IOT Based Energy Meter with Billing System and Load Prioritization

Abstract

To build our own IoT-based electricity energy metre with billing system and load prioritization using ESP32 and monitoring data in this project. We enabled a smart energy metre that can communicate in both directions and display different parameters on both its built-in display and a web-based Headend-System application software. The metre calculates the current, voltage, and power output as well as the amount due in real time. With this metre, data collection and bill generation no longer require manual verification. The essential metre data can be viewed by a variety of parties, including consumers, linemen and power distributors, thanks to the IoT enabled meter's ability to simultaneously communicate this data to many devices. Additionally, having access to real-time data will assist electricity distributors better manage their grid and reduce energy waste by enabling them to examine user usage trends and successfully implement strategies like load balancing and shedding. Applying effective power restoration methodology, which must also include a systematic load prioritisation strategy that takes into account a number of practical issues that make the process of load prioritisation difficult and complex, is one important technique for enhancing system reliability. A dynamic load prioritisation model for service restoration is presented in this paper. The process places loads in order of priority and gives each load in the system a computed weight. The process places loads in order of priority and gives each load in the system a computed weight. These weights can be utilised as an input for any restoration optimisation issue because they are dynamic (i.e., time dependent).