  Batteries play a key role in today's power grid. In this paper, we
investigate the impact of battery degradation on the distribution network. We
formulate a multi-objective framework for optimizing battery scheduling with
the goals of minimizing monetary costs and improving network performance. Our
framework incorporates energy purchase and battery degradation into the costs
and measures the network performance through energy losses and voltage
deviation. We propose Bach for battery degradation-aware cheduling based on
e-constraint and fuzzy logic methods. Bach is implemented for the IEEE 33-bus
network for an experimental study. The results show the effectiveness of Bach
in optimizing costs and performance simultaneously with battery degradation
awareness and demonstrate the flexibility of further customization.
