Mathematical Models for Optimization of Grid-Integrated Energy Storage Systems: A Review

Chiebuka Eyisi, Ameena Saad Al-Sumaiti, Konstantin Turitsyn, Qifeng Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

15 Scopus citations

Abstract

Energy storage has been proven to yield positive effects on planning, operation and control of electric grids. It has become a crucial task to properly model the energy storage systems (ESS) under the framework of grid optimization on transmission and distribution networks including microgrids. This paper presents a review on mathematical models and test cases of ESSs used for grid optimization studies, where the network constraints of power systems are included. The existing ESS models are mainly classified into two categories-linear and nonlinear models. The two main categories are further divided into several subcategories respectively; such as mixed-integer linear and convex nonlinear sub-categories. Based on the review and discussions, this paper aims at providing suggestions for choosing proper ESS models for specific grid optimization studies considering the chosen power network model.

Original languageBritish English
Title of host publication51st North American Power Symposium, NAPS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728104072
DOIs
StatePublished - Oct 2019
Event51st North American Power Symposium, NAPS 2019 - Wichita, United States
Duration: 13 Oct 201915 Oct 2019

Publication series

Name51st North American Power Symposium, NAPS 2019

Conference

Conference51st North American Power Symposium, NAPS 2019
Country/TerritoryUnited States
CityWichita
Period13/10/1915/10/19

Keywords

  • Energy storage
  • modeling power grids
  • optimization

Fingerprint

Dive into the research topics of 'Mathematical Models for Optimization of Grid-Integrated Energy Storage Systems: A Review'. Together they form a unique fingerprint.

Cite this