Dhanraj Daphale, Shreya Moholkar, Vijay Sawant

A Novel Concept of Grid Power Control Using Artificial Intelligence

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: LAP Lambert Academic Publishing
• Seitenzahl: 52
• Erscheinungstermin: 19. Januar 2024
• Englisch
• Abmessung: 220mm x 150mm x 4mm
• Gewicht: 96g
• ISBN-13: 9786207460151
• ISBN-10: 6207460154
• Artikelnr.: 69968146

Autorenporträt

Authors are working as an Assistant Professor in reputed organization Authors are experts in the field of Electrical Engineering having good experience in the academic.