Projects
Projects: Projects for Investigator |
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| Reference Number | GR/S84354/01 | |
| Title | Mathematical Techniques for Modelling Problems in Power Systems Stability | |
| Status | Completed | |
| Energy Categories | Other Power and Storage Technologies(Electricity transmission and distribution) 100%; | |
| Research Types | Basic and strategic applied research 100% | |
| Science and Technology Fields | ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 100% | |
| UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
| Principal Investigator |
Dr T Littler No email address given Electronics, Electrical Engineering & Computer Science Queen's University Belfast |
|
| Award Type | Standard | |
| Funding Source | EPSRC | |
| Start Date | 31 March 2005 | |
| End Date | 30 December 2008 | |
| Duration | 45 months | |
| Total Grant Value | £121,514 | |
| Industrial Sectors | Energy | |
| Region | Northern Ireland | |
| Programme | Process Environment and Sustainability | |
| Investigators | Principal Investigator | Dr T Littler , Electronics, Electrical Engineering & Computer Science, Queen's University Belfast (100.000%) |
| Web Site | ||
| Objectives | ||
| Abstract | 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 fundamentalstudy 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 | |
| Publications | (none) |
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| Final Report | (none) |
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| Added to Database | 01/01/07 | |
