Coordination between fast acting power injections and adaptive-under-frequency load shedding schemes in low inertia systems PhD

Mechanical, Electrical and Manufacturing Engineering
Entry requirements:
3 years
not available
Reference number:
Start date:
01 October 2018
Is funding available?
UK/EU fees:
International fees:
Application deadline:
09 March 2018



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In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field. You will benefit from comprehensive support and guidance from our Doctoral College, including tailored careers advice, to help you succeed in your research and future career. 

Project detail

Ending the reliance on fossil fuel-based power generation in the Great Britain (GB) power system requires an accelerated transition to low carbon power production. The growing volume of Wind, Photovoltaic (PV) systems and the importing HVDC interconnectors increases are decreasing the total system inertia in GB electrical power system; the GB system inertia may be reduced by up to 47% from the current values by 2030.

Several initiatives are looking into improving the system frequency response of the GB by using new technologies and services, e.g. the enhanced frequency response (EFR) and the electric vehicle to the grid (eV2G). However, in the case of an infrequent severe disturbance (e.g. sudden loss of generation), a significant drop in frequency of the power system will activate the Under-Frequency Load Shedding (UFLS).

Fast acting power injections (FAPIs), coming from power converter based technologies like Electrical Energy Storage System (EESS), can be optimally-coordinated with adaptive-ULFS to minimise the load shedding during an infrequent severe disturbance.

This research project aims to create novel wide-area protection and control scheme (WAP&Cs) for the coordination of FAPIs and adaptive-UFLS to minimise the load shedding in low inertia systems. The proposed solutions will be tested using state-of-the-art real-time simulation facilities (OPAL-RT) and power system simulation software (DIgSilent PowerFactory).

This research project is an opportunity to join to the growing Power System research group in at Centre for Renewable Energy Systems Technology (CREST). 


Primary supervisor: Dr Francisco Gonzalez-Longatt

Secondary supervisor: TBA

Find out more

Entry requirements

Applicants should have at least a 2:1 Honours degree (or equivalent) in Electrical Engineering and a Master degree in Electrical Engineering. It’s essential to have knowledge of frequency control in electrical power systems. Desirable: to have Programming in Python and MATLAB. Use of DIgSILENT. Understanding of IEEE Standard for Synchrophasor Data Transfer for Power Systems - IEEE Std C37.118.2.

Applicants must meet the minimum English Language requirements, details available on the website.

Fees and funding


Tuition fees cover the cost of your teaching, assessment and operating University facilities such as the library, IT equipment and other support services. University fees and charges can be paid in advance and there are several methods of payment, including online payments and payment by instalment. Special arrangements are made for payments by part-time students.

Please note that these studentships will be awarded on a competitive basis to applicants who have applied to this project and/or the following 30 projects that have been prioritised for funding; job advert ref: WS01 – WS30

If awarded, each 3 year studentship will provide a tax-free stipend of £14,786 p.a ( provisional), plus tuition fees at the UK/EU rate (currently £4,262 p.a). While we welcome applications from non EU nationals, please be advised that due to funding restrictions it will only be possible to fund the tuition fees at the international rate and no stipend will be available. Successful candidates will be notified by 30th April 2018.

How to apply

All applications should be made online.  Under programme name, select Electronic & Electrical Engineering

Please quote reference number: WS26

Application details

Reference number:  WS26
Start date: 01 October 2018
Application deadline: 09 March 2018