Optimization of a seasonal parametrization of the interaction of two operational management strategies of stationary battery storage systems in industrial power grids

Abstract:
Operating stationary battery energy storage systems (BESS) in a multi-use (MU) of different management strategies has the potential for optimization. This approach deals with the combination of self-consumption optimization (SCO) and peak load shaving (PS) in industrial power grids. The optimization approach is based on the characteristic of the production of renewable energy systems (RES) that especially for photovoltaic (PV) changes in his power generation throughout the year. The resulting residual load is characterized by RES overproduction in the summer month and peak loads in the winter month. To operate the BESS in the optimal way, the capacity distribution must change throughout the year to adapt to the characteristics of the residual profile. Therefore, the BESS will reserve more capacity for PS in the winter month and more for SCO in the summer month. This adaption can increase the savings generated by the BESS for the considered example by approx. 15 percent. In addition to increasing the absolute savings, the seasonal parametrization of multi-use (MUSP) can reduce the risk of exceeding predefined peak loads in PS applications.