Faults in any elements such as modules, lines, DC-DC converters and DC-AC inverters of photovoltaic (PV) systems can impact the reliability of the system and exacerbate the efficiency. Some other faults such as ground-fault might lead to significant issues such as the risk of fire. Therefore, it is crucial to investigate and detect the faults in the PV system and prescribe the appropriate actions.
The supervisory team is looking for passionate students who are keen to conduct an overarching review and classify the fault detection methods in PV systems, then simulate an example case study. Further assistance such as on-site test equipment and industry-partner involvement may be provided by the supervisors.
This project will develop your skills in analytical, simulation and experimental techniques. In this project, you will be involved in:
- an overarching literature review of current PV fault detection methods and finding the relevant research gaps
- developing a promising technique with supervisory the team for PV fault detection
- analysis and simulation of the proposed technique
- an-site implementation and verification of the proposed method.
The outcomes include:
- development of a PV fault detection technique with high reliability and simplicity of implementation
- a prototype of the simulated/designed technique for PV fault detection
- liaising with the relevant industry partners to investigate the commercialization possibility.
Skills and experience
- knowledge in Power Electronics and Circuits and Systems
- experience with software packages such as MATLAB, PLECS
- experience with circuit design and implementation.
Contact the supervisor for more information.