Title :
Online fault detection and tolerance for photovoltaic energy harvesting systems
Author :
Lin, Xue ; Wang, Yanzhi ; Zhu, Di ; Chang, Naehyuck ; Pedram, Massoud
Author_Institution :
Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
Photovoltaic energy harvesting systems (PV systems) are subject to PV cell faults, which decrease the efficiency of PV systems and even shorten the PV system lifespan. Manual PV cell fault detection and elimination are expensive and nearly impossible for remote PV systems, e.g., PV systems on satellites. Therefore, online fault detection techniques and fault tolerance solutions are needed that can detect and tolerate PV cell faults without manual intervention. In this work, we present an online fault detection and tolerance technique for remote PV systems, which is capable of dynamically locating faulty PV cells and tolerating PV cell faults. More precisely, we present a modified PV panel structure and an efficient algorithm for our online fault detection and tolerance. Our fault detection and tolerance technique reduces output power degradation due to PV cell faults in a PV system by up to 81.31%.
Keywords :
energy harvesting; fault diagnosis; fault tolerance; photovoltaic power systems; power generation faults; power generation reliability; manual PV cell fault detection system; modified PV panel structure; online fault detection technique; online fault tolerance solution; photovoltaic energy harvesting system; Circuit faults; Computer architecture; Fault detection; Fault tolerance; Fault tolerant systems; Microprocessors; Power generation; Fault Detection; Fault Tolerance; Photovoltaic Panel Reconfiguration; Photovoltaic System;
Conference_Titel :
Computer-Aided Design (ICCAD), 2012 IEEE/ACM International Conference on
Conference_Location :
San Jose, CA
