Unit commitment model with limited switches and shallow depth of charge and discharge

The operation of energy storage battery is closely and intrinsically interrelated. From the viewpoint of the battery's heat emission and memory effect, the paper proposes the constraints that restrict switch times between charging and discharging, model the battery's status by charge, discharge, and off, and avoid frequent switches of the battery's status within a day. Based on the power exchange, the paper reviews the unit commitment model which considers traditional battery degradation. Then a novel method for evaluating battery degradation fee is proposed from the viewpoint of extending the battery's lifecycle, in which battery depth is piecewise with the penalty in objective function. The deeper the depth of charge/ discharge, the more expensive the battery aging fee. The models in this paper are mixed integer linear programming (MILP) problems, which are solvable by calling commercial optimizers. Consequently, through the IEEE 6 bus system, the case study verifies the precision of assorting battery status and the effectiveness of limiting switch times. In addition, it makes the comparison of battery aging assessment between the results of the conventional method and novel one via IEEE 6 bus and IEEE 118 bus topology respectively, and it is further prevailing that on the premise of guaranteeing economic optimality all the batteries involved prefer to operate under shallow depth, leading to extended battery lifespan.