Least Measurement Rejected Algorithm for Robust Power System State Estimation

Ensuring accurate estimation of the system's states (voltage-magnitude and phase-angle) is a vital task for protection, monitoring, controlling and smooth running of modern power systems. Meters, located randomly in different parts of the system often provide the estimators with wrong measurement (single or multiple) which could cause deterioration in the estimation performance badly. Cosequently, dealing with such bad data is one of the major challenges in the field of power system State Estimation (SE). This paper presents a robust estimator, Least Measurement Rejected (LMR), that has the capability of dealing with different single and multiple bad data scenarios successfully. The proposed LMR estimator is formulated with appropriate selection of tolerances of the meter readings. The performance of the proposed estimator is compared with the Weighed Least Square (WLS) and Weighted Least Absolute Value (WLAV) estimators. IEEE 14-bus and 30 bus systems are used to prove the robustness of the proposed estimator.