DocumentCode :
3083459
Title :
Non-intrusive method for on-line power load decomposition
Author :
Yu Yi-xin ; Li Peng ; Zhao Chun-liu
Author_Institution :
Key Lab. of Power Syst. Simulation & Control of Minist. of Educ., Tianjin Univ., Tianjin, China
fYear :
2008
fDate :
10-13 Dec. 2008
Firstpage :
1
Lastpage :
8
Abstract :
A novel non-intrusive method for on-line power load decomposition is introduced. This method is based on the following fact, that in normal operation states of electrical appliances, steady-state currents (including fundamental current and harmonic currents) of electrical appliances have normally certain statistical regularity. In such cases, a power load current can be approximately estimated by the linear superposition of the currents components of n main types of electrical appliances, when the power load consists of n main types of electrical appliances. The subject of the power load decomposition is to calculate a group of reasonable weight coefficients by an optimization method, so that the estimation current has the maximum similarity with the real current. The experimental results indicate that this method of load decomposition not only has higher precision and better stability but also is easy to be realized on-line.
Keywords :
approximation theory; domestic appliances; optimisation; statistical analysis; approximate estimation; current estimation; electrical appliances; linear superposition; nonintrusive method; on-line power load decomposition; optimization method; power load current; residential energy monitoring; statistical regularity; steady-state currents; Electrical products; Hardware; Monitoring; Power measurement; Power system harmonics; Power system planning; Power system simulation; Power system transients; Steady-state; Voltage; Load decomposition; differential evolution; harmonic analysis; load monitoring; non-intrusive; unit current;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electricity Distribution, 2008. CICED 2008. China International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-3373-5
Electronic_ISBN :
978-1-4244-3372-8
Type :
conf
DOI :
10.1109/CICED.2008.5211781
Filename :
5211781
Link To Document :
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