Title :
Power system frequency estimation using least mean square technique
Author :
Pradhan, A.K. ; Routray, A. ; Basak, Abir
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol., Kharagpur, India
fDate :
7/1/2005 12:00:00 AM
Abstract :
Frequency is an important parameter in power system monitoring, control, and protection. A least mean square (LMS) algorithm in complex form is presented in this paper to estimate power system frequency where the formulated structure is very simple. The three-phase voltages are converted to a complex form for processing by the proposed algorithm. To enhance the convergence characteristic of the complex form of the LMS algorithm, a variable adaptation step-size is incorporated. The performance of the new algorithm is studied through simulations at different situations of the power system.
Keywords :
adaptive filters; filtering theory; frequency estimation; least mean squares methods; power system control; power system measurement; power system parameter estimation; power system protection; LMS algorithm; least mean square technique; power system control; power system frequency estimation; power system monitoring; power system protection; three-phase voltage; variable adaptation step-size; Condition monitoring; Control systems; Convergence; Frequency estimation; Least squares approximation; Power system control; Power system protection; Power system simulation; Power systems; Voltage; Complex least mean square (LMS); frequency estimation; least mean square algorithm; power system monitoring;
Journal_Title :
Power Delivery, IEEE Transactions on
DOI :
10.1109/TPWRD.2004.843453