Abstract
A reliable estimate of power system static states, viz. node voltage magnitude and angle is obtained by the weighted least square (WLS) state estimation technique. When the computational advantages of the fast decoupled load flow are incorporated in the WLS method a decoupled state estimation algorithm (DSA) is obtained. However, the quadratic convergence characteristic of the WLS algorithm is degraded due to the use of constant Jacobian submatrices in the decoupled algorithm. The paper describes a procedure for varying the step size adaptively during the iterations of the decoupled algorithm in order to improve its convergence characteristic. The computer results of DSA with and without step size adjustment are compared with those of a constant gain algorithm (CGA) which uses the full Jacobian evaluated only at the first iteration.
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