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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.

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