DocumentCode :
2394390
Title :
Incomplete Load Data Processing in Distribution System
Author :
Zhang, Tieyan ; Liu, Li ; Zhang, Huaguang ; Zhang, Yuan
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
fYear :
0
fDate :
0-0 0
Firstpage :
224
Lastpage :
226
Abstract :
The load data is incomplete in most distribution networks especially in the developing areas. It is necessary to process load data before distribution networks analysis. In this paper the methods of load data processing are studied and two parts of work are done. For missing data at measurement points, a combined model based on the least square theory is proposed to compensate the blank data. And for load data at non-measurement points, loop impedance method is adopted to calculate the unknown branch current so as to indicate unknown load data. Two examples are given to show the validity of the methods
Keywords :
distribution networks; least squares approximations; blank data; combined model; distribution networks analysis; distribution system; incomplete load data processing; least square theory; loop impedance method; measurement points; unknown branch current; unknown load data; Data processing; Equations; Impedance measurement; Intelligent networks; Least squares methods; Optimization methods; Power supplies; Power system measurements; Power system reliability; Predictive models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networking, Sensing and Control, 2006. ICNSC '06. Proceedings of the 2006 IEEE International Conference on
Conference_Location :
Ft. Lauderdale, FL
Print_ISBN :
1-4244-0065-1
Type :
conf
DOI :
10.1109/ICNSC.2006.1673147
Filename :
1673147
Link To Document :
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