Use of AR Block Processing for Estimating the State Variables of Power System

• Main Authors: Mohd Nor, Nursyarizal, Jegatheesan, Ramiah, Perumal, Nallagownden
• Format: Conference or Workshop Item
• Published: 2008
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utp.edu.my/6103/1/peoco-2040-final.pdf; http://eprints.utp.edu.my/6103/
• Institution: Universiti Teknologi Petronas

This paper describes an approach to identify and change the measurement weights used in Weight Least Square (WLS) estimation method employed in State Estimation (SE). In practice, the individual measurement is assigned with their own weight factor based on technical experience by the engineers. However, uncertainty in analog measurements could occur in a real time system. Those measurements that are assigned with high weighting factor need not be a good data. This problem is solved by introducing signal-processing technique for identifying and changing the measurement weights of the bad measurements if the related measurement is assigned with high weight factors. Samples of the local utility network for 103-bus parameter are collected and simulated using Burg and Modified Covariance algorithm to estimate the state variables. Simulation results to support the proposed method are also presented and compared with WLS method.