DocumentCode :
3469426
Title :
On identification method for load flow calculation of electric power system based on symbolic network function
Author :
Ri-cheng, Luo
Author_Institution :
North China Power Grid Co., Beijing
fYear :
2008
fDate :
6-9 April 2008
Firstpage :
629
Lastpage :
634
Abstract :
This paper develops a new and efficient method, named symbolic analysis method, for the load flow calculation of power systems. It used symbol to express circuit element\´s parameters and solved the k-trees of the network, therefore, the symbolic expression of node voltage variables in node matrix equation can be evaluated; Generalized-tree method is applied in spanning tree-group of complex network, it solved the difficulty that the work of calculation and the capacity of storage are excessively increase by the increasing nodes when generating all k-tree of network. Comparing with traditional approach of load flow calculation, symbolic analysis method avoided algorithm\´s nonconvergent question and more solution phenomena, improved speed and accuracy of calculation, alleviated the "calculation catastrophe" of load flow calculation in electrical power system, and its correctness is validated by results of calculation examples.
Keywords :
load flow; matrix algebra; trees (mathematics); calculation catastrophe; circuit element parameters; electric power system; generalized-tree method; identification method; load flow calculation; node matrix equation; spanning tree-group; symbolic analysis method; Accuracy; Algorithm design and analysis; Circuits; Complex networks; Equations; Load flow; Load flow analysis; Power system analysis computing; Transfer functions; Voltage; Graph theory; Load flow calculation; Node admittance matrix; Power system; Symbolic analysis; k-tree;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
Conference_Location :
Nanjuing
Print_ISBN :
978-7-900714-13-8
Electronic_ISBN :
978-7-900714-13-8
Type :
conf
DOI :
10.1109/DRPT.2008.4523482
Filename :
4523482
Link To Document :
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