Robust power system state estimation by appropriate selection of tolerance for the least measurement rejected algorithm

Authors : Mohammad Shoaib SHAHRIAR, İbrahim Omar HABIBALLAH

Pages : 2898-2907

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Publication Date : 0000-00-00

Article Type : Research Paper

Abstract :Modern power systems are highly complicated and nonlinear in nature. Accurate estimation of the power system states insert ignore into journalissuearticles values(voltage-magnitude and phase-angle); is required for the secure operation of the power system. The presence of bad-data measurements in meters has made this estimation process challenging. An efficient estimator should detect and eliminate the effect of bad data during the estimation process. Least measurement rejected insert ignore into journalissuearticles values(LMR); is a robust estimator that has been found successful in dealing with various categories of bad data. The performance of LMR depends upon the proper selection of a tolerance for each measurement. This paper presents a novel approach for tolerance value selection to improve the capability of handling different single and multiple bad-data scenarios successfully. The performance of this updated LMR insert ignore into journalissuearticles values(ULMR); is compared with weighted least squares, weighted least absolute value, and two versions of LMR from the literature. IEEE 30-bus and 118-bus systems are used to demonstrate the robustness of the proposed estimator under different bad-measurement insert ignore into journalissuearticles values(single and multiple); scenarios.
Keywords : State estimation, weighted least square, postprocessing, weighted least absolute value, least measurement rejected, bad data, tolerance selection