Abstract
This paper reports a new and efficient algorithm for state estimation in power systems. The algorithm makes use of ‘Data Equations’ and Householder orthogonal transformations and is well suited for efficient batch processing with one or more measurements in a batch. Another attractive feature of the present algorithm is its efficiency in dealing with bad data. It evaluates automatically the unbiased estimates of the standard deviations of the measurement errors. This feature is exploited in proposing a Detection, Estimation and Correction (DEC) scheme to deal with bad data. The excellent numerical properties and the efficient bad data analysis capabilities, along with batch processing ability of the present algorithm are demonstrated by simulation results on an IEEE 30-bus test system.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
