A Weighted Least Absolute Value Transmission Network Parameter Estimation Based on Predictor-Corrector Interior Point Method
Due to the drawbacks of bad data and numerical condition of the weighted least squares (WLS) transmission network parameter estimation,a weighted least absolute value(WLAV) method is proposed.The proposed method is based on the predictor-corrector primal dual interior point method(PCPDIPM),which ensures the iteration point closer to the center track and improve the convergence property,therefore the number of iterations and computing time is reduced.The bad data and correct state of dubious branch can be obtained by the identical algorithm of parameter estimation and can be completed in one calculation process.Finally,the IEEE standard test systems and a provincial power grid are employed to verify the usefulness of the proposed approach.Comparison results between the proposed method and the widely used WLS algorithm with bad data identification module illustrate that the proposed method have high convergence speed and numerical stability.
state estimationWLAVrobust estimationparameter estimationpredictor-corrector primal-dual interior point method
NETL
NSTL
万方数据
维普
