DocumentCode
51974
Title
Identifying Parameter Errors via Multiple Measurement Scans
Author
Liuxi Zhang ; Abur, Ali
Author_Institution
Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA
Volume
28
Issue
4
fYear
2013
fDate
Nov. 2013
Firstpage
3916
Lastpage
3923
Abstract
This paper investigates the problem of network parameter error detection and identification in power systems. Recently, a parameter error identification method which is based on Lagrange multipliers corresponding to a single measurement scan has been developed. This paper provides an improvement of this method via the use of multiple measurement scans which increases the local redundancy at no additional cost. This leads to identification of errors which could otherwise not be identified. The paper presents a detailed analysis of the limitations of the single scan method and also shows the relationship between the number of scans, the normalized Lagrange multipliers and the normalized residuals. The presented method is easy to implement since estimation of different scans can be executed independent of each other by using an existing state estimation program. Simulations on IEEE 14-, 30-, and 118-bus systems are provided to illustrate the proposed approach of parameter error identification.
Keywords
IEEE standards; power system measurement; power system parameter estimation; power system state estimation; IEEE 118-bus system; IEEE 14-bus system; IEEE 30-bus system; costing; multiple measurement scanning; network parameter error detection; normalized Lagrange multiplier; parameter error identification method; power system identification; state estimation program; Bad data processing; multiple measurement scans; optimization; parameter errors; state estimation;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/TPWRS.2013.2254504
Filename
6514677
Link To Document