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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/5073

Title: Large-scale security constrained optimal reactive power flow for operational loss management on the GB electricity transmission network
Authors: Macfie, Peter
Advisors: Taylor, GA
Keywords: SCORPF
Voltage control
Linear program
Mixed integer
Multiple objective optimisation
Publication Date: 2010
Publisher: Brunel University School of Engineering and Design PhD Theses
Abstract: The transmission of power across the GB transmission system, as operated by National Grid, results in inevitable loss of electrical power. Operationally these power losses cannot be eliminated, but they can be reduced by adjustment of the system voltage profile. At present the minimisation of active power losses relies upon a lengthy manually based iterative adjustment process. Therefore the system operator requires the development of advanced optimisation tools to cope with the challenges faced over the next decade, such as achieving the stringent greenhouse gas emission targets laid down by the UK government, while continue to provide an economical, secure and efficient service. To meet these challenges the research presented in this thesis has developed optimisation techniques that can assist control centre engineers by automatically setting up voltage studies that are low loss and low cost. The proposed voltage optimisation techniques have been shown to produce solutions that are secured against 800 credible contingency cases. A prototype voltage optimisation tool has been deployed, which required the development of a series of novel approaches to extend the functionality of an existing optimisation program. This research has lead to the development of novel methods for handling multi-objectives, contradictory shunt switching configurations and selecting all credible contingencies. Studies indicate that a theoretical loss saving of 1.9% is achievable, equivalent to an annual emissions saving of approximately 64,000 tonnes of carbon dioxide. A novel security constrained mixed integer non-linear optimisation technique has also been developed. The proposed method has been shown to be superior to several conventional methods on a wide range of IEEE standard network models and also on a range of large-scale GB network models. The proposed method manages to further reduce active power losses and also satisfies all security constraints.
Description: This thesis was submitted for the degree of Engineering Doctorate and awarded by Brunel University, 22/12/2010.
Sponsorship: EPSRC and National Grid
URI: http://bura.brunel.ac.uk/handle/2438/5073
Appears in Collections:Electronic and Computer Engineering
Dept of Electronic and Computer Engineering Thesis

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