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
Depositing User: Dr Nursyarizal Mohd Nor
Date Deposited: 07 Jul 2011 07:03
Last Modified: 19 Jan 2017 08:26

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