“Implementation of a Load Prediction Program System for the Norwegian Power Pool”

Authors: Sverre Aam, Øyvin Skarstein and L. Gagnat,
Affiliation: SINTEF and Norwegian Power Pool (NPP)
Reference: 1982, Vol 3, No 3, pp. 151-163.

Keywords: Power system control, load prediction, parameter estimation, Kalman filters, prediction

Abstract: A model for short-term load prediction (24 hours) has been developed. It is implemented as a part of an interactive program system for load prediction within the different areas of the Norwegian Power Pool. The model consists of two parts, describing the slow, seasonal variations (normal conditions), and short-term deviations from normal conditions, respectively. Kalman filtering techniques are used for updating the states of the models, and the parameters are estimated with a maximum likelihood method. The model has been tested with load data from various areas in Norway, and the system has been in on-line use at the Norwegian Power Pool since October 1979. Better control of the power system has been obtained through improved prediction and production planning.

PDF PDF (3145 Kb)        DOI: 10.4173/mic.1982.3.2

[1] ÅSTRØM K.J. BOHLIN, T. (1966). Numerical identification of linear dynamic systems from normal operating records, Proceedings of the Second IFAC Symposium on Theory of SeIf-Adaptice Control Systems, September 14-17, 1965, pp. 96-111. Plenum Press, New York.
[2] EYKHOFF, P. (1974). System Identification, John Wiley and Sons. Chapters 11 and 12.
[3] HANDSHIN, E. LUTKE-DALDRUP, B. (1980). Load Modelling and Prediction in Electric Power Systems, IEE-Conference on Power System Monitoring and Control. 24-26 June 1980, p. 113.

  title={{Implementation of a Load Prediction Program System for the Norwegian Power Pool}},
  author={Aam, Sverre and Skarstein, Øyvin and Gagnat, L.},
  journal={Modeling, Identification and Control},
  publisher={Norwegian Society of Automatic Control}