AbstractThe fast decoupled load flow (FDLF) program which employing sparse matrix techniques needs less computer storage and running time, but makes it harder by modifying the program to adapt to further study such as power system security and continuation power flow. To meet study purposes a less complicated but fast FDLF algorithm is presented. A great deal of unnecessary computation is exempted in the algorithm simply by adding some selection actions in the procedure of Gauss elimination. The presented method needs a little more running time than the one using sparse matrix techniques, but it is much faster than the one without sparse matrix techniques. And it runs as fast as the practical Newton power flow with sparse matrix techniques ...
Power flow analysis is a very important and fundamental tool for power system. Commercial power syst...
In conventional power flow analysis, simultaneous linear equations numbering in thousands must be so...
This article presents two fast, sparsity-based power system matrices computation procedures. The fir...
AbstractThe fast decoupled load flow (FDLF) program which employing sparse matrix techniques needs l...
This paper presents some recent ideas on and methods created by power engineers for the solution of ...
This paper presents the assessment of fast decoupled load flow computation using three linear ...
AbstractThe Newton power flow program which employing sparse matrix techniques needs less computer s...
This paper presents the assessment of fast decoupled load flow computation using three linear system...
A framework is presented that allows systematic studies on the hypothesis underlying a variety of ve...
The purpose of this thesis is to expand the rigor of the development of new power flow solvers throu...
Vector processors have promised an enormous increase in computing speed for computationally intensiv...
This paper describes the implementation of Unified Power Flow Controller (UPFC) steady-state model i...
Cataloged from PDF version of article.Standard sparsity-based algorithms used in power system appll...
The development of loadflows derived from the basic Newton-Raphson algorithm is reviewed in this the...
New, fast and reliable algorithms for solving load-flow problems are presented in this thesis. Each ...
Power flow analysis is a very important and fundamental tool for power system. Commercial power syst...
In conventional power flow analysis, simultaneous linear equations numbering in thousands must be so...
This article presents two fast, sparsity-based power system matrices computation procedures. The fir...
AbstractThe fast decoupled load flow (FDLF) program which employing sparse matrix techniques needs l...
This paper presents some recent ideas on and methods created by power engineers for the solution of ...
This paper presents the assessment of fast decoupled load flow computation using three linear ...
AbstractThe Newton power flow program which employing sparse matrix techniques needs less computer s...
This paper presents the assessment of fast decoupled load flow computation using three linear system...
A framework is presented that allows systematic studies on the hypothesis underlying a variety of ve...
The purpose of this thesis is to expand the rigor of the development of new power flow solvers throu...
Vector processors have promised an enormous increase in computing speed for computationally intensiv...
This paper describes the implementation of Unified Power Flow Controller (UPFC) steady-state model i...
Cataloged from PDF version of article.Standard sparsity-based algorithms used in power system appll...
The development of loadflows derived from the basic Newton-Raphson algorithm is reviewed in this the...
New, fast and reliable algorithms for solving load-flow problems are presented in this thesis. Each ...
Power flow analysis is a very important and fundamental tool for power system. Commercial power syst...
In conventional power flow analysis, simultaneous linear equations numbering in thousands must be so...
This article presents two fast, sparsity-based power system matrices computation procedures. The fir...