DocumentCode :
2301795
Title :
Probabilistic distribution factors assessment using OptimalPowerPrice Mathematica software, case study: Test 25 buses test power system
Author :
Pop, O. ; Paunescu, D. ; Kilyeni, St ; Nemes, M. ; Kilyeni, A. ; Barbulescu, C.
Author_Institution :
Electr. Power Eng. Dept., Politeh. Univ., Timisoara, Romania
fYear :
2009
fDate :
28-29 May 2009
Firstpage :
453
Lastpage :
458
Abstract :
Competition within the electric power systems has proven the importance of distribution factors assessment. In addition, load characteristic is unpredictable, leading to a diversity of supply paths. As a result, probabilistic power flow analysis can provide better tools and information for determining the tracing of the generator-consumer path. In this paper, the authors analyze the probabilistic distribution power factors method using the OptimalPowerPrice Mathematica software. Moreover, a correlation between the generalized distribution factors is obtained by means of probabilistic and deterministic methods. The case study in Section IV presents the above approach using a 25 buses test power system.
Keywords :
mathematics computing; power distribution; power engineering computing; OptimalPowerPrice Mathematica software; electric power systems; generator-consumer path; probabilistic distribution factors; probabilistic power flow analysis; Computational intelligence; Informatics; Power systems; Software testing; System testing; distribution factors; optimal power price; probabilistic power flow;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Computational Intelligence and Informatics, 2009. SACI '09. 5th International Symposium on
Conference_Location :
Timisoara
Print_ISBN :
978-1-4244-4477-9
Electronic_ISBN :
978-1-4244-4478-6
Type :
conf
DOI :
10.1109/SACI.2009.5136291
Filename :
5136291
Link To Document :
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