Power systems computations for nowadays common large distributed systems typically involve the usage of very large sparse matrices, whose analysis and verification is very time and memory consuming. When blocked, sparse matrices can be processed much more efficiently, and this made blocked sparse matrices widely used in acquiring solutions for power system problems. The established sparse matrix storage and reordering techniques however do not fully utilize the existing computer architecture, thus search for efficient sparse system solution is ongoing. This paper presents adjustments of well-known LU factorization algorithm suitable for use in power distribution network applications. LU factorization algorithm processes data in blocks and u...
This thesis presents research into parallel linear solvers for block-diagonal-bordered sparse matric...
Power flow computation is ubiquitous in the operation and planning of power systems.\ud Traditional ...
This paper presents a new node ordering algorithm to enhance sparse vector methods. The proposed tec...
Power systems computations for nowadays common large distributed systems typically involve the usage...
Parallelizing the LU factorization of sparse Jacobian matrices reduces the execution time of the pow...
A coarse-grain parallel implementation is presented of LU factorisation, forward and backward substi...
This article presents two fast, sparsity-based power system matrices computation procedures. The fir...
Cataloged from PDF version of article.Standard sparsity-based algorithms used in power system appll...
AbstractPower flow computing and optimal power flow computing are the most used tools within the pow...
With the increase of size and complexity of interconnected power system, the dynamic stability simul...
With the increase of size and complexity of interconnected power system, the dynamic stability simul...
Solving sparse systems of linear equations permeates power system analysis. Newton-Raphson, decouple...
AbstractThe power flow computing and optimal power flow computing are the most used tools within the...
Power Distribution Management System (PDMS) uses very sophisticated algorithms to deliver reliable a...
Research is on-going that examines parallel direct block-diagonal-bordered sparse linear solvers for...
This thesis presents research into parallel linear solvers for block-diagonal-bordered sparse matric...
Power flow computation is ubiquitous in the operation and planning of power systems.\ud Traditional ...
This paper presents a new node ordering algorithm to enhance sparse vector methods. The proposed tec...
Power systems computations for nowadays common large distributed systems typically involve the usage...
Parallelizing the LU factorization of sparse Jacobian matrices reduces the execution time of the pow...
A coarse-grain parallel implementation is presented of LU factorisation, forward and backward substi...
This article presents two fast, sparsity-based power system matrices computation procedures. The fir...
Cataloged from PDF version of article.Standard sparsity-based algorithms used in power system appll...
AbstractPower flow computing and optimal power flow computing are the most used tools within the pow...
With the increase of size and complexity of interconnected power system, the dynamic stability simul...
With the increase of size and complexity of interconnected power system, the dynamic stability simul...
Solving sparse systems of linear equations permeates power system analysis. Newton-Raphson, decouple...
AbstractThe power flow computing and optimal power flow computing are the most used tools within the...
Power Distribution Management System (PDMS) uses very sophisticated algorithms to deliver reliable a...
Research is on-going that examines parallel direct block-diagonal-bordered sparse linear solvers for...
This thesis presents research into parallel linear solvers for block-diagonal-bordered sparse matric...
Power flow computation is ubiquitous in the operation and planning of power systems.\ud Traditional ...
This paper presents a new node ordering algorithm to enhance sparse vector methods. The proposed tec...