TECHNICAL PAPERS
Jan 1, 2002

Fuzzy Model for Real-Time Reservoir Operation

Publication: Journal of Water Resources Planning and Management
Volume 128, Issue 1

Abstract

A fuzzy rule-based control model for multipurpose real-time reservoir operation is constructed. A new, mathematically justified methodology for fuzzy inference—total fuzzy similarity—is used and compared with the more traditional Sugeno-style method. Specifically, the seasonal variation in both hydrological variables and operational targets is examined by considering the inputs as season-dependent relative values, instead of using absolute values. The inference drawn in several stages allows a simple, accessible model structure. The control model is illustrated using Lake Päijänne, a regulated lake in Finland. The model is calibrated to simulate the actual operation, but also to better fulfill the new multipurpose operational objectives determined by experts. Relatively similar results obtained with the inference methods and the strong mathematical background of total fuzzy similarity put fuzzy reasoning on a solid foundation.

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References

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Information & Authors

Information

Published In

Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 128Issue 1January 2002
Pages: 66 - 73

History

Received: Nov 10, 2000
Accepted: Mar 26, 2001
Published online: Jan 1, 2002
Published in print: Jan 2002

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Authors

Affiliations

Tanja Dubrovin
Laboratory of Water Resources Management, Helsinki Univ. of Technology, Finland. Current affiliation: Finnish Environment Institute, P.O. Box 140, 00251 Helsinki, Finland.
Ari Jolma
Laboratory of Water Resources Management, Helsinki Univ. of Technology, P.O. Box 5200, 02015 HUT, Finland.
Esko Turunen
Tampere Univ. of Technology, P.O. Box 692, 33101 Tampere, Finland.

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