A real-time dynamic optimization based heuristic algorithm for home energy management system

Authors: Lê Minh Hoàng*


Modern buildings are being designed with increasingly sophisticated energy management and control systems that have the capabilities for monitoring and controlling the conditions in buildings. Reducing and scheduling energy usage is the key for any home energy management system. To better match demand and supply, many utilities offer residential demand response program to change the pattern of power consumption of a residential customer by curtailing or shifting their energy use during the peak time period. In the present study, real time optimal schedule controller for home energy management system is proposed using a heuristic algorithm to manage the energy consumption. The proposed method gives optimal schedule for home devices in order to limit the demand of total load and schedule the operation of home appliances at specific times during the day. A set of the most common home appliances, namely, air conditioner, water heater, refrigerator, and washing machine has been considered to be controlled.


Energy Smart-Home, Residential demand response, Energy efficiency, Schedule controller
Pages : 1-8

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