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Details of Grant 

EPSRC Reference: GR/S84354/01
Title: Mathematical Techniques for Modelling Problems in Power Systems Stability
Principal Investigator: Littler, Dr T
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Department: Sch of Electronics, Elec Eng & Comp Sci
Organisation: Queen's University of Belfast
Scheme: First Grant Scheme Pre-FEC
Starts: 31 March 2005 Ends: 30 December 2008 Value (£): 121,514
EPSRC Research Topic Classifications:
Power Sys Man, Prot & Control
EPSRC Industrial Sector Classifications:
Energy
Related Grants:
Panel History:  
Summary on Grant Application Form
Electric power systems consist of many elements connected together to form large, complex systems capable of generating, transmitting, and distributing electrical energy to meet consumer demand. A variety of dynamic interactions prevail when different elements are interconnected. A prime concern is the response to changing demand, and to disturbances, both of which are the main causes of power system dynamics, which affect stability. Models, used for stability simulation studies, provide critical information to prevent instability, provided that accurate model parameters are available to make an assessment. Increased contribution from distributed generation, such as wind energy, introduces new problems, which affect stability and model-based studies. The main issue is how to acquire and maintain accurate knowledge of distributed generation model parameters since contributions are difficult to predict and intermittent. A further issue is growth in model complexity due to the representation of greater numbers of generating units.The proposed work starts with tractable aspects of the problem to devise techniques to estimate parameters using historical data, and progresses to address more complex aspects, introducing recent developments in mathematical transforms to improve parameter estimation and reduce model complexity. The project will study power system dynamic modelling and simulation issues arising from increased integration of distributed generation. A fundamental study of modelling techniques and solution methods will be undertaken to investigate incorporation of wavelet transforms to address key issues in the problem domain. The work will explore the application of wavelet techniques for dense matrix preconditioning and parameter estimation. Computational issues will be examined to assess feasibility for real-time modelling. The work will deliver pragmatic techniques for dynamic stability modelling.
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Organisation Website: http://www.qub.ac.uk