Online fault detection and tolerance for photovoltaic energy harvesting systems

Xue Lin, Yanzhi Wang, Di Zhu, Naehyuck Chang, Massoud Pedram

Research output: Contribution to journalConference article

22 Scopus citations

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%.

Original languageEnglish (US)
Article number6386581
Pages (from-to)1-6
Number of pages6
JournalIEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD
DOIs
StatePublished - Jan 1 2012
Event2012 30th IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2012 - San Jose, CA, United States
Duration: Nov 5 2012Nov 8 2012

Keywords

  • Fault Detection
  • Fault Tolerance
  • Photovoltaic Panel Reconfiguration
  • Photovoltaic System

ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

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