Solar energy, radiant light and heat from the sun, has been reined by humans since ancient times using a range of ever-evolving technologies. Solar radiant energy accounts for most of the usable renewable energy on earth. Photovoltaic (PV) is a method of generating electrical power by converting solar radiation into direct current electricity using semiconductors that exhibit the photovoltaic effect.The tracking process of maximum power point is called maximum power point tracking (MPPT). The concept of Maximum Power Point Tracking is to be implemented which results in appreciable increase in the efficiency of the Photovoltaic System. Different schemes of MPPT algorithms such as Perturb and Observe.To overcome the difficulties of commonly used MPPT methods a unique controller called fuzzy logic controller is implemented.In this paper a novel back propagation neural network based MPP controller is proposed and it is shown that it can track the MPP more accurately than fuzzy logic based controller.Due to the conventional inherent nature of neural network based controller, it shows no oscillation around the MPP and hence no power loss owing to this fact.
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Mohapatra Biswajit,M tech:Studied Power Electronics and Drives at KIIT University.Assistant Professor at Centurion University Of Technology,CUTM,JATNI,ODISHA,INDIA
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Solar energy, radiant light and heat from the sun, has been reined by humans since ancient times using a range of ever-evolving technologies. Solar radiant energy accounts for most of the usable renewable energy on earth. Photovoltaic (PV) is a method of generating electrical power by converting solar radiation into direct current electricity using semiconductors that exhibit the photovoltaic effect.The tracking process of maximum power point is called maximum power point tracking (MPPT). The concept of Maximum Power Point Tracking is to be implemented which results in appreciable increase in the efficiency of the Photovoltaic System. Different schemes of MPPT algorithms such as Perturb and Observe.To overcome the difficulties of commonly used MPPT methods a unique controller called fuzzy logic controller is implemented.In this paper a novel back propagation neural network based MPP controller is proposed and it is shown that it can track the MPP more accurately than fuzzy logic based controller.Due to the conventional inherent nature of neural network based controller, it shows no oscillation around the MPP and hence no power loss owing to this fact. 124 pp. Englisch. Codice articolo 9783659366765
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Da: moluna, Greven, Germania
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mohapatra BiswajitMohapatra Biswajit,M tech:Studied Power Electronics and Drives at KIIT University.Assistant Professor at Centurion University Of Technology,CUTM,JATNI,ODISHA,INDIASolar energy, radiant light and heat from the su. Codice articolo 5151459
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Solar energy, radiant light and heat from the sun, has been reined by humans since ancient times using a range of ever-evolving technologies. Solar radiant energy accounts for most of the usable renewable energy on earth. Photovoltaic (PV) is a method of generating electrical power by converting solar radiation into direct current electricity using semiconductors that exhibit the photovoltaic effect.The tracking process of maximum power point is called maximum power point tracking (MPPT). The concept of Maximum Power Point Tracking is to be implemented which results in appreciable increase in the efficiency of the Photovoltaic System. Different schemes of MPPT algorithms such as Perturb and Observe.To overcome the difficulties of commonly used MPPT methods a unique controller called fuzzy logic controller is implemented.In this paper a novel back propagation neural network based MPP controller is proposed and it is shown that it can track the MPP more accurately than fuzzy logic based controller.Due to the conventional inherent nature of neural network based controller, it shows no oscillation around the MPP and hence no power loss owing to this fact.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 124 pp. Englisch. Codice articolo 9783659366765
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Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Solar energy, radiant light and heat from the sun, has been reined by humans since ancient times using a range of ever-evolving technologies. Solar radiant energy accounts for most of the usable renewable energy on earth. Photovoltaic (PV) is a method of generating electrical power by converting solar radiation into direct current electricity using semiconductors that exhibit the photovoltaic effect.The tracking process of maximum power point is called maximum power point tracking (MPPT). The concept of Maximum Power Point Tracking is to be implemented which results in appreciable increase in the efficiency of the Photovoltaic System. Different schemes of MPPT algorithms such as Perturb and Observe.To overcome the difficulties of commonly used MPPT methods a unique controller called fuzzy logic controller is implemented.In this paper a novel back propagation neural network based MPP controller is proposed and it is shown that it can track the MPP more accurately than fuzzy logic based controller.Due to the conventional inherent nature of neural network based controller, it shows no oscillation around the MPP and hence no power loss owing to this fact. Codice articolo 9783659366765
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Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: Neu. Study of a Grid Connected to PV System Using Different MPPT Algorithms | Finding Out MPP of PV Module by Using Different Soft Computing Methods | Biswajit Mohapatra (u. a.) | Taschenbuch | 124 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659366765 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 105259248
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