DocumentCode :
396161
Title :
Estimating loads in distribution feeders using a state estimator algorithm with additional adjustment of transformers loading factors
Author :
Almeida, Marcos A D ; Silveira, Daniel B F ; de Medeiros, M.F.
Author_Institution :
Dept. of Electr. Eng., Univ. Fed. do Rio Grande do Norte, Natal, Brazil
Volume :
3
fYear :
2003
fDate :
25-28 May 2003
Abstract :
The main characteristic that hinders the application of state estimation methods in a distribution network is the limited amount of available data in real time. However, the need for automating and controlling the operation requires the use of some equipment that incorporates measurement modules of network variables, the values of which are transmitted in real time for the System Operation Center. These variables, combined with data obtained off-line - that are treated as pseudomeasurement - allow the application of traditional algorithms of state estimation for a distribution system. The main objective of this paper consists of showing how such a model can be developed to accomplish an estimate of the loads in a primary distribution network. These values can be used for many planning purposes like, for example, estimates of technical losses, using further load flow calculations.
Keywords :
load flow; power distribution control; power distribution planning; power system state estimation; distribution feeders; distribution network; load flow calculations; planning purposes; primary distribution network; pseudomeasurement; state estimation methods; state estimator algorithm; system operation center; technical losses estimation; transformer loading factors; Automatic control; Control systems; Equations; Jacobian matrices; Load flow; Power system planning; Real time systems; State estimation; Transformers; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on
Print_ISBN :
0-7803-7761-3
Type :
conf
DOI :
10.1109/ISCAS.2003.1205022
Filename :
1205022
Link To Document :
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