Title :
A parametric approach to the prediction of the time-behavior of harmonic-quantities in electrical networks
Author :
Cavallini, A. ; Montanari, G.C.
Author_Institution :
Fac. di Ingegneria, Ferrara Univ., Italy
Abstract :
In this paper, the problem of harmonic modeling and prediction is dealt with the time-series approach. Techniques for order and parameter identification of seasonal auto-regressive integrated moving-average, SARIMA, models, are discussed. Forecasting tools, valid for power, harmonic distortion and harmonic-current amplitudes, are obtained, which provide accurate daily predictions. Moreover, the stochastic dependence between the investigated quantities are outlined
Keywords :
autoregressive moving average processes; harmonic distortion; parameter estimation; power system harmonics; time series; electrical networks; harmonic modeling; harmonic prediction; harmonic-current amplitudes; harmonic-quantities; order identification; parameter identification; stochastic dependence; time-behavior; time-series approach; Concurrent computing; Harmonic distortion; Intelligent networks; Parameter estimation; Predictive models; Relays; Solid state circuits; State estimation; Stochastic processes; Technological innovation;
Conference_Titel :
Industry Applications Conference, 1995. Thirtieth IAS Annual Meeting, IAS '95., Conference Record of the 1995 IEEE
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-3008-0
DOI :
10.1109/IAS.1995.530586
