A Multi-Objective Optimization-based EMS for Residential Microgrids Considering Battery SoH

The increasing integration of batteries in residential microgrids calls for careful consideration of their usage pattern to preserve their state of health (SoH). In fact, using batteries without accounting for degradation phenomena leads to reduced lifetime. This paper proposes a multi-objective Energy Management System (EMS) for a residential microgrid that aims to reduce the user's electricity bill and increase battery life. To suitably account for battery state of health (SoH), a control-oriented physical aging model of the battery has been embedded in the EMS formulation. The choice of such a model allows for effectively incorporating the battery aging process into the algorithm. The optimization problem is solved through dynamic programming, which allows disregarding issues related to model convexity. Different weights between the two objectives and different battery initial ages are used to assess the behavior of the EMS in simulation. Results show an improvement of the battery SoH with the proposed EMS after 100 days in all the scenarios considered.