Open AccessPower System Frequency Estimation using Least Mean Square Filter based Algorithm
Author(s) -
Bibhu Prasad 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.k1415.0981119
Subject(s) - control theory (sociology) , distortion (music) , power (physics) , frequency deviation , noise (video) , voltage , filter (signal processing) , square (algebra) , signal (programming language) , mathematics , computer science , algorithm , automatic frequency control , engineering , telecommunications , electrical engineering , physics , amplifier , geometry , control (management) , bandwidth (computing) , quantum mechanics , artificial intelligence , image (mathematics) , computer vision , programming language
In the field of electrical power sector frequency as aparameter plays an important role. The value of frequency is notconstant, varies according to the load conditions. The powersystem functionalities like operation, monitoring and controllingof electric device are having lots of contribution to it. So it isrequired to measure the accurate value of this slowly varyingfrequency. The total power generated by generating stations isequal to the power consumed and losses under steady stateconditions. Due to sudden mismatch in the appearance ofgeneration and load can deviate the frequency from its nominalvalue. Frequency is an important parameter which influencesfunctions of different relays. This study was performed tocalculate the frequency of voltage or current signal in thepresence of noise and distortion. In this paper Least MeanSquare (LMS) Filter is studied and its frequency estimations arediscussed.