MATLAB Answers

Kalman filter vs weighted least square state estimation

7 views (last 30 days)
MUHAMMAD RASHED
MUHAMMAD RASHED on 2 Nov 2020
Answered: Abhishek Kumar on 30 Nov 2020
Hi,
For Power systems estate estimation, which technique is better and more accurate; Weighted Least Square WLS OR Kalman Filter estimation.
Can we use one instead of another or both needs to be used in conjunction with eacy other ?
Thanks,
Muhammad Rashed

Answers (1)

Abhishek Kumar
Abhishek Kumar on 30 Nov 2020
Hi Rashed,
I understand you want to know the difference between the usage of Weighted Least Squared(WLS) and Kalman Filters in Power System state estimation.
WLS is a static approach which uses single set of measurement for state estimation, it has limited ability in terms of predicting future operating state.
Kalman filter is a set of mathematical equations that provides and efficient computational algorithm to estimate the state of a process, in a way that minimizes the squared error. The filter supports estimation of past present and future states.
You can refer to the following links for more on Kalman filtering:

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by