Critical load profile estimation for sizing of battery storage system

This paper proposes a method to find the critical load profile for estimating the battery storage size. The critical load profile consists of broadest peak in annual historical load profile data and is assumed an outlier. The local outlier factor approach is implemented in finding the outliers, which are ranked according to degree of anomalies. The discharge duration in critical load profile, with consideration of percentage load growth in peak load of base year and maximum allowed demand 8.5 MW at IIT Kanpur, helps in deciding the expected size of Battery Energy Storage System (BESS). The BESS sized with this power and energy ratings is useful in daily time deferrals, load leveling and peak shaving applications.