Real-Time Peak Shaving Algorithm Using Fuzzy Wind Power Generation Curves for Large-Scale Battery Energy Storage Systems

This paper discusses real-time peak shaving algorithms for a large-scale battery energy storagesystem (BESS). Although several transmission and distribution functions could be implementedfor diverse purposes in BESS applications, this paper focuses on a real-time peakshaving algorithm for an energy time shift, considering wind power generation. In a high windpenetration environment, the effective load levels obtained by subtracting the wind generationfrom the load time series at each long-term cycle time unit are needed for efficient peakshaving. However, errors can exist in the forecast load and wind generation levels, and thereal-time peak shaving operation might require a method for wind generation that includescomparatively large forecasting errors. To effectively deal with the errors of wind generationforecasting, this paper proposes a real-time peak shaving algorithm for threshold value-basedpeak shaving that considers fuzzy wind power generation.