State Estimation Of Parallel Algorithms

DOI

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.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yingjie Fan
PY  - 2014/05
DA  - 2014/05
TI  - State Estimation Of Parallel Algorithms
BT  - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
PB  - Atlantis Press
SP  - 400
EP  - 403
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-14.2014.93
DO  - 10.2991/lemcs-14.2014.93
ID  - Fan2014/05
ER  -