NDLI: An implementation of estimation techniques to a hydrological model for prediction of runoff to a hydroelectric power station

Content Provider	IEEE Xplore Digital Library
Author	Fjeld, M. Aam, S.
Copyright Year	1963
Abstract	Parameter and state estimation algorithms have been applied to a hydrological model of a catchment area in southern Norway to yield improved control of the household of water resources and better economy and efficiency in the running of the power station, as experience proves since the system was installed on-line in the summer of 1978. A nonlinear conceptual state-space model of a Nordic hydrological system is presented in this paper. The model is transformed analytically to a piecewise linear time-discrete form in order to obtain straightforward updating of the gain matrix in the estimator through solution of the Riccati equation. Estimator gains can then be expressed approximately as a function of the state. Discharge coefficients (time constants) are estimated by the maximum likelihood method. Results are presented which show estimated and observed runoffs, and estimates of the state variables.
Sponsorship	IEEE Control Systems Society
Starting Page	151
Ending Page	163
Page Count	13
File Size	1025161
File Format	PDF
ISSN	00189286
Volume Number	25
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1980-04-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Predictive models Power generation State estimation Power system modeling Riccati equations Water resources Piecewise linear techniques Nonlinear equations Piecewise linear approximation Maximum likelihood estimation
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Electrical and Electronic Engineering Computer Science Applications

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