UWE Bristol Engineering showcase 2015
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Rhodri Taylor<br />
BEng (Hons) Electrical and Electronic <strong>Engineering</strong><br />
Project Supervisor<br />
Dr. Hassan Nouri<br />
Fault Detection & Modelling of Solar PV Modules<br />
Introduction<br />
The consumption of non-renewable energy<br />
sources, such as oil & gas have been rapidly<br />
increasing for a number of years and with these<br />
being a finite resource there has been a drive for<br />
alternative energies in recent years. .<br />
Solar PV cells convert sunlight into direct current<br />
(DC) electricity using semiconductor materials,<br />
mainly silicon. The conversion of solar energy by<br />
this method is seen as a favourable option as it is<br />
a direct conversion; this means that there are no<br />
mechanical moving parts or environmental<br />
emissions during the conversion from sunlight to<br />
electricity. However, PV cells have a number of<br />
certain drawbacks such as low power-rating, high<br />
cost, low reliability, etc. The low reliability is due<br />
to the possibility of a fault being hidden in the<br />
solar PV array, reducing its lifetime and<br />
efficiency.<br />
It is these common PV faults that this<br />
investigation will focus on, testing fault modelling<br />
& detection techniques using PSCAD and<br />
creating a HMI management system for remote<br />
monitoring.<br />
PSCAD Modelling<br />
Two PSCAD PV array models were designed as<br />
part of this investigation, one was used to<br />
replicate previous experimental results and the<br />
second was based on a grid-tied PV array. Fault<br />
models were also developed to simulate a typical<br />
DC arc fault.<br />
Fault Detection<br />
Various fault detection methods were used<br />
during this investigation to detect all of the<br />
simulated faults. An FFT was used to analyze the<br />
harmonics of the PV system current. Analysis of<br />
these results also showed that certain faults can<br />
be identified by fluctuations of individual<br />
harmonic components.<br />
During a parallel arc fault the 3 rd and 5 th<br />
harmonics peaked unlike during other faults<br />
allowing not only the detection of the fault but<br />
the type of fault can be identified also.<br />
HMI Monitoring System<br />
The HMI monitoring system designed in this<br />
investigation is based on the Siemens WinCC<br />
platform and uses an S7-1200 CPU to handle the<br />
fault detection and management of the<br />
networking interface. This system allows the<br />
remote monitoring of a PV array and provides<br />
live diagnostic information to the user.<br />
Project summary<br />
The main aim of this investigation is to model and<br />
simulate various faults & fault detection techniques<br />
that commonly occur in solar PV modules and arrays<br />
and to develop a system to remotely monitor and<br />
manage a PV installation.<br />
Project Objectives<br />
To create a simulation module of a typical PV array to<br />
test fault detection.<br />
To develop a DC arc fault model in PSCAD and verify<br />
results.<br />
Replicate experimental results using the designed<br />
PSCAD models.<br />
Test common PV faults on grid-tied system using<br />
PSCAD simulation models.<br />
Design HMI management system for remote<br />
monitoring of PV array on Siemens platform.<br />
Collate results & findings of different faults and<br />
detection techniques.<br />
Project Conclusion<br />
This investigation involves the design of accurate<br />
PSCAD models of a grid-tied PV array and replication<br />
of experimental fault models.<br />
These designed fault models are verified against the<br />
experimental work that they are based on.<br />
Various fault detection techniques are used to detect<br />
the simulated faults in PSCAD including the use of a<br />
FFT.<br />
A HMI management system is also designed to allow<br />
the remote monitoring and detection of a typical PV<br />
array.