DocumentCode
2617872
Title
The Research of Electric Appliance Running Status Detecting Based on DSP
Author
Li, Baoshu ; Quan, Chao ; Zhao, Shutao ; Tong, Weiguo ; Tao, Peng
Author_Institution
North China Electr. Power Univ., Baoding
fYear
2005
fDate
2005
Firstpage
1
Lastpage
4
Abstract
A new load detection method was presented based on its running status of power system. The loads are sorted according to their index of capacitive, inductive, and none-linear. The static character of each load was got according to the time-distribution. The concept of load detection is completed. The data-sample and wave recording equipment is designed and assembled based on the DSP for power loads status detecting. The superior software was designed for data management and analyzing. The recognizing status data was analyzed in both time-domain and frequency-domain; the identifying method for electric power loads status is deduced based on the correlation coefficient; the mathematical model for the status identifying is built; the trueness and validity of the methods is verified based on the testing and analyzing
Keywords
correlation methods; digital signal processing chips; frequency-domain analysis; load forecasting; power apparatus; power system state estimation; time-domain analysis; DSP; capacitive index; correlation coefficient; data management; data-sample; electric appliance; electric power loads status; frequency-domain analysis; inductive index; load detection method; mathematical model; nonlinear index; power system running status; time-distribution; time-domain analysis; wave recording equipment; Assembly; Data analysis; Digital signal processing; Frequency domain analysis; Home appliances; Mathematical model; Power systems; Software design; Testing; Time domain analysis; correlation coefficient; envelope method; frequency-domain; power load; running status; status identifying; time-domain;
fLanguage
English
Publisher
ieee
Conference_Titel
Transmission and Distribution Conference and Exhibition: Asia and Pacific, 2005 IEEE/PES
Conference_Location
Dalian
Print_ISBN
0-7803-9114-4
Type
conf
DOI
10.1109/TDC.2005.1547183
Filename
1547183
Link To Document