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AI system for Vehicle to Grid power management

Artificial intelligence and machine learning approaches have been utilised for managing power systems, however, the introduction of the electric vehicle made power management more difficult due to the charging and utilisation of individual vehicles. Artificial intelligence is used to schedule and control the peak load using dynamic programming, planning and control of the local grid power system.


The aim of the project is to optimise the operation of power generation using a conventional power system and rely on renewable power system generation to cover the rest of the demand. By combining the renewable with the conventional systems, the whole system inertia can be used to drive the network and keep the grid in operation. Hence prediction of power demand, renewable power generation, safety margin and power requirement on special occasions, the whole system operation can be managed in order to reduce the conventional power generation demand and in turn reduce pollution.

The student should have knowledge in system simulation packages such as DigSilent, optimisation tools such as MATLAB, and data generation and utilisation to simulate the network.

How to apply

If you are interested in applying for the above PhD topic please follow the steps below:

  1. Contact the supervisor by email or phone to discuss your interest and find out if you woold be suitable. Supervisor details can be found on this topic page. The supervisor will guide you in developing the topic-specific research proposal, which will form part of your application.
  2. Click on the 'Apply here' button on this page and you will be taken to the relevant PhD course page, where you can apply using an online application.
  3. Complete the online application indicating your selected supervisor and include the research proposal for the topic you have selected.

Good luck!

This is a self funded topic

Brunel offers a number of funding options to research students that help cover the cost of their tuition fees, contribute to living expenses or both. See more information here: https://www.brunel.ac.uk/research/Research-degrees/Research-degree-funding. The UK Government is also offering Doctoral Student Loans for eligible students, and there is some funding available through the Research Councils. Many of our international students benefit from funding provided by their governments or employers. Brunel alumni enjoy tuition fee discounts of 15%.

Meet the Supervisor(s)

Maysam Abbod - Education - Dr Maysam F. Abbod (MIET, CEng, SMIEEE, SFHEA) He received BSc degree in Electrical Engineering fromUniversity of Technology in 1987. PhD in Control Engineering fromUniversity ofSheffield in 1992. From 1993 to 2006 he was with the Department of Automatic Control and Systems Engineering at theUniversity of Sheffield as a research associate and senior research fellow

Related Research Group(s)

Brunel Interdisciplinary Power Systems

Brunel Interdisciplinary Power Systems - Power systems analysis for transmission and distribution networks, smart grids; congestion monitoring in transmission networks; simulation and analysis of new energy markets; optimisation of the design and operation of electrical networks; condition monitoring of power station and power system plant; energy-efficient designs for underground electric power cables.