IDENTIFICATION OF OPTIMAL OPERATING POINT OF PV MODULES USING NEURAL-NETWORK FOR REAL-TIME MAXIMUM POWER TRACKING CONTROL

被引：179

作者：

HIYANA, T ^{[1
]}

KOUZUMA, S ^{[1
]}

IMAKUBO, T ^{[1
]}

机构：

[1] SANYO ELECT CO LTD,DEPT ENERGY ENGN,HIRAKATA,OSAKA,JAPAN

来源：

IEEE TRANSACTIONS ON ENERGY CONVERSION | 1995年 / 10卷 / 02期

关键词：

PV MODULE; NEURAL NETWORK; POLYCRYSTALLINE SILICON; MAXIMUM POWER TRACKING CONTROL; REAL TIME CONTROL;

D O I：

10.1109/60.391904

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper presents an application of a neural network for the identification of the optimal operating point of PV modules for the real time maximum power tracking control. The output power from the modules depends on the environmental factors such as insolation, cell temperature, and so on. Therefore, accurate identification of optimal operating point and real time continuous control are required to achieve the maximum output efficiency. The proposed neural network has a quite simple structure and provides a highly accurate identification of the optimal operating point and also a highly accurate estimation of the maximum power from the PV modules.

引用

页码：360 / 367

页数：8