Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science

State Estimation Of Parallel Algorithms

Authors
Yingjie Fan
Corresponding Author
Yingjie Fan
Available Online May 2014.
DOI
https://doi.org/10.2991/lemcs-14.2014.93How to use a DOI?
Keywords
power system state estimation; minimal cut sets ; OpenMp ; parallel algorithm.
Abstract
Though the current power system state estimation is quite mature, with the interconnection of electric power system, the system linearization matrix increased, the size of serial method reveal certain disadvantages. On the execution efficiency is difficult to meet the requirements of computing speed, so the power system state estimation need to be faster, higher algorithm of numerical stability, guarantee the quality of power system. Real-time data due to the development of computer technology multicore CPUs has shown considerable advantages. This paper uses the method of minimum cut sets state estimation algorithm was improved on existing state estimation. In the actual test system for the trial, the large-scale system was used the minimum cut set apart for small systems, the Shared memory parallel programming model of OpenMp parallel technology (Open Multi - Processing), and this method is proposed.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2014)
Part of series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
978-94-6252-010-3
ISSN
1951-6851
DOI
https://doi.org/10.2991/lemcs-14.2014.93How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yingjie Fan
PY  - 2014/05
DA  - 2014/05
TI  - State Estimation Of Parallel Algorithms
BT  - International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2014)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-14.2014.93
DO  - https://doi.org/10.2991/lemcs-14.2014.93
ID  - Fan2014/05
ER  -