An efficienet algorithm for static state estimation in electric power system

Abstract EN

This paper presents an efficient static state estimator that is suitable for real time monitoring of the power system.

The proposed algorithm includes a weighted least square (WLS) method based on rectangular coordinates system.

A predictor-corrector iterative technique is used in solving the state estimator model which is described by a set of nonlinear equations relating measured quantities and the state variables.

The proposed algorithm is enhanced by selecting the allocation the PMUs meters optimally by using Particle Swarm Optimization (PSO).

The proposed algorithm is applied to the IEEE-14 bus and IEEE-30 bus test systems.

The obtained results reveal the significant contribution of the proposed algorithm in optimal estimate of the static state in terms of number of iterations for convergence, execution time and This paper presents an efficient static state estimator that is suitable for real time monitoring of the power system.

The proposed algorithm includes a weighted least square (WLS) method based on rectangular coordinates system.

A predictor-corrector iterative technique is used in solving the state estimator model which is described by a set of nonlinear equations relating measured quantities and the state variables.

The proposed algorithm is enhanced by selecting the allocation the PMUs meters optimally by using Particle Swarm Optimization (PSO).

The proposed algorithm is applied to the IEEE-14 bus and IEEE-30 bus test systems.

The obtained results reveal the significant contribution of the proposed algorithm in optimal estimate of the static state in terms of number of iterations for convergence, execution time and accuracy.