An application of estimation-identification approach of multiple bad data in power system state estimation

Journal Article · Wed Feb 01 04:00:00 UTC 1984 · IEEE Trans. Power Appar. Syst.; (United States)

DOI:https://doi.org/10.1109/MPER.1984.5525473· OSTI ID:6756932

Nian-de, X; Er-keng, Y; Shi-ying, W

This paper gives an illustration of the application of The Estimation-Identification Approach (EIA) presented in ref. (1) for a special metering system--The Only-line Metering System (AEP). A new method of detection of suspected data based upon analysis of the elements of the residue sensitivity matrix is described. The utilization of the EIA based upon the search of suspected residue has been proved to be very rapid and effective for identifying multiple bad data in power system state estimation. Utilization of the special properties of the element of the residue sensitivity matrix in such a special metering system contributes to decrease their storage greatly. It implies that the practical application of the EIA can be achieved in power system state estimation. The most important characteristic of the new method is that all the informations required for detecting and identifying multiple bad data are taken at the current sampling time.

• Research Organization: Electrical Engineering Dept., Tsinghua Univ., Peking PRC
• OSTI ID: 6756932
• Journal Information: IEEE Trans. Power Appar. Syst.; (United States), Journal Name: IEEE Trans. Power Appar. Syst.; (United States) Vol. 103:2; ISSN IEPSA
• Country of Publication: United States
• Language: English

Related Subjects

29 ENERGY PLANNING, POLICY, AND ECONOMY
296000* -- Energy Planning & Policy-- Electric Power
CALCULATION METHODS
DATA ANALYSIS
ENERGY SYSTEMS
MATRICES
METERING
POWER SYSTEMS
SAMPLING
SENSITIVITY