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
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