Day-Ahead Power Consumption Scheduling in a Smart Home with RES and BS Integration

Abstract

This study investigates the implementation of a power scheduling strategy in a smart home with solar panels and Battery Storage (BS) integration. In general, the user has to choose between two objectives. Either to minimize the Electricity Payments (EP) while scarifying his comfort or to maximize his comfort while paying more. To this end, the main target behind this strategy is to find a compromise solution between EP and the User Discomfort (UD). Generally, the discomfort is caused due to the way the home devices operate. In this work, the discomfort is associated not only with the delay of the Time Controllable Appliances (TCAs) but also with the power deviation of the Power Controllable Appliances (PCAs). Assuming that the electricity tariffs and the solar panel generation are already known, the suggested scheduling technique is structured as an optimization problem including continuous and integer variables. Optimal solvers are deployed to yield exact solutions. The simulation findings demonstrate that the proposed strategy achieves the main target and provides exact scheduling patterns.