Intelligent Controller based Maximum Power Point Tracking for Solar PV System

Autor:	B. L. Mathur, R. Ramaprabha
Rok vydání:	2011
Předmět:	Power optimizer Solar micro-inverter Maximum power principle Computer science Control theory Photovoltaic system Grid-connected photovoltaic power system Internal resistance Maximum power point tracking Power (physics) Voltage
Zdroj:	International Journal of Computer Applications. 12:37-42
ISSN:	0975-8887
DOI:	10.5120/1717-2303
Popis:	photovoltaic system performance depends on environmental conditions. Solar photovoltaic panel is a power source having nonlinear internal resistance. As the intensity of light falling on the panel varies, its voltage as well as its internal resistance both varies. To extract maximum power from the panel, the load resistance should be equal to the internal resistance of the panel. This paper analyses the improved modelling of solar PV module and proposes a genetic algorithm (GA) based maximum power point tracking. The GA optimized values are used to train the artificial neural network (ANN). The MPPT is simulated and studied using MATLAB software.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::09aa324e9b5f332c450f74824a047be7 https://doi.org/10.5120/1717-2303 Zobrazit plný text záznamu