Power network parameter estimation method based on data mining technology

The parameter values which actually change with the circumstances, weather and load level etc. produce great effect to the result of state estimation. A new parameter estimation method based on data mining technology was proposed. The clustering method was used to classify the historical data in sup...

Full description

Saved in:
Bibliographic Details
Published in:Shanghai jiao tong da xue xue bao 2008-08, Vol.13 (4), p.468-472
Main Authors: Zhang, Qi-ping, Wang, Cheng-min, Hou, Zhi-jian
Format: Article
Language:English
Subjects:
Architecture
Computer Science
Electrical Engineering
Engineering
Life Sciences
Materials Science
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The parameter values which actually change with the circumstances, weather and load level etc. produce great effect to the result of state estimation. A new parameter estimation method based on data mining technology was proposed. The clustering method was used to classify the historical data in supervisory control and data acquisition (SCADA) database as several types. The data processing technology was implied to treat the isolated point, missing data and yawp data in samples for classified groups. The measurement data which belong to each classification were introduced to the linear regression equation in order to gain the regression coefficient and actual parameters by the least square method. A practical system demonstrates the high correctness, reliability and strong practicability of the proposed method.
ISSN:1007-1172
1995-8188
DOI:10.1007/s12204-008-0468-y