Integration of SCADA and embedded fuzzy-based load scheduling in Home Energy Management System with grid-connected PV

Load scheduling is a common approach to managing the energy consumption of home appliances in the Home Energy Management System (HEMS). This paper proposes a home appliance load scheduling based on the Sugeno fuzzy logic controller (FLC) in a home with grid-connected PV. The proposed approach integrates supervisory control and data acquisition (SCADA) and embedded systems. The embedded systems implement the FLC and simulate the power consumption of appliances in real-time. The Internet of Things (IoT)-based SCADA human machine interface (HMI) is incorporated to provide a user-friendly graphical interface monitoring system. The results show that the FLC achieves the lowest daily energy consumption of 5,030.17 watt-hours, reducing energy consumption by 4.6% during a week’s dataset simulation. The proposed fuzzy load scheduling offers the benefit of adjusting the fuzzy rules to follow the inhabitant’s behavior and can be implemented on existing or legacy appliances.