Deploying an IoT-enabled Smart Grid Automation System for Continuous Optimization and Fault Identification
Abstract
The proposed paper is discussed about the “integration of IoT in smart grid” which has been elevated facilitating new ideas in order to facilitate developments of infrastructure for electric power. IoT has been a very important tool for power grids which makes them smarter and advanced as compared to traditional power grids. This paper focuses on to the prototype designing which will help in finding and monitoring the power, current, voltage, energy consumption, power theft, faulty grid, sensors/ equipment’s status and to display the data on webpage for virtual online monitoring. The Internet of Things uses a variety of sensors to carry out its functions and maintenance. The primary purposes of the sensors are maintenance and anti-theft measures. The model presented in this study addresses several additional problems that a smart system may handle to prevent needless losses for the energy producers in addition to solving this one by employing IOT as a communication tool. The proposed work is thus resolving in MATLAB with Simulink model of single phase and three phase fault detection in form of sudden change in voltage and current. After the detection of change in voltage and current, the data is transferred to data acquisition devices and then displayed on the webpage like things peak for monitoring.
Keywords: Smart grid, IOT, MATLAB, Power load, Producer side, Demand side, Fault detection etc.
INTRODUCTION: The development of smart grids is an improvement over traditional electricity grid. Energy is produced at centralised power plants in the conventional electrical system [1, 2]. Although it is a communication that only goes in one direction, smart grids are becoming increasingly important in order to attain high reliability in power systems. This system has long-lasting models for making and distributing energy [3, 4].