TY - GEN
T1 - Adaptive estimation of frequency in power networks
AU - Djurić, Petar M.
AU - Begović, Miroslav M.
N1 - Publisher Copyright:
© 1992 IEEE.
PY - 1992
Y1 - 1992
N2 - A common problem in power networks is the estimation of the fundamental frequency of harmonic signals. A group of methods that have attracted significant attention in the literature are based on autoregressive modeling [1]. When they are used, the frequency is found via the estimated autoregressive parameters of the model. In the paper we propose and examine two related methods that use the autoregression as an underlying model, avoid the estimation of its parameters, and determine the fundamental frequency directly. Simulation results are provided that demonstrate the performance of the methods.
AB - A common problem in power networks is the estimation of the fundamental frequency of harmonic signals. A group of methods that have attracted significant attention in the literature are based on autoregressive modeling [1]. When they are used, the frequency is found via the estimated autoregressive parameters of the model. In the paper we propose and examine two related methods that use the autoregression as an underlying model, avoid the estimation of its parameters, and determine the fundamental frequency directly. Simulation results are provided that demonstrate the performance of the methods.
UR - https://www.scopus.com/pages/publications/7244261677
U2 - 10.1109/ISCAS.1992.230631
DO - 10.1109/ISCAS.1992.230631
M3 - Conference contribution
AN - SCOPUS:7244261677
T3 - Proceedings - IEEE International Symposium on Circuits and Systems
SP - 2741
EP - 2744
BT - 1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992
Y2 - 10 May 1992 through 13 May 1992
ER -