NDLI: A New Approach for Detection and Identification of Multiple Bad Data in Power System State Estimation

Content Provider	IEEE Xplore Digital Library
Author	Xiang Nian-de Wang Shi-ying Yu Er-keng
Copyright Year	1963
Abstract	This paper presents a new approach for detection and identification of ultiple bad data --- estimation-identification approach which has been developed in order to improve the performance of static-state estimators of power systems. It describes the important function of detection and identification of bad data which is of crucial importance in designing a static-state estimator as a basic element in power system real-time control; it also discusses tthe basic principle, method of solution and programing technique of so called "Estimation-Identificaition Approach" which is based on the better utilization of the resources of residues and the analysis of the property of its sensitivity matrix; and some test results of simulation on a model system and a practical searching system of doubtful data are given. Test results of identifying bad data is good, it is usually successful especially in the case of the occurence of multi-bad data. At the end of this paper comments concerning the advantages of this approach and its recommendation as a prospective practical approach in real-time applications are given.
Starting Page	454
Ending Page	462
Page Count	9
File Size	2576316
File Format	PDF
ISSN	00189510
Volume Number	PAS-101
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1982-02-01
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Power systems State estimation Power system reliability Power system measurements Power measurement Power system control Control systems Power system simulation Real time systems Testing
Content Type	Text
Resource Type	Article
Subject	Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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