Power System Frequency Estimation Using Least Mean Square Technique

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.

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Power System Frequency Estimation using Least Mean Square Filter based Algorithm

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.k1415.0981119 ◽

2019 ◽

Vol 8 (11) ◽

pp. 490-494

Keyword(s):

Power System ◽

Frequency Estimation ◽

Electrical Power ◽

Total Power ◽

Mean Square ◽

Least Mean Square ◽

Power Sector ◽

Electric Device ◽

Lms Filter ◽

System Frequency

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.

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Robust Power System Frequency Estimation Based on a Sliding Window Approach

Mathematical Problems in Engineering ◽

10.1155/2019/3254258 ◽

2019 ◽

Vol 2019 ◽

pp. 1-10 ◽

Cited By ~ 1

Author(s):

Dun Pei ◽

Yili Xia

Keyword(s):

Power System ◽

Frequency Estimation ◽

Lms Algorithm ◽

Least Mean Square ◽

Sliding Windows ◽

Dc Offset ◽

Three Phase ◽

Window Approach ◽

System Frequency ◽

The Relationship

A novel framework for online estimation of the fundamental frequency of power system in both the single-phase and three-phase cases is proposed. This is achieved based on the consideration of the relationship among the samples within every four consecutive sliding windows and the use of the Wiener filtering approach and an adaptive filter trained by the least mean square (LMS) algorithm. Compared with the original work proposed in Vizireanu, 2011, which employs the scalar samples, the proposed vector-valued methods alleviate the drawbacks, such as sensitivity to initial phase value, noise, harmonics, DC offset, and system unbalance. Simulations on both benchmark synthetic cases and for real-world scenarios support the analysis.

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