A Water Filling Energy distributive algorithm based HEMS in coordination with PEV

Abstract

Abstract The implementation of Home Energy Management System (HEMS) in the recent research works have directed to revolutions in the conservation of energy and the environment along with savings in cost and enhancement in comfort levels. The implication of carrying out this research is to propose a home energy management approach combined with the insertion of Plug-in Electric Vehicles (PEVs) into the system to minimize the complete expense of electrical energy without losing the ease of the appliances. A Belgium house in a freezing climate and Time of Use (ToU) demand response program is probed in the following case study. The Water Filling Energy distribution algorithm is implemented in the study without violating the constraints of the overall system and individual appliances such as thermal comforts of Heat Pump (HP), Combined Heat and Power (CHP) units, State of Charge (SOC) limits of batteries and time restrictions of Washing Machine (WM), Cloth Dryer (CD) and Dish Washer (DW) The objectives are formulated as an optimization problem and are solved by Genetic Algorithm. On this account, the consequential effects on the grid energy deviation, SOC and lifetime of the battery are investigated. Thereby, the stress on the grid and battery are also explored.