Kalman filter vs weighted least square state estimation

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

Answer 1

[Abhishek Kumar]

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:

State Estimation - MATLAB & Simulink (mathworks.com)