Application of particle swarm optimization for maximum power point tracking of PV system with direct control method
This paper presents the application of particle swarm optimization (PSO) for maximum power point tracking (MPPT) of Photovoltaic (PV) system using the direct control method. The main contribution of the proposed scheme is the elimination of PI control loop which normally exists to manipulate the dut...
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my.utm.456022017-08-28T01:04:48Z http://eprints.utm.my/id/eprint/45602/ Application of particle swarm optimization for maximum power point tracking of PV system with direct control method Salam, Zainal Ishaque, Kashif Shamsudin, Amir This paper presents the application of particle swarm optimization (PSO) for maximum power point tracking (MPPT) of Photovoltaic (PV) system using the direct control method. The main contribution of the proposed scheme is the elimination of PI control loop which normally exists to manipulate the duty cycle. It is shown that the proposed MPPT controller has a similar structure to the conventional hill climbing method. However, the former exhibits superior dynamic and steady state response. It is also discovered that the controller performs satisfactorily during partial shading conditions of the PV array. It is able to track the global peak (GP) within ten sampling intervals. Simulation results indicate that proposed controller outperforms the hill climbing method for all type of environmental conditions. 2011 Conference or Workshop Item PeerReviewed Salam, Zainal and Ishaque, Kashif and Shamsudin, Amir (2011) Application of particle swarm optimization for maximum power point tracking of PV system with direct control method. In: IECON 2011 - 37th Annual Conference On IEEE Industrial Electronics Society. |
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This paper presents the application of particle swarm optimization (PSO) for maximum power point tracking (MPPT) of Photovoltaic (PV) system using the direct control method. The main contribution of the proposed scheme is the elimination of PI control loop which normally exists to manipulate the duty cycle. It is shown that the proposed MPPT controller has a similar structure to the conventional hill climbing method. However, the former exhibits superior dynamic and steady state response. It is also discovered that the controller performs satisfactorily during partial shading conditions of the PV array. It is able to track the global peak (GP) within ten sampling intervals. Simulation results indicate that proposed controller outperforms the hill climbing method for all type of environmental conditions. |
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Conference or Workshop Item |
author |
Salam, Zainal Ishaque, Kashif Shamsudin, Amir |
spellingShingle |
Salam, Zainal Ishaque, Kashif Shamsudin, Amir Application of particle swarm optimization for maximum power point tracking of PV system with direct control method |
author_facet |
Salam, Zainal Ishaque, Kashif Shamsudin, Amir |
author_sort |
Salam, Zainal |
title |
Application of particle swarm optimization for maximum power point tracking of PV system with direct control method |
title_short |
Application of particle swarm optimization for maximum power point tracking of PV system with direct control method |
title_full |
Application of particle swarm optimization for maximum power point tracking of PV system with direct control method |
title_fullStr |
Application of particle swarm optimization for maximum power point tracking of PV system with direct control method |
title_full_unstemmed |
Application of particle swarm optimization for maximum power point tracking of PV system with direct control method |
title_sort |
application of particle swarm optimization for maximum power point tracking of pv system with direct control method |
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2011 |
url |
http://eprints.utm.my/id/eprint/45602/ |
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1643651788978520064 |
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13.18916 |