DocumentCode
3583683
Title
Reducing state estimation uncertainty through fuzzy logic evaluation of power system measurements
Author
Holbert, Keith E. ; Lin, Kang
Author_Institution
Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ
fYear
2004
Firstpage
205
Lastpage
211
Abstract
State estimation is widely used for bad data detection and identification. To further insure the validity of measurements from the power system, additional information is incorporated into sensor fault detection and isolation schemes. In particular, we develop a fuzzy logic-based state estimation method that includes data such as historical usage trends and component reliability. Results from applying this hybrid fuzzy classifier system to the IEEE 14-bus test system are presented
Keywords
fault location; fuzzy logic; power system measurement; power system state estimation; sensors; IEEE 14-bus test system; component reliability; data detection; data identification; fuzzy logic; hybrid fuzzy classifier; isolation scheme; power system measurement; sensor fault detection; state estimation; Electrical fault detection; Fuzzy logic; Fuzzy systems; Hybrid power systems; Power measurement; Power system faults; Power system measurements; Power system reliability; Sensor systems; State estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Probabilistic Methods Applied to Power Systems, 2004 International Conference on
Print_ISBN
0-9761319-1-9
Type
conf
Filename
1378688
Link To Document