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FAULT DETECTION AND DIAGNOSIS OF PHOTOVOLTAIC SYSTEMS
by
Xing Wu
A Thesis Presented to the
FACULTY OF THE USC SCHOOL OF ARCHITECTURE
UNIVERSITY OF SOUTHERN CALIFORNIA
In Partial Fulfillment of the
Requirements for the Degree
MASTER OF BUILDING SCIENCE
August 2011
Copyright 2011 Xing Wu
Object Description
| Title | Fault detection and diagnosis of photovoltaic systems |
| Author | Wu, Xing |
| Author email | xingwu@usc.edu;yrxcandy@gmail.com |
| Degree | Master of Building Science |
| Document type | Thesis |
| Degree program | Building Science |
| School | School of Architecture |
| Date defended/completed | 2011-03-21 |
| Date submitted | 2011-07-28 |
| Date approved | 2011-07-28 |
| Restricted until | 2011-07-28 |
| Date published | 2011-07-28 |
| Advisor (committee chair) | Woll, Edwin |
| Advisor (committee member) |
Carlson, Anders Xu, Peng Cooley , Stuart |
| Abstract | The rapid growth of the solar industry over the past several years has expanded the significance of photovoltaic (PV) systems. One of the primary aims of research in building-integrated PV systems is to improve the performance of the system’s efficiency, availability, and reliability. Although much work has been done on technological design to increase a photovoltaic module’s efficiency, there is little research so far on fault diagnosis for PV systems. Faults in a PV system, if not detected, may not only reduce power generation, but also threaten the availability and reliability, effectively the “security” of the whole system. ❧ In this paper, first a circuit-based simulation baseline model of a PV system with maximum power point tracking (MPPT) is developed using MATLAB software . MATLAB is one of the most popular tools for integrating computation, visualization and programming in an easy-to-use modeling environment. Second, data collection of a PV system at variable surface temperatures and insolation levels under normal operation is acquired. The developed simulation model of PV system is then calibrated and improved by comparing modeled I-V and P-V characteristics with measured I–V and P–V characteristics to make sure the simulated curves are close to those measured values from the experiments. Finally, based on the circuit-based simulation model, a PV model of various types of faults will be developed by changing conditions or inputs in the MATLAB model, and the I–V and P–V characteristic curves, and the time-dependent voltage and current characteristics of the fault modalities will be characterized for each type of fault. These will be developed as benchmark I-V or P-V, or prototype transient curves. If a fault occurs in a PV system, polling and comparing actual measured I–V and P–V characteristic curves with both normal operational curves and these baseline fault curves will aid in fault diagnosis. |
| Keyword | PV system; fault detection; I-V; P-V; MATLAB; MPPT |
| Language | English |
| Part of collection | University of Southern California dissertations and theses |
| Publisher (of the original version) | University of Southern California |
| Place of publication (of the original version) | Los Angeles, California |
| Publisher (of the digital version) | University of Southern California. Libraries |
| Provenance | Electronically uploaded by the author |
| Type | texts |
| Legacy record ID | usctheses-m |
| Rights | Wu, Xing |
| Access conditions | The author retains rights to his/her dissertation, thesis or other graduate work according to U.S. copyright law. Electronic access is being provided by the USC Libraries in agreement with the author, as the original true and official version of the work, but does not grant the reader permission to use the work if the desired use is covered by copyright. It is the author, as rights holder, who must provide use permission if such use is covered by copyright. The original signature page accompanying the original submission of the work to the USC Libraries is retained by the USC Libraries and a copy of it may be obtained by authorized requesters contacting the repository e-mail address given. |
| Repository name | University of Southern California Digital Library |
| Repository address | USC Digital Library, University of Southern California, University Park Campus MC 7002, 106 University Village, Los Angeles, California 90089-7002, USA |
| Repository email | cisadmin@usc.edu |
| Archival file | uscthesesreloadpub_Volume71/etd-WuXing-198.pdf |
Description
| Title | Page 1 |
| Full text | FAULT DETECTION AND DIAGNOSIS OF PHOTOVOLTAIC SYSTEMS by Xing Wu A Thesis Presented to the FACULTY OF THE USC SCHOOL OF ARCHITECTURE UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements for the Degree MASTER OF BUILDING SCIENCE August 2011 Copyright 2011 Xing Wu |
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