Maximum power point tracking for PV system under partial shading condition via particle swarm optimization
Performance of Photovoltaic (PV) system is greatly dependent on the solar irradiation and operating temperature. Due to partial shading condition, the characteristics of a PV system considerably change and often exhibit several local maxima with one global maxima. Conventional Maximum Power Point Tr...
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my.utm.293512017-02-04T07:40:55Z http://eprints.utm.my/id/eprint/29351/ Maximum power point tracking for PV system under partial shading condition via particle swarm optimization Ishaque, K. Salam, Zainal Taheri, H. Shamsudin, Mohamad Amir TK Electrical engineering. Electronics Nuclear engineering Performance of Photovoltaic (PV) system is greatly dependent on the solar irradiation and operating temperature. Due to partial shading condition, the characteristics of a PV system considerably change and often exhibit several local maxima with one global maxima. Conventional Maximum Power Point Tracking (MPPT) techniques can easily be trapped at local maxima under partial shading. This significantly reduced the energy yield of the PV systems. In order to solve this problem, this paper proposes a Maximum Power Point tracking algorithm based on particle swarm optimization (PSO) that is capable of tracking global MPP under partial shaded conditions. The performance of proposed algorithm is evaluated by means of simulation in MATLAB Simulink. The proposed algorithm is applied to a grid connected PV system, in which a Boost (step up) DC-DC converter satisfactorily tracks the global peak. IEEE 2011 Book Section PeerReviewed Ishaque, K. and Salam, Zainal and Taheri, H. and Shamsudin, Mohamad Amir (2011) Maximum power point tracking for PV system under partial shading condition via particle swarm optimization. In: 2011 IEEE Applied Power Electronics Colloquium (IAPEC). IEEE, USA, 005-009. ISBN 978-145770008-8 http://dx.doi.org/10.1109/IAPEC.2011.5779866 10.1109/IAPEC.2011.5779866 |
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TK Electrical engineering. Electronics Nuclear engineering Ishaque, K. Salam, Zainal Taheri, H. Shamsudin, Mohamad Amir Maximum power point tracking for PV system under partial shading condition via particle swarm optimization |
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Performance of Photovoltaic (PV) system is greatly dependent on the solar irradiation and operating temperature. Due to partial shading condition, the characteristics of a PV system considerably change and often exhibit several local maxima with one global maxima. Conventional Maximum Power Point Tracking (MPPT) techniques can easily be trapped at local maxima under partial shading. This significantly reduced the energy yield of the PV systems. In order to solve this problem, this paper proposes a Maximum Power Point tracking algorithm based on particle swarm optimization (PSO) that is capable of tracking global MPP under partial shaded conditions. The performance of proposed algorithm is evaluated by means of simulation in MATLAB Simulink. The proposed algorithm is applied to a grid connected PV system, in which a Boost (step up) DC-DC converter satisfactorily tracks the global peak. |
format |
Book Section |
author |
Ishaque, K. Salam, Zainal Taheri, H. Shamsudin, Mohamad Amir |
author_facet |
Ishaque, K. Salam, Zainal Taheri, H. Shamsudin, Mohamad Amir |
author_sort |
Ishaque, K. |
title |
Maximum power point tracking for PV system under partial shading condition via particle swarm optimization |
title_short |
Maximum power point tracking for PV system under partial shading condition via particle swarm optimization |
title_full |
Maximum power point tracking for PV system under partial shading condition via particle swarm optimization |
title_fullStr |
Maximum power point tracking for PV system under partial shading condition via particle swarm optimization |
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Maximum power point tracking for PV system under partial shading condition via particle swarm optimization |
title_sort |
maximum power point tracking for pv system under partial shading condition via particle swarm optimization |
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IEEE |
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2011 |
url |
http://eprints.utm.my/id/eprint/29351/ http://dx.doi.org/10.1109/IAPEC.2011.5779866 |
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13.211869 |