Iot-Enabled Smart Grid Monitoring Enhanced with SEPIC Converter and ANN Based Maximum Power Point Tracking

Smart Grid and Internet of Things (IoT) technologies are essential for monitoring and improving applications across a variety of fields. The purpose of a solar cell, also known as a Photovoltaic(PV) cell, is to collect solar radiation and generate electricity. The primary use of solar panels is the direct conversion of solar energy into electric power. In the smart grid, a single-ended primary-inductance converter (SEPIC converter) is utilised to execute an Artificial Neural Network (ANN)-based Maximum Power Point Tracking (MPPT) approach. This would improve smart grid monitoring with the use of the IoT. In the suggested system, a very capable SEPIC converter is used to increase PV array utilisation while maintaining a continuous current flow. An SEPIC converter increases the PV voltage, and the ANN technique helps to achieve the highest level of reliability. A 3 ϕ Voltage Source Inverter (VSI) is used to feed the system's output to the 3ϕ grid, and sensors (NODE MCU) installed in the IoT module measure different parameters and are further monitored by sensors and stored in IoT webpage. Fuzzy logic controller (FLC) is used to forecast the shortest distance, resulting in faster convergence. The data produced show that the entire configuration improves the monitoring of smart grid characteristics. The parameters were taken from the recommended smart grid and are displayed on the Adafruit cloud platform's IoT webpage. While the reactive power initially varies and then stays constant at 600VAR throughout the system, the real power value is seen to be 8800W.