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Please use this identifier to cite or link to this item: http://hdl.handle.net/10373/747

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Title: Using a fuzzy inference system to control a pumped storage hydro plant
Authors: King, David J.
Bradley, David A.
Mansoor, S. P.
Jones, D. I.
Aris, F. C.
Jones, G. R.
Affiliation: University of Abertay Dundee. School of Computing & Engineering Systems
Keywords: Control engineering computing
Digital simulation
Frequency control
Fuzzy control
Inference mechanisms
Power engineering computing
Power generation control
Power plants
Pumped-storage power stations
Three-term control
Issue Date: 2001
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Type: Conference Paper
Refereed: peer-reviewed
Rights: This is the author's final version of this conference paper. Published version (c)IEEE, available from http://dx.doi.org/10.1109/FUZZ.2001.1009132
Citation: King, D.J., et al. 2001. Using a fuzzy inference system to control a pumped storage hydro plant. In: Proceedings of the 10th IEEE International Conference on Fuzzy Systems, Melbourne, Australia, 2-5 December 2001, Vol.3. Piscataway, NJ: IEEE. pp.1008-1011. Available from http://dx.doi.org/10.1109/FUZZ.2001.1009132
Abstract: The paper discusses the development of a fuzzy inference system (FIS) based governor control for a pumped storage hydroelectric plant. The First Hydro Company's plant at Dinorwig in North Wales is the largest of its kind in Europe and is mainly used for frequency control of the UK electrical grid. In previous investigations, a detailed model of the plant was developed using MATLAB(R)/SIMULINK(R) and this is now being used to compare FIS governor operation with the proportional-integral-derivative (PID) controller currently used. The paper describes the development of an FIS governor, and shows that its response to a step increase in load is superior to the PID under certain conditions of load. The paper proceeds to discuss the implications of these results in view of the possible practical application of an FIS governor at the Dinorwig plant.
URI: http://hdl.handle.net/10373/747
ISBN: 078037293X
ISSN: 1098-7584
Appears in Collections:Computing & Engineering Systems Collection

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