Title :
Performance study of distributed state estimation algorithms on the HiPerDNO HPC platform
Author :
Lopatka, P. ; Salvini, S. ; Nusrat, N. ; De-Alvaro, L. ; Wallom, D.
Abstract :
This paper presents two distribution state estimation algorithms developed in the HiPerDNO project. The algorithms decompose the network into zones, for efficient parallel computation. We report on the algorithms, their implementation on a parallel system and their test and benchmark results.
Keywords :
distributed algorithms; distribution networks; parallel processing; power engineering computing; power system state estimation; HiPerDNO HPC platform; distributed state estimation algorithms; high performance computing technology; parallel system; Algorithm design and analysis; Educational institutions; MATLAB; Pipelines; Scalability; State estimation; MPI; distributed state estimation; high performance computing;
Conference_Titel :
Universities Power Engineering Conference (UPEC), 2012 47th International
Conference_Location :
London
Print_ISBN :
978-1-4673-2854-8
Electronic_ISBN :
978-1-4673-2855-5
DOI :
10.1109/UPEC.2012.6398567
