PhD Studentship - Coordination Between Fast Acting Power Injections and Adaptive-under-frequency Load Shedding Schemes in Low Inertia Systems

Loughborough University

Start date: 1st October 2018

Closing date: 9th March 2018


Primary supervisor: Dr. Francisco Gonzalez-Longatt

Secondary supervisor: TBA

Loughborough University is a top-ten rated university in England for research intensity (REF2014) and an outstanding 66% of the work of Loughborough’s academic staff who were eligible to be submitted to the REF was judged as ‘world-leading’ or ‘internationally excellent’, compared to a national average figure of 43%.

Find out more:

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).

Find out more:

Informal enquiries about the research project, contact Dr. Francisco Gonzalez-Longatt,

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.

Funding information:

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.

Contact details:

Name: Dr Francisco Gonzalez-Longatt

Email address:

Telephone number: +44(0)150 9227061

How to apply:

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

Please quote reference number: WS26

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Midlands of England