In conventional power flow analysis, simultaneous linear equations numbering in thousands must be solved repeatedly and in many instances on-line. Luckily the matrix of coefficients of these equations is sparse with a few elements in each row. Therefore for a faster solution and to save computer memory, sparsity must be exploited and an optimal ordering of the equations must be sought. When considering harmonics, the number of the simultaneous equations to be solved is multiplied and therefore, considering sparsity and optimal ordering is doubly important. In this thesis a software package for optimizing computation time and memory requirements through exploitation of sparse matrices for Power System Bus Equations was developed. Exploitatio...
Conventional AC electric power systems are designed to operate with sinusoidal voltages and currents...
AbstractThe power flow computing and optimal power flow computing are the most used tools within the...
Vector processors have promised an enormous increase in computing speed for computationally intensiv...
This paper presents some recent ideas on and methods created by power engineers for the solution of ...
Solving nonlinear systems of equations is a central problem in numerical analysis, with enormous sig...
This is a post-peer-review, pre-copyedit version of an article published in Electric power component...
AbstractThe fast decoupled load flow (FDLF) program which employing sparse matrix techniques needs l...
AbstractPower flow computing and optimal power flow computing are the most used tools within the pow...
Solving sparse systems of linear equations permeates power system analysis. Newton-Raphson, decouple...
A thesis submitted to the university of London in fulfillment of the requirements for the degree of ...
The main topic of this thesis is harmonic power flow and its use in a simulation software that I hav...
The present day scenario of electrical power system engineering mainly encompasses the problems like...
Power flow calculations for systems with a large number of buses, e.g. grids with multiple voltage l...
As a continuation of the work done by the QSE (Electrical Supply Quality) research group at the UPC ...
New, fast and reliable algorithms for solving load-flow problems are presented in this thesis. Each ...
Conventional AC electric power systems are designed to operate with sinusoidal voltages and currents...
AbstractThe power flow computing and optimal power flow computing are the most used tools within the...
Vector processors have promised an enormous increase in computing speed for computationally intensiv...
This paper presents some recent ideas on and methods created by power engineers for the solution of ...
Solving nonlinear systems of equations is a central problem in numerical analysis, with enormous sig...
This is a post-peer-review, pre-copyedit version of an article published in Electric power component...
AbstractThe fast decoupled load flow (FDLF) program which employing sparse matrix techniques needs l...
AbstractPower flow computing and optimal power flow computing are the most used tools within the pow...
Solving sparse systems of linear equations permeates power system analysis. Newton-Raphson, decouple...
A thesis submitted to the university of London in fulfillment of the requirements for the degree of ...
The main topic of this thesis is harmonic power flow and its use in a simulation software that I hav...
The present day scenario of electrical power system engineering mainly encompasses the problems like...
Power flow calculations for systems with a large number of buses, e.g. grids with multiple voltage l...
As a continuation of the work done by the QSE (Electrical Supply Quality) research group at the UPC ...
New, fast and reliable algorithms for solving load-flow problems are presented in this thesis. Each ...
Conventional AC electric power systems are designed to operate with sinusoidal voltages and currents...
AbstractThe power flow computing and optimal power flow computing are the most used tools within the...
Vector processors have promised an enormous increase in computing speed for computationally intensiv...