MPC Based Energy Management System for Grid-Connected Smart Buildings with EVs

With rapidly rising urban population, the concepts of smart cities are evolving to accommodate its dwellers. As a person most of the time remains within a building (residential or work), it becomes utmost important to convert these into energy efficient smart buildings. It uses renewable energy resources (RESs), viz., solar PV and wind turbines, diesel generator, electric vehicles (EVs), and connected to low voltage distribution grid. It has lighting, heating and cooling, as well as motoring loads. This combination of multiple sources and loads results into building integrated microgrids (BIMG) having a system of systems (SoSs) architecture. This article presents a model predictive control (MPC) based energy management of BIMG under grid-connected operation. It involve forecasting information of both generation and load profiles, power tariffs throughout the day, storage unit capacity and EVs coordination. Various test case scenarios and actual operating conditions of RESs were considered to determine the effectiveness of the proposed MPC method.