Cloud-Based Energy Management in Residential and Commercial V2G Networked Microgrid

This paper proposes energy management in residential and commercial DC microgrids with Vehicle-to-grid energy exchange. Loads are monitored and controlled using a Thingspeak cloud server, which generates control commands based on sensor inputs. The hardware system is designed using NodeMCU-ESP8266 and NodeMCU-ESP32 and manages load and sources within a home environment. The LabVIEW is used to demonstrate the control action for demand side management, while Sources like photovoltaic, electric vehicle batteries and the grid are optimized using a real-time price-based algorithm. The system was modelled in MATLAB/Simulink, and OPAL-RT simulates the real-time operation of a price-based electric vehicle battery management system to perform V2G operation.