A Planning Model for Optimal Capacity and Location of Energy Storage for Grid Inertial Support in Presence of Renewable Energy

Adnan S. Al-Bukhaytan*, Mohamed A. Abido

*Corresponding author for this work

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

1 Scopus citations

Abstract

Due to the concerns over the environment and the limitations of natural resources, the penetration of renewable energy resources (RESs) is expected to increase dramatically in the upcoming years. Although the advantages of RESs are favorable to the environment, RESs have low or no rotational kinetic energy, which results in minimizing the total inertial of the power grid. As a consequence, the grid's stability is decreased, causing the frequency to fluctuate in response to a small change in load or any disturbance. Hence, in this work, the energy storage system (ESS) is utilized to mitigate this stability issue of high penetration of RESs, as the ESS can provide virtual inertia to the grid due to its fast response. The main motivation is to find the optimal capacity and location of ESS to maintain the stability and minimum inertia requirements of the grid at the optimal minimum cost. Moreover, the power grid constraints are also considered to maintain the voltage, angle, and line capacity limits. The developed model is evaluated and tested on the NEW England IEEE 39-bus system, and the obtained results are discussed and analyzed.

Original languageEnglish
Title of host publication2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665471640
DOIs
StatePublished - 2023
Event2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023 - Wollongong, Australia
Duration: 3 Dec 20236 Dec 2023

Publication series

Name2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

Conference

Conference2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023
Country/TerritoryAustralia
CityWollongong
Period3/12/236/12/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • Distribution network
  • Energy Storage
  • Low Inertia
  • Renewable resources
  • Stability

ASJC Scopus subject areas

  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Safety, Risk, Reliability and Quality

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