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

Mohd Nor, Nursyarizal and Jegatheesan, Ramiah and Perumal, Nallagownden (2008) Use of AR Block Processing for Estimating the State Variables of Power System. In: The 2ndInternational Power Engineering and Optimization Conference (PEOCO2008).

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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.

Item Type:Conference or Workshop Item (Paper)
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE:Research Institutes > Energy
Departments > Electrical & Electronic Engineering
ID Code:6103
Deposited By: Dr Nursyarizal Mohd Nor
Deposited On:07 Jul 2011 07:03
Last Modified:19 Jan 2017 08:26

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