The Optimization Methods Based on Big Data Technologies of Power System Protection

Hao Ran Xue; Bin Li; Kun Ji; Zhi Qiang Wang; Xiao Jun Kong

doi:10.4028/www.scientific.net/AMR.918.129

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 918The Optimization Methods Based on Big Data...

The Optimization Methods Based on Big Data Technologies of Power System Protection

Abstract:

Power system protection is one important work which relate to security and stability of the power system. Power system relay protection is a very important part of power system and it relates to the power system security and stability. The time for fault reaction of power system protection determines the reliability of system protection and sensitivity. This paper mainly for the malfunctions of power system, we used the techniques of big data to reduce the size of the power network. We used the distributed computation and parallel computing to calculate fault calculation, topology analysis and setting calculation, which can shorten the operation time of protection equipment. At the same time, it also can improve the quality of the power and it can reduce the time harming the equipment and ensure the stable operation of the system.

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Periodical:

Advanced Materials Research (Volume 918)

Pages:

129-135

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.918.129

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Online since:

April 2014

Authors:

Hao Ran Xue*, Bin Li, Kun Ji, Zhi Qiang Wang, Xiao Jun Kong

Keywords:

Distributed Computation, Failure Computational Analysis, Parallel Computation, Power System Relay Protection, Technologies of Big Data

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* - Corresponding Author

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