Title :
Adaptive prediction and control of harmonic signals in electric power systems
Author :
Amirazodi, Javid ; Yaz, Edwin E. ; Olejniczak, Kraig J.
Author_Institution :
Dept. of Electr. Eng., Arkansas Univ., Fayetteville, AR, USA
Abstract :
The objective of this work is to reduce the negative effects of harmonic signals in electric power distribution systems. The unknown time-varying magnitudes and phase angles of harmonics are modeled as parameters in an ARMAX model. Adaptive predictors are used to estimate future values of the harmonic components in load currents. Having the prediction of the harmonic component of the load current available in advance, the compensation can be done at the correct time with minimum amount of mismatch between the load current and the compensated current. Due to different computation and implementation time requirements, experimentation with predictors having different “look-ahead” horizons is carried out. Results of simulations with one- and two-step-ahead predictions are presented
Keywords :
adaptive control; autoregressive moving average processes; compensation; distribution networks; load forecasting; power system control; power system harmonics; prediction theory; ARMAX model; adaptive prediction; compensation; electric power distribution systems; harmonic signal control; load currents; look-ahead horizons; one-step-ahead prediction; phase angles; time-varying magnitudes; two-step-ahead prediction; Adaptive control; Automatic voltage control; Control systems; Power harmonic filters; Power quality; Power system harmonics; Power system modeling; Power system reliability; Power system simulation; Programmable control;
Conference_Titel :
Circuits and Systems, 1996. ISCAS '96., Connecting the World., 1996 IEEE International Symposium on
Print_ISBN :
0-7803-3073-0
DOI :
10.1109/ISCAS.1996.540038
