This is a collaborative project between the department of mathematical sciences and the department of engineering. We are looking for a student with a strong background in statistics and an interest in developing new methodology in an important and challenging practical application area.
Power network components typically have very long design lives of 40 or more years, on top of 5-10 years for planning and construction. At the time investment decisions are made, there is therefore great uncertainty over many properties of the future system in which the asset will be operated, e.g. installed generation capacities and locations, market prices, and behaviour of interconnectors to other systems.
System simulations, which balance the cost of network reinforcements against the cost of finite network capacity restricting the generation schedule, are used to support these decisions. This project will use statistical emulators to understand how the input data drives the results of these simulations, and hence derive systematic approaches to making investment decisions under uncertainties in that data.
PhD project: Electricity Transmission Investment Planning Under Uncertainty Using Statistical Emulators
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Burse
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2012-09-06, 00:00
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2025-09-29, 17:00
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Maria Dumitru
