A new algorithm for optimal parameter estimation of a synchronous machine from frequency tests based on LAV approximations

Many techniques exist for estimation of synchronous machine parameters from tests. In these techniques, a good initial guess is essential for convergence of the parameters. This paper presents a new algorithm to estimate synchronous machine parameters from tests. The proposed algorithm is based on least absolute value (LAV) error approximations. It does not require an initial guess, and it is a non-iterative technique. The solution is obtained in two steps. In the first step, the problem is formulated as a linear least squares (LS) estimation problem, as formulated in Reference 2. The solution to this problem yields approximate parameter values. The residual of each measurement is then calculated. In the second step, a number of residuals equal to the rank of the matrix H are put to zero. The residuals selected are those with the smallest values. A numerical example from the literature is reported, in which results obtained using the proposed algorithm are compared with those obtained using the standard least squares algorithm.