Determining Optimal Battery Storage along a Distribution Feeder

Sushrut Thakar, Vijay Vittal, Raja Ayyanar, Ernest Palomino, Kenneth Brown

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Battery storage is an important upcoming technology for the distribution grid. This paper examines the optimal size, allocation and schedule of battery storage for a real distribution feeder. The selected feeder is operating close to its capacity. Hence, the storage is designed with the primary goal of mitigating the overloads in the system, with minimization of power loss as the secondary goal. The size of the storage required to mitigate the overloads is determined from time series power flow analysis. For allocation and scheduling of this storage, the problem is cast as an optimization with minimum active power loss as the objective. As a validation, the obtained storage is implemented in OpenDSS time series simulation to verify that the overloads are eliminated. Further, the impacts of increasing solar photovoltaic (PV) penetration and load growth on the storage size, allocation and schedule are shown to affect the required storage significantly.

Original languageEnglish (US)
Title of host publication2020 52nd North American Power Symposium, NAPS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728181929
DOIs
StatePublished - Apr 11 2021
Event52nd North American Power Symposium, NAPS 2020 - Tempe, United States
Duration: Apr 11 2021Apr 13 2021

Publication series

Name2020 52nd North American Power Symposium, NAPS 2020

Conference

Conference52nd North American Power Symposium, NAPS 2020
Country/TerritoryUnited States
CityTempe
Period4/11/214/13/21

Keywords

  • distributed power generation
  • Energy storage
  • high penetration PV
  • power distribution
  • power system planning

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Hardware and Architecture
  • Computer Networks and Communications

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