To achieve the zero-carbon goal, renewable energy sources are penetrating their ways into the power system grid. Such penetrations are getting higher and in the future renewable energy sources will be the backbone of power generation in most countries. Thus, it is expected that renewable energy sources will not only be providing clean power but also be contributing to ancillary service to maintain the power balance and the stability of the grid. One of the main challenges with the integration and operation of power systems with increasing levels of renewable energy generation is the variable and uncertain nature of atmospheric conditions i.e. wind speeds and solar irradiance. Such variable nature of power generation from renewable energy sources makes it difficult to be a reliable candidate for ancillary services. To enable renewable energy sources to provide ancillary services, optimized control algorithms are required to monitor and regulate the power generation, power flow and economic operation of the plant. This project aims to design a real-time control algorithm to regulate power flow from large-scale renewable energy power plants and create the opportunity to provide ancillary services depending on the Grid demand. The developed algorithm needs to be verified using Hardware in loop grid prototypes.
Academic qualifications
A first-class honours degree, or a distinction at master level, or equivalent achievements ideally in Masters degree, in a discipline relevant to the area of study, (ideally in Power System Engineering/Power Electronics) with a good fundamental knowledge of Power Electronics System Modelling and Design.
English language requirement
IELTS score must be at least 6.5 (with not less than 6.0 in each of the four components). Other, equivalent qualifications will be accepted. Full details of the University’s policy are available online.
Application process
Prospective applicants are encouraged to contact the supervisor Dr Jubaer Ahmed at [Email Address Removed] to discuss the content of the project and the fit with their qualifications and skills before preparing an application.
The application must include:
Research project outline of 2 pages (list of references excluded) with the details about:
- Background and motivation of the project. The motivation must be supported by relevant literature. You can discuss also the applications you expect for the project results.
- Research questions or objectives.
- Methodology: types of data to be used, approach to data collection, and data analysis methods
- List of references
Statement no longer than 1 page describing your motivations and fit with the project.
Recent and complete curriculum vitae.
Two academic references (but if you have been out of education for more than three years, you may submit one academic and one professional reference), the form can be downloaded here.
Documents proving your qualifications and your skills.
Applications can be submitted here. To be considered, the application must use :
- “SCEBE0523” as project code.
- the advertised title as project title
All applications must be received by 21st May 2023 and include the required documents. Applicants who have not been contacted by 1 month later should assume that they have been unsuccessful.
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