Big Data Analytics for Internet of Things

9Application of High‐Performance Computing in Synchrophasor Data Management and Analysis for Power Grids

C.M. Thasnimol and R. Rajathy

Department of Electrical and Electronics Engineering (EEE), Pondicherry Engineering College, Puducherry, India

9.1 Introduction

Demand for electrical energy is increasing day by day. The conventional methods of power generation and distribution are not efficient enough to resolve the thirst for electrical energy. Conservation and preservation of the environmental resources are the main reasons for shifting from centralized generation to distributed generation system. The increased exploitation of distributed generation systems results in a two‐way flow of energy. It causes electric congestion, heating, and failure in both supply channel and transmission network, which will lead to blackouts eventually. There is no adequate information and communication system in the grid to examine disruptions in the network. Supervisory control and data acquisition (SCADA) systems are reliable solutions for this in terms of giving a static view of the power system. However, dynamic event monitoring is not possible through this system because of its low reporting rate. SCADA system analyses only two‐three sample data per second.

Complete power generation system is mapped by the wide area monitoring system (WAMS). Global positioning system (GPS) enabled the phasor measurement unit (PMU) offer synchronized values of voltage, power, frequency, and fluctuation ...