Monitoring Battery and Load Control of Solar Power Plants Using Internet of Things (IoT) Technology

Abstract

At present Indonesia has a large potential Solar Power Plant. This study aims to design a battery monitoring system at Solar Power Plant that can monitor battery performance in real time based on the Internet of Things (IoT) using the blynk platform. By using the INA219 sensor as a measurement of current, voltage, and battery capacity measurements using the Open Circuit Voltage (OCV) method and ESP32 microcontroller as a liaison between research tools and the blynk platform using an internet network connection and relays as a regulator of electricity flow to load-based (IoT). This test focuses on current and voltage parameters when loaded and when not loaded. For the accuracy value of no-load stress testing of 99.89%, stress testing using a load of 96.75%, no-load current testing of 97.16%, and current testing using a load of 97.17% of 20 data collections. For testing battery capacity by method (OCV) obtained an accuracy value of 99.79%. So that the INA219 sensor has a high accuracy value.