Daphale Dhanraj (28 results)

Taschenbuch. Condition: Neu. Interleaved Flyback Inverter for Photovoltaic Application | A Control Scheme to Achieve High Efficiency | Dhanraj Daphale | Taschenbuch | 52 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202519137 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Taschenbuch. Condition: Neu. A Novel Concept of Grid Power Control Using Artificial Intelligence | Dhanraj Daphale (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207460151 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Condition: Neu. Un nouveau concept de contrôle de la puissance du réseau à l'aide de l'intelligence artificielle | Dhanraj Daphale (u. a.) | Taschenbuch | Französisch | 2024 | Editions Notre Savoir | EAN 9786207209200 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

Taschenbuch. Condition: Neu. Um novo conceito de controlo de energia da rede utilizando inteligência artificial | Dhanraj Daphale (u. a.) | Taschenbuch | Portugiesisch | 2024 | Edições Nosso Conhecimento | EAN 9786207209224 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condition: Neu. Un nuovo concetto di controllo dell'energia di rete tramite l'intelligenza artificiale | Dhanraj Daphale (u. a.) | Taschenbuch | Italienisch | 2024 | Edizioni Sapienza | EAN 9786207209217 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Electricity demand is progressively increasing everywhere in the world. The best solution of this problem is use of the renewable energy sources. Solar energy is one such type of energy which gives the more efficiency. This study represents the analysis and design of inverter for the photovoltaic application by using the interleaved flyback topology. The another main important aim of this study is to reduce the cost of system which will helpful for achieving the more efficiency. This cost reduction is achieved by using the converter topology making the use of small size of converter. With the help of this technology the reduction of the ripples is easily possible which plays the vital role in the design of the system. Maximum efficiency and near about unity power factor is possible by using this scheme. 52 pp. Englisch.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents the control strategy and steady-state model analysis of a grid-connected wind-photovoltaic (PV) hybrid power system that is proposed. PV power, wind power, and an intelligent power controller make up the system. PV generation systems with non-linear characteristics were subjected to an analysis of their performance using the General Regression Neural Network (GRNN) method. A radial basis function network-sliding mode (RBFNSM) method with good performance for online training is developed to determine the turbine speed in order to maximize wind power extraction.The intelligent controller is made up of a GRNN for maximum power point tracking (MPPT) control and an RBFNSM for rapid and steady power control response. The PV system uses GRNN, and the wind turbine's pitch angle is regulated by RBFNSM. The output signal is used to drive the boost converters in order to achieve the MPPT. The findings of the simulation verify that the suggested hybrid generation system can produce high efficiency when MPPT is used. 52 pp. Englisch.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 60 pp. Spanisch.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Daphale DhanrajMr.Dhanraj Daphale completed his graduation from Solapur University in the stream of Electrical Engineering.He completed his master degree from RTMNU university Nagpur.He is currently working as Assistant Professor in .…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book presents the control strategy and steady-state model analysis of a grid-connected wind-photovoltaic (PV) hybrid power system that is proposed. PV power, wind power, and an intelligent power controller make up the system. PV generation systems with.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Electricity demand is progressively increasing everywhere in the world. The best solution of this problem is use of the renewable energy sources. Solar energy is one such type of energy which gives the more efficiency. This study represents the analysis and design of inverter for the photovoltaic application by using the interleaved flyback topology. The another main important aim of this study is to reduce the cost of system which will helpful for achieving the more efficiency. This cost reduction is achieved by using the converter topology making the use of small size of converter. With the help of this technology the reduction of the ripples is easily possible which plays the vital role in the design of the system. Maximum efficiency and near about unity power factor is possible by using this scheme.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents the control strategy and steady-state model analysis of a grid-connected wind-photovoltaic (PV) hybrid power system that is proposed. PV power, wind power, and an intelligent power controller make up the system. PV generation systems with non-linear characteristics were subjected to an analysis of their performance using the General Regression Neural Network (GRNN) method. A radial basis function network-sliding mode (RBFNSM) method with good performance for online training is developed to determine the turbine speed in order to maximize wind power extraction.The intelligent controller is made up of a GRNN for maximum power point tracking (MPPT) control and an RBFNSM for rapid and steady power control response. The PV system uses GRNN, and the wind turbine's pitch angle is regulated by RBFNSM. The output signal is used to drive the boost converters in order to achieve the MPPT. The findings of the simulation verify that the suggested hybrid generation system can produce high efficiency when MPPT is used.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Electricity demand is progressively increasing everywhere in the world. The best solution of this problem is use of the renewable energy sources. Solar energy is one such type of energy which gives the more efficiency. This study represents the analysis and design of inverter for the photovoltaic application by using the interleaved flyback topology. The another main important aim of this study is to reduce the cost of system which will helpful for achieving the more efficiency. This cost reduction is achieved by using the converter topology making the use of small size of converter. With the help of this technology the reduction of the ripples is easily possible which plays the vital role in the design of the system. Maximum efficiency and near about unity power factor is possible by using this scheme.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 60 pp. Französisch.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents the control strategy and steady-state model analysis of a grid-connected wind-photovoltaic (PV) hybrid power system that is proposed. PV power, wind power, and an intelligent power controller make up the system. PV generation systems with non-linear characteristics were subjected to an analysis of their performance using the General Regression Neural Network (GRNN) method. A radial basis function network-sliding mode (RBFNSM) method with good performance for online training is developed to determine the turbine speed in order to maximize wind power extraction.The intelligent controller is made up of a GRNN for maximum power point tracking (MPPT) control and an RBFNSM for rapid and steady power control response. The PV system uses GRNN, and the wind turbine's pitch angle is regulated by RBFNSM. The output signal is used to drive the boost converters in order to achieve the MPPT. The findings of the simulation verify that the suggested hybrid generation system can produce high efficiency when MPPT is used.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Este libro presenta la estrategia de control y el análisis del modelo en estado estacionario de un sistema híbrido eólico-fotovoltaico (FV) conectado a la red eléctrica. El sistema está formado por energía fotovoltaica, energía eólica y un controlador de potencia inteligente. Los sistemas de generación fotovoltaica con características no lineales se sometieron a un análisis de su rendimiento mediante el método de red neuronal de regresión general (GRNN). Para determinar la velocidad de la turbina con el fin de maximizar la extracción de energía eólica, se desarrolla un método de red de funciones de base radial y modo deslizante (RBFNSM) con un buen rendimiento para el entrenamiento en línea.El controlador inteligente está compuesto por una GRNN para el control del seguimiento del punto de máxima potencia (MPPT) y un RBFNSM para una respuesta de control de potencia rápida y estable. El sistema fotovoltaico utiliza GRNN, y el ángulo de inclinación del aerogenerador se regula mediante RBFNSM. La señal de salida se utiliza para accionar los convertidores elevadores con el fin de lograr el MPPT. Los resultados de la simulación verifican que el sistema de generación híbrido propuesto puede producir una alta eficiencia cuando se utiliza MPPT.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Spanisch.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Ce livre présente la stratégie de contrôle et l'analyse du modèle en régime permanent d'un système électrique hybride éolien-photovoltaïque (PV) connecté au réseau qui est proposé. Le système est composé d'une puissance photovoltaïque, d'une puissance éolienne et d'un contrôleur de puissance intelligent. Les systèmes de production photovoltaïque présentant des caractéristiques non linéaires ont été soumis à une analyse de leurs performances à l'aide de la méthode du réseau neuronal de régression générale (GRNN). Le contrôleur intelligent est composé d'un GRNN pour le suivi du point de puissance maximale (MPPT) et d'un RBFNSM pour une réponse rapide et stable du contrôle de la puissance. Le système photovoltaïque utilise le GRNN et l'angle d'inclinaison de l'éolienne est régulé par le RBFNSM. Le signal de sortie est utilisé pour piloter les convertisseurs boost afin d'atteindre le MPPT. Les résultats de la simulation confirment que le système de production hybride proposé peut produire un rendement élevé lorsque le MPPT est utilisé.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 60 pp. Portugiesisch.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 60 pp. Italienisch.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 60 pp. Deutsch.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Ce livre présente la stratégie de contrôle et l'analyse du modèle en régime permanent d'un système électrique hybride éolien-photovoltaïque (PV) connecté au réseau qui est proposé. Le système est composé d'une puissance photovoltaïque, d'une puissance éolienne et d'un contrôleur de puissance intelligent. Les systèmes de production photovoltaïque présentant des caractéristiques non linéaires ont été soumis à une analyse de leurs performances à l'aide de la méthode du réseau neuronal de régression générale (GRNN). Le contrôleur intelligent est composé d'un GRNN pour le suivi du point de puissance maximale (MPPT) et d'un RBFNSM pour une réponse rapide et stable du contrôle de la puissance. Le système photovoltaïque utilise le GRNN et l'angle d'inclinaison de l'éolienne est régulé par le RBFNSM. Le signal de sortie est utilisé pour piloter les convertisseurs boost afin d'atteindre le MPPT. Les résultats de la simulation confirment que le système de production hybride proposé peut produire un rendement élevé lorsque le MPPT est utilisé.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Französisch.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Este livro apresenta a estratégia de controlo e a análise do modelo em estado estacionário de um sistema de energia híbrido eólico-fotovoltaico (PV) ligado à rede que é proposto. O sistema é composto por energia fotovoltaica, energia eólica e um controlador de energia inteligente. Os sistemas de geração fotovoltaica com características não lineares foram sujeitos a uma análise do seu desempenho utilizando o método da Rede Neuronal de Regressão Geral (GRNN). O controlador inteligente é composto por uma GRNN para o controlo do ponto de máxima potência (MPPT) e uma RBFNSM para uma resposta rápida e estável do controlo de potência. O sistema fotovoltaico utiliza o GRNN e o ângulo de inclinação da turbina eólica é regulado pelo RBFNSM. O sinal de saída é utilizado para acionar os conversores de reforço, a fim de alcançar o MPPT. Os resultados da simulação verificam que o sistema de geração híbrido sugerido pode produzir uma elevada eficiência quando é utilizado o MPPT.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In diesem Buch werden die Regelungsstrategie und die Analyse des stationären Modells eines netzgekoppelten Wind-Photovoltaik (PV)-Hybridstromsystems vorgestellt. Das System besteht aus PV-Leistung, Windleistung und einem intelligenten Leistungsregler. PV-Erzeugungssysteme mit nichtlinearen Eigenschaften wurden einer Analyse ihrer Leistung unter Verwendung der Methode des Allgemeinen Neuronalen Regressionsnetzwerks (GRNN) unterzogen. Zur Bestimmung der Turbinendrehzahl zur Maximierung der Windenergiegewinnung wurde ein RBFNSM-Verfahren (Radial Basis Function Network-Sliding Mode) entwickelt, das sich gut für das Online-Training eignet. Der intelligente Regler besteht aus einem GRNN für die MPPT-Regelung (Maximum Power Point Tracking) und einem RBFNSM für eine schnelle und stabile Leistungsregelung. Das PV-System verwendet GRNN, und der Neigungswinkel der Windturbine wird durch RBFNSM geregelt. Das Ausgangssignal wird zur Ansteuerung der Aufwärtswandler verwendet, um das MPPT zu erreichen. Die Ergebnisse der Simulation bestätigen, dass das vorgeschlagene hybride Stromerzeugungssystem einen hohen Wirkungsgrad erzielen kann, wenn MPPT verwendet wird.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Deutsch. …

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Questo libro presenta la strategia di controllo e l'analisi del modello allo stato stazionario di un sistema di potenza ibrido eolico-fotovoltaico (PV) collegato alla rete. Il sistema è costituito da energia fotovoltaica, energia eolica e da un controllore di potenza intelligente. I sistemi di generazione fotovoltaica con caratteristiche non lineari sono stati sottoposti a un'analisi delle loro prestazioni utilizzando il metodo General Regression Neural Network (GRNN). Il controllore intelligente è composto da una GRNN per il controllo dell'inseguimento del punto di massima potenza (MPPT) e da una RBFNSM per una risposta rapida e costante del controllo di potenza. Il sistema fotovoltaico utilizza GRNN e l'angolo di inclinazione della turbina eolica è regolato da RBFNSM. Il segnale di uscita viene utilizzato per pilotare i convertitori boost al fine di ottenere l'MPPT. I risultati della simulazione verificano che il sistema di generazione ibrido proposto può produrre un'elevata efficienza quando si utilizza l'MPPT.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Italienisch.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Este livro apresenta a estratégia de controlo e a análise do modelo em estado estacionário de um sistema de energia híbrido eólico-fotovoltaico (PV) ligado à rede que é proposto. O sistema é composto por energia fotovoltaica, energia eólica e um controlador de energia inteligente. Os sistemas de geração fotovoltaica com características não lineares foram sujeitos a uma análise do seu desempenho utilizando o método da Rede Neuronal de Regressão Geral (GRNN). O controlador inteligente é composto por uma GRNN para o controlo do ponto de máxima potência (MPPT) e uma RBFNSM para uma resposta rápida e estável do controlo de potência. O sistema fotovoltaico utiliza o GRNN e o ângulo de inclinação da turbina eólica é regulado pelo RBFNSM. O sinal de saída é utilizado para acionar os conversores de reforço, a fim de alcançar o MPPT. Os resultados da simulação verificam que o sistema de geração híbrido sugerido pode produzir uma elevada eficiência quando é utilizado o MPPT.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Portugiesisch.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In diesem Buch werden die Regelungsstrategie und die Analyse des stationären Modells eines netzgekoppelten Wind-Photovoltaik (PV)-Hybridstromsystems vorgestellt. Das System besteht aus PV-Leistung, Windleistung und einem intelligenten Leistungsregler. PV-Erzeugungssysteme mit nichtlinearen Eigenschaften wurden einer Analyse ihrer Leistung unter Verwendung der Methode des Allgemeinen Neuronalen Regressionsnetzwerks (GRNN) unterzogen. Zur Bestimmung der Turbinendrehzahl zur Maximierung der Windenergiegewinnung wurde ein RBFNSM-Verfahren (Radial Basis Function Network-Sliding Mode) entwickelt, das sich gut für das Online-Training eignet. Der intelligente Regler besteht aus einem GRNN für die MPPT-Regelung (Maximum Power Point Tracking) und einem RBFNSM für eine schnelle und stabile Leistungsregelung. Das PV-System verwendet GRNN, und der Neigungswinkel der Windturbine wird durch RBFNSM geregelt. Das Ausgangssignal wird zur Ansteuerung der Aufwärtswandler verwendet, um das MPPT zu erreichen. Die Ergebnisse der Simulation bestätigen, dass das vorgeschlagene hybride Stromerzeugungssystem einen hohen Wirkungsgrad erzielen kann, wenn MPPT verwendet wird. …