Title :
Fuzzy interpolation of hydro power sales data in Simulink
Author :
Jantzen, Jan ; Eliasson, Bo
Author_Institution :
Tech. Univ. Denmark, Lyngby, Denmark
Abstract :
The problem in this case study can be described as a multi-dimensional surface fit to a given set of data. The data are sales figures in MWH/H for a hydro-thermal power generation system. The data are incomplete and not totally reliable. A model with ten fuzzy rules fits the data with a total error of 19%; with twenty-six rules the error would be 0%. The model is used in the long term planning concerning operating costs. It is further intended as a short term decision support for operators when negotiating power interchange contracts
Keywords :
costing; decision support systems; digital simulation; fuzzy set theory; hydroelectric power stations; interpolation; knowledge based systems; power system planning; Simulink; fuzzy interpolation; fuzzy rule based model; hydro power sales data; hydro-thermal power generation system; multidimensional surface fit; operating costs; Costs; Floods; Interpolation; Marketing and sales; Power system modeling; Reservoirs; Snow; Springs; Water resources; Water storage;
Conference_Titel :
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1896-X
DOI :
10.1109/FUZZY.1994.343576
