Investigation of the effects of residential battery storage deployment on peak-shaving performance

Peak-shaving and load leveling have been one of the most important issues of power system.  There are some ways to reduce and smooth out peak loads. With the development of microgrid and smart grid concepts, installation of distributed generation (DG) and renewable energy resources as well as distributed battery storages, which are rapidly increasing on modern distribution grid, have been introduced as one of the solution for this issue. This paper aims to assess the effects of residential battery storage deployment on the peak demand shaving. The problem is formulated as a mixed-integer linear programming (MILP) and implemented in GAMS. The results show that the optimal charge/discharge scheduling of residential battery storages could reduce peak demand and make the load profile smoother.