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PhD Studentship: Renewable Integration in Power Systems: Challenges in Estimation and Control

University of Southampton

Qualification Type: PhD
Location: Southampton
Funding for: UK Students, EU Students
Funding amount: £15,009
Hours: Full Time
Placed On: 20th May 2019
Closes: 23rd August 2019

Supervisor: Dr. Abhinav Kumar Singh

Co-supervisor: Dr. James Pilgrim                  

Project description

A fully-funded 3-year PhD studentship on Renewable Integration in Power Systems at the University of Southampton, a top university for Electrical Power Engineering in the UK and worldwide.

A transition from coal and gas based non-renewable generation to wind and solar based renewable generation is necessary to ensure a sustainable low-carbon future. But this transition introduces several challenges to power system operation. One of the challenges is to find the impact of stochastic and intermittent dynamics of renewable sources of energy on power grid, and how these dynamics can be better controlled to ensure global system stability. This is not a trivial problem given that the available integrated models of wind farms or solar parks do not correctly represent the dynamics of the constituent turbines or photovoltaic panels. Another challenge is a fall in system inertia for grids with large-scale integration of renewable sources, since renewable energy sources do not contribute to system inertia (which is the rotating mass in the system). A direct impact of low system inertia is to make the grids unstable as system inertia is needed to resist disturbances (such as a fault or a sudden load change) occurring in the system and to maintain the frequency of the system.

This project will find solutions to such challenges related to maintaining the stability of power grids in light of renewable integration. Towards this broad goal, the student will explore various ideas, such as developing an accurate model for a wind farm or solar park that preserves the underlying oscillatory dynamics, while reducing complexity, thereby eliminating the use of inaccurate substitute models. Such a model will then be used to design dynamic and optimal control schemes for wind farms or solar parks in order to assist in global power system stability. An idea to address the impact of renewables on system inertia is to accurately estimate the rate of change of frequency (RoCoF) in the system – as low inertia translates to high RoCoF – and use it to provide ‘synthetic inertia’ to the system using energy from high capacity storage devices or through intelligent control of wind farms and solar parks.

The project is open to customisation based on the particular interests of the student but needs to be in the broad field of stability aspects of renewable integration.

For any queries contact: Dr. Abhinav Kumar Singh (

Key facts

Entry requirements: first or upper second-class degree or equivalent in Electrical/Electronic Engineering, with knowledge of power systems. Good programming skills in MATLAB/Simulink or a similar simulation software required. Additional subject knowledge desired in control design, signal processing, dynamic modelling, and renewable energy systems.         

Duration: three years (full-time)

Funding eligibility: full tuition fees for a UK student or an EU student who has been working or studying in the UK for at least 3 years prior to the start of their PhD, and a tax-free stipend of £15,009 per year. Self-funded international students are also welcome to apply.

Assessment: Nine month and 18-month reports, viva voce and thesis examination

Start date: 23 September 2019


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