In this paper, a method to find the critical load profile
for estimating the battery storage size is proposed. The critical
load profile consists of broadest peak in annual historical load
profile data and is assumed an outlier. The LOF (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 annual
load growth, helps in deciding the expected size of battery
energy storage system (BESS) for the year of interest. The BESS
sized with this power and energy ratings is useful in daily time
deferrals, load leveling and peak shaving applications.
Funding
DST-UKIERI, New Delhi
History
School
Mechanical, Electrical and Manufacturing Engineering
Research Unit
Centre for Renewable Energy Systems Technology (CREST)
Published in
IEEE PES General Meeting 2015
Citation
SHARMA, D.D. ... et al., 2015. Critical load profile estimation for sizing of battery storage system. IEEE Power & Energy Society General Meeting, Denver, USA, 26-30 July.
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/