Open AccessPower System Frequency Estimation using Least Mean Square Filter based Algorithm
Author(s) -
Bibhu Ganthia,
Rosalin Pradhan,
Priya Pritam Panda,
Subrat Kumar Barik
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.k1415.098111
Subject(s) - control theory (sociology) , power (physics) , distortion (music) , frequency deviation , least mean squares filter , noise (video) , voltage , square (algebra) , filter (signal processing) , mathematics , computer science , algorithm , automatic frequency control , adaptive filter , engineering , telecommunications , physics , electrical engineering , amplifier , geometry , control (management) , bandwidth (computing) , quantum mechanics , artificial intelligence , image (mathematics)
In the field of electrical power sector frequency as a parameter plays an important role. The value of frequency is not constant, varies according to the load conditions. The power system functionalities like operation, monitoring and controlling of electric device are having lots of contribution to it. So it is required to measure the accurate value of this slowly varying frequency. The total power generated by generating stations is equal to the power consumed and losses under steady state conditions. Due to sudden mismatch in the appearance of generation and load can deviate the frequency from its nominal value. Frequency is an important parameter which influences functions of different relays. This study was performed to calculate the frequency of voltage or current signal in the presence of noise and distortion. In this paper Least Mean Square (LMS) Filter is studied and its frequency estimations are discussed.