ANALYSIS INFLUENCES OF MEASUREMENT DATA ON POWER SYSTEM STATE ESTIMATION ACCURACY USING WEIGHTED LEAST SQUARES METHOD

Vũ Văn Chiến; Nguyễn Ngọc Tuấn; Ngô Việt Cường; Nguyễn Văn Tiến

doi:10.34238/tnu-jst.12439

ANALYSIS INFLUENCES OF MEASUREMENT DATA ON POWER SYSTEM STATE ESTIMATION ACCURACY USING WEIGHTED LEAST SQUARES METHOD

About this article

Received: 31/03/25 Revised: 14/06/25 Published: 15/06/25

Authors

1. Vu Van Chien , Institute of Missile and Control Engineering - Military Technical Academy
2. Nguyen Ngoc Tuan, Institute of Missile and Control Engineering - Military Technical Academy
3. Ngo Viet Cuong, Institute of Missile and Control Engineering - Military Technical Academy
4. Nguyen Van Tien, Institute of Missile and Control Engineering - Military Technical Academy

Abstract

The Weighted Least Squares method is widely used in power system state estimation problems. This paper analyzes the impact of measurement data on the convergence behavior and accuracy of the method. MATLAB software with the MATPOWER module is employed to validate the analysis on 30-bus and 69-bus power grids. The results demonstrate that the number, type, and placement of measurements significantly influence algorithm convergence, while the accuracy of these devices and their associated weight values strongly affect estimation quality. The study also reveals that assigning weights based on measurement error yields good results but does not fully exploit the optimal solution space. The paper proposes a future research direction involving adaptive weighting in the Weighted Least Squares framework to enhance estimation accuracy, support the development of efficient measurement systems, and expand its applicability in monitoring and operating modern power grids.

Keywords

Energy management; State estimation; Power system analysis; Weighted Least Squares; Matpower

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DOI: https://doi.org/10.34238/tnu-jst.12439

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