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Optimization of Home Energy Management System at Peak Hours using Meta Heuristic Algorithm
Naveed, Anwar Begum, Balquees Farhan Ullah, Mian
Naveed, Anwar
Begum, Balquees
Farhan Ullah, Mian
Type
Supervisor
Date
2026-01-12
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Abstract
The growing demand for energy worldwide makes it increasingly important to balance grid loads and mitigate the environmental impact of energy use at the consumer level. Demand Side Management (DSM) serves as a proven alternative to building more power stations with their attendant environmental and social consequences. This work presents a new residential DSM approach for scheduling simultaneous real-time energy home uses according to user preference comfort levels. Unlike traditional DSM methods targeting on thermal-related appliances, a wide variety of household appliances is incorporated into the optimization model of the proposed approach and the user participation of DSM can be obtained to the most extent. In the envisaged model, a Centralized Controller Hub (CCH) with a Genetic Algorithm (GA) are utilized to optimize the shift able appliances scheduling in response to real-time pricing (RTP) signals. Real time user daily load profiles of Peak and Off-peak periods are considered and this system efficiently transfers peak load time to off peak time to reduce the energy cost. Simulation results show a drastic peak-hour energy saving, indicating the system's ability to minimize energy costs with very little trade-off in user comfort.