NDLI: Distributed multi-area WLS state estimation integrating measurements weight update

Content Provider	IET Digital Library
Author	Kang, Jeong Won Choi, Dae Hyun
Abstract	This study proposes an efficient and accurate method for updating measurements weight in a distributed multi-area power system state estimation. In general, a power system state estimation is formulated in a weighted least squares (WLS) problem where the selection of weights for various types of measurements is one of the key factors for maintaining the accuracy of state estimation. The authors develop a weight updating algorithm based on the proposed scheme in a distributed state estimation. In the proposed scheme, which includes pseudo measurements to enhance the measurement redundancy at the local and the global levels, the developed weight update approach along with the weight adjustment equations for pseudo measurements can improve the accuracy and convergence speed of the measurements weight updating. A simulation study is performed in the IEEE 30-bus and 118-bus systems, and the results demonstrate the advantages of the proposed approach over the conventional approach in terms of the capability for bad data detection as well as the accuracy of the updated weight and estimation solution and the convergence speed.
Starting Page	2552
Ending Page	2561
Page Count	10
ISSN	17518687
Volume Number	11
e-ISSN	17518695
Issue Number	Issue 10, Jul (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/11/10
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2016.1493
Journal	IET Generation, Transmission & Distribution
Publisher Date	2017-04-25
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Bad Data Detection Distributed Multiarea Power System State Estimation Distributed Multiarea WLS State Estimation Interpolation And Function Approximation Least Squares Approximation Measurement Redundancy Measurement Weight Update Numerical Analysis Power System Measurement Power System Measurement And Metering Power System State Estimation Weight Adjustment Equation Weighted Least Squares
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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