Design And Analysis Of Bio-Inspired Control Techniques For Energy Flow In A Smart Grid

Abstract

The smart grid concept is critical in order to use renewable energy efficiently, which necessitates the integration of renewable energy sources. Rising electricity demand has increased efforts to generate and meet rising demand. As a result, suppliers attempted to reduce consumption with the help of users. Requests to move unnecessary loads outside of peak hours use other generators to supply the grid, and provide incentives to users have all had a significant impact. Automated Home Energy Management System use load scheduling techniques to control house appliances in response to Demand Responce signals. This thesis introduces HEMS, which automatically schedules appliances throughout the house to save money. Thermal loads are prioritized by controllers because they have the greatest impact on the electricity bill. They do, however, take into account many factors that similar models do not, such as the physical properties of the room/medium, the outside temperatures, the comfort levels of the users, and the occupancy of the house.