Optimal Operation of Grid-Tied PV & BESS Powered Smart Home with Electric Vehicle using AOA

Integrated smart homes using sustainable energy and storage system require intelligent energy management strategies to enhance performance and save money. This paper focuses on the optimal energy management strategy of a smart home with a photovoltaic (PV) and battery energy storage system (BESS). This study is motivated by challenges associated with renewable energy supplies, the load demand of home appliances, and electric vehicles (EVs). Electricity buying costs from the grid and load responsive index are designed as a multi-objective problem to provide optimal scheduling for PV and BESS while charging EVs and satisfying home power demands simultaneously. The multi-objective problem is solved arithmetic optimization algorithm (AOA). This paper investigates the relationship between electricity buying costs from the grid and the load responsiveness index. The proposed method is applied to a smart home integrated with PV and BESS. The performance of the proposed energy management strategy is discussed in the result analysis section.