Aiming at improving the computing capability of power system cascading failure analysis

this paper proposes a platform which employs a distributed computing framework

Hadoop as an underlying infrastructure for power system cascading failures simulation and evaluation. Based on the power flow computation and time-domain simulation supported by PSD-BPA suites

the research significantly functions the action tripping logic

the filtering of pre-defined contingencies

fault chains searching and severity measurement. By means of the deployment of Hadoop framework with its distributed file system and customized dispatching program

our platform can integrate multiple simulation modules and supply services in processing computational intensive cascading failure scenarios. The experiments were carried out using the data of two benchmark systems and one practical power system respectively. The results indicate that the platform can dispatch computing tasks to nodes with considering load balancing. And it is self-adaptively processing the scale of fault chains in parallel. It is proved advanced stability and security analysis for power system. The proposed framework has the potential for on-line. This work is supported by National Natural Science Foundation of China (No. 51207098).