Abstract
This paper presents a novel method for energy management of a smart building including photovoltaic (PV) system, battery energy storage (BES), electric vehicles (EVs) and different load types. Indeed, using the developed model, the optimal cost day ahead energy scheduling of all types of loads which can participate in demand response program and charge/discharge regime of electric vehicle and battery energy storage system are determined. The studied system can interact with the power grid for both buy or sell electricity. Eventually, the main goal of the optimization problem is minimizing the customer costs considering EV and BESS depreciation. The whole problem including objective function and operational constraints are formulated as a mixed integer linear program (MILP) model and solved by CPLEX method using GAMS software. A real smart building located in Tehran, Iran is utilized as the study case and the efficiency and applicability of the proposed household energy management method is evaluated using real data for a summer, winter and rainy day.
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