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

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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).

Contact details:
Name: Dr Francisco Gonzalez-Longatt
Email address: [Email Address Removed]
Telephone number: +44(0)150 9227061

How to apply:
All applications should be made online at http://www.lboro.ac.uk/study/apply/research/. Under programme name, select Electronic & Electrical Engineering

Please quote reference number: WS26