As the power grid dynamic monitoring platform

the widely use of Wide-area Measurement System（ WAMS） will help the grid operator monitor and analyze the dynamic changes in power grid operation. However

the huge dataset generated by WAMS and requirement of high efficient analysis platform are the challenges of WAMS applications. This paper has conducted thorough study of the parallel line parameter identification algorithm based on Hadoop platform

and provided the parallel algorithm design and implementation methods. It provides a efficient solution for line parameter identification using WAMS data. The comparison test demonstrates that the Hadoop platform based parallel line parameter identification algorithm will boost the efficiency greatly

and it is suitable for processing huge datasets.