DocumentCode :
3469024
Title :
Characteristic vector of differential equation load model and its case study on statistics analysis
Author :
Peng, Wang ; Jin, Zhang ; Tao, Xu ; Wei-guo, Wang ; Ren-mu, He
Author_Institution :
Sch. of Elect. Eng., North China Electr. Power Univ., Beijing, China
Volume :
2
fYear :
2004
fDate :
21-24 Nov. 2004
Firstpage :
1432
Abstract :
Load model plays important role in the dynamic simulation of power system. The time-varying property of load in short-time appears to be stochastic in long-term. Thus the approach in this paper to study the statistical regularity of load characteristic vector, based on probability distribution and statistics, gives references to the choice and application of load model and its parameters. This paper proposes the following approaches. First, the differential equation model is transformed into continuous state space model, and is solved for the time-domain response curve against step input. Second, the characteristic parameters of response curve, represented by [kt Tf,ks], are distilled as the characteristic vector of load property. 69 sets of effective sampling data from Yuzhuang substation of Cangzhou region in China were studied for the character parameters of load model, from which useful conclusions of the load model variety regularity have been got.
Keywords :
differential equations; power system simulation; state-space methods; statistical distributions; substations; time-domain analysis; China; Yuzhuang substation; characteristic vector; continuous state space model; differential equation; dynamic simulation; load model; power system; probability distribution; statistical analysis; statistical regularity; time-domain response; time-varying property; Differential equations; Load modeling; Power system analysis computing; Power system dynamics; Power system modeling; Power system simulation; Probability distribution; Statistical analysis; Statistical distributions; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power System Technology, 2004. PowerCon 2004. 2004 International Conference on
Print_ISBN :
0-7803-8610-8
Type :
conf
DOI :
10.1109/ICPST.2004.1460227
Filename :
1460227
Link To Document :
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