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Critical load profile estimation for sizing of battery storage system

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conference contribution
posted on 2015-06-04, 10:40 authored by Desh D. Sharma, Sri Niwas Singh, Bharat Singh Rajpurohit, Francisco Gonzalez-LongattFrancisco Gonzalez-Longatt
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.

Publisher

© IEEE

Version

  • AM (Accepted Manuscript)

Publisher statement

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/

Publication date

2015

Notes

Accepted for the 2015 IEEE PES General Meeting (http://www.pes-gm.org/2015/) © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Language

  • en

Location

Denver, USA

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