Cost-based modeling for optimal energy management of smart buildings with renewable energy resources and electric vehicles using a scenario-based algorithm

The growth of electricity consumption and demand for higher quality of electricity have directed the electricity industry towards using new technologies. The rising trend of privatization, competitive nature of the electricity market and transformation of large investors into smaller ones have motivated electricity industry managers to pay more attention to increasing the generated power and grid equipment with maximum energy efficiency and minimum operation costs. Simultaneous use of different infrastructures for energy transfer and generation has led to the concept of energy hubs. Herein, a novel method is proposed to bridge the research gap in simultaneous optimization of solar system capacity and household energy hub operation. The proposed method is implemented on a household energy hub including controllable and uncontrollable loads, combined heat and power unit (CHP), grid-connected hybrid electric vehicles (EVs), heating loads and solar system. Studies were conducted in different conditions to compare the proposed method with the existing methods of optimal operation of household energy hubs and the simultaneous optimization of planning and operation problems with an emphasis on the solar system to highlight the benefits of the proposed method. The results indicate the efficiency of the proposed method in reducing operating costs and increasing the efficiency of the household energy hub while maintaining the user comfort level at the highest level.