Design of small photovoltaic power generation system based on maximum power point tracking
Objetos digitales
| Tag | 1 | 2 | Valor |
|---|---|---|---|
| LDR | 00000cab a2200000 4500 | ||
| 001 | MAP20200037255 | ||
| 003 | MAP | ||
| 005 | 20220911190416.0 | ||
| 008 | 201123e20201201esp|||p |0|||b|eng d | ||
| 040 | $aMAP$bspa$dMAP | ||
| 084 | $a922.134 | ||
| 245 | 1 | 0 | $aDesign of small photovoltaic power generation system based on maximum power point tracking$cYang Cui...[Et al.] |
| 520 | $aAccording to the nonlinear output characteristics of photovoltaic cells, combined with artificial intelligence algorithmthe the MPPTiMaximum Power Point Trackingjcontrol algorithm based on fuzzy variable step size is proposed, which enables the system to quickly track the maximum power point and improve the energy conversion efficiency of photovoltaic system.This paper designs a small-scale photovoltaic power generation system. The main circuit of the system consists of Perovskite Solar Panels, DC voltage regulator circuit, storage battery and one-way full bridge inverter circuit. The control circuit consists of sun-seeking, inverter and maximum power tracking on constant voltage. Proteus simulation software is used to simulate the sun-seeking part, the inverting part, the general control unit, the keys and the display interface. The results indicate that the functions of the small-scale photovoltaic power generation system can be achieved very well. | ||
| 650 | 4 | $0MAPA20110002916$aEnergía fotovoltaica | |
| 650 | 4 | $0MAPA20080553128$aAlgoritmos | |
| 650 | 4 | $0MAPA20080611200$aInteligencia artificial | |
| 650 | 4 | $0MAPA20120007840$aPaneles solares | |
| 700 | 1 | $0MAPA20200023005$aCui, Yang | |
| 773 | 0 | $wMAP20200034445$tRevista Iberoamericana de Inteligencia Artificial$dIBERAMIA, Sociedad Iberoamericana de Inteligencia Artificial , 2018-$x1988-3064$g31/12/2020 Volumen 23 Número 66 - diciembre 2020 , p. 26-35 | |
| 856 | $qapplication/pdf$w1108790$yRecurso electrónico / Electronic resource |