Power System State Estimation: Part 3

If G1 is having a rank of ‘n’ then the system is fully observable.

Algorithm

1. Start iterations, set the iteration index i=0.

2. Initialize the state vector x₀, typically as a flat start.

3. Calculate the matrix G(x₀) as per (4)

4. Calculate the matrix H as per (5)

5. Determine x₁ as per (6).

6. Test for convergence, max [G(x₁)]< e

7. If no, update x , and go to step 3. If yes stop.

For power system state estimation the matrix H is the jacobian matrix of the Power flow the difference is that the jacobian is not square it is mX n