DocumentCode :
3221169
Title :
Restoring solutions for unsolvable cases via minimum load shedding for a specified direction
Author :
Barboza, Luciano V. ; Salgado, Roberto
Author_Institution :
Universidade Catolica de Pelotas, Brazil
fYear :
2001
fDate :
2001
Firstpage :
374
Lastpage :
379
Abstract :
This paper focuses on a methodology to determine corrective adjustments on the electric power network when the steady-state power flow equations have no real solution. The proposed approach is based on the nonlinear version of the predictor-corrector primal-dual interior point optimization algorithm. The active and reactive power loads are parameterized. They are expressed in terms of a base demand, a pre-specified rate of load decrease (here called specified direction) and a load parameter. The demand factor and the specified direction indicate the amount of load to be curtailed. The optimization problem consists of minimizing this factor, so that the solution of the power flow equations is restored. The operational limits of the power system are modeled as inequality constraints. Results obtained for three real networks of 352, 749 and 1916 buses, equivalent to the Brazilian South-Southeast power system, illustrate the performance of the proposed technique
Keywords :
load flow; load shedding; optimisation; power systems; reactive power; Brazilian South-Southeast power system; active power loads; corrective adjustments; corrective power flow solutions; demand factor; electric power network; load parameter; minimum load shedding; operational limits; optimal power flow; power flow equations; predictor-corrector primal-dual interior point optimization algorithm; reactive power loads; specified direction; steady-state power flow equations; unsolvable power flow; Computer aided software engineering; Equations; Load flow; Power system analysis computing; Power system modeling; Power system planning; Power system restoration; Power systems; Reactive power; Steady-state;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Industry Computer Applications, 2001. PICA 2001. Innovative Computing for Power - Electric Energy Meets the Market. 22nd IEEE Power Engineering Society International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6681-6
Type :
conf
DOI :
10.1109/PICA.2001.932380
Filename :
932380
Link To Document :
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