Big Data Acquisition from Actual IEEE 5 Bus System during Normal and Control Operations

The Electric Power System is divided into many different sections. One of which is the transmission system, where power is transmitted from generating stations and substations via transmission lines into consumers. Many unexpected or unwanted situations may arise in the transmission lines, and hence it is important to collect the data continuously, in real time, so that this big data can be analyzed and used to improvise the power system. It is important for the bus parameters to be displayed in a clear and lucid manner to make analysis of the line and bus parameters efficient and easy. A system has been designed for the same on a scaled-down version of the transmission system, the IEEE-5 bus system. The parameter data like phase and line Voltages, current, frequency, power, etc. are collected from the energy meter by Raspberry Pi and displayed on the cloud platform, Thingspeak, through RS485 interface using the MODBUS protocol. The data from ThingSpeak is available in a variety of formats, including JSON, CSV and XML. For this project, CSV data format has been chosen to represent the data.