradiance and temperature, the proposed method has the capability to track the MPP. This algorithm is implemented in dspace 1104 controller. MATLAB simulations are carried out under varying irradiance and temperature conditions to evaluate its effectiveness. Its performance is compared with a conventional method like Perturb and observe (P&O) method.http://www.mdpi.com/2076-3417/8/1/145dspace controllernon-shoot through statePSOPV arrayshoot through stateSPWM techniqueZ-Source inverter |
| spellingShingle | Kalaiarasi N. Subranshu Sekhar Dash Sanjeevikumar Padmanaban Paramasivam S. Pandav Kiran Morati Maximum Power Point Tracking Implementation by Dspace Controller Integrated Through Z-Source Inverter Using Particle Swarm Optimization Technique for Photovoltaic Applications Applied Sciences dspace controller non-shoot through state PSO PV array shoot through state SPWM technique Z-Source inverter |
| title | Maximum Power Point Tracking Implementation by Dspace Controller Integrated Through Z-Source Inverter Using Particle Swarm Optimization Technique for Photovoltaic Applications |
| title_full | Maximum Power Point Tracking Implementation by Dspace Controller Integrated Through Z-Source Inverter Using Particle Swarm Optimization Technique for Photovoltaic Applications |
| title_fullStr | Maximum Power Point Tracking Implementation by Dspace Controller Integrated Through Z-Source Inverter Using Particle Swarm Optimization Technique for Photovoltaic Applications |
| title_full_unstemmed | Maximum Power Point Tracking Implementation by Dspace Controller Integrated Through Z-Source Inverter Using Particle Swarm Optimization Technique for Photovoltaic Applications |
| title_short | Maximum Power Point Tracking Implementation by Dspace Controller Integrated Through Z-Source Inverter Using Particle Swarm Optimization Technique for Photovoltaic Applications |
| title_sort | maximum power point tracking implementation by dspace controller integrated through z source inverter using particle swarm optimization technique for photovoltaic applications |
| topic | dspace controller non-shoot through state PSO PV array shoot through state SPWM technique Z-Source inverter |
| url | http://www.mdpi.com/2076-3417/8/1/145 |
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