Sizing of Battery Energy Storage for Wind Integration: Considering Frequency Regulation and Peak Load Shaving

  • Yan Cheng
  • , Peng Yu
  • , Shumin Sun
  • , Nan Wang
  • , Yuanhang Zhang
  • , Peng Kou

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

3 Scopus citations

Abstract

The development of modern power system is accompanied by many problems. The growing proportion of wind generation in power grid gives rise to frequency instability problem. The increasing load demand in power grid worsens the load peak-to-valley difference problem. Battery Energy Storage System (BESS) has the capability of frequency regulation and peak load shaving, but its high economic costs need to be taken into consideration. To address this issue, this paper proposes a sizing strategy for BESS with wind integration under the condition of frequency regulation and peak load shaving. In the case of eliminating frequency deviations, the sizing of BESS is decided by the approximated Laplace distribution based on wind power prediction errors. As for peak load shaving, the load interval control method is used for the sizing of BESS. Simulation results demonstrate the effectiveness of the proposed scheme.

Original languageEnglish
Title of host publication2022 5th International Conference on Energy, Electrical and Power Engineering, CEEPE 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages205-209
Number of pages5
ISBN (Electronic)9781665479059
DOIs
StatePublished - 2022
Event5th International Conference on Energy, Electrical and Power Engineering, CEEPE 2022 - Chongqing, China
Duration: 22 Apr 202224 Apr 2022

Publication series

Name2022 5th International Conference on Energy, Electrical and Power Engineering, CEEPE 2022

Conference

Conference5th International Conference on Energy, Electrical and Power Engineering, CEEPE 2022
Country/TerritoryChina
CityChongqing
Period22/04/2224/04/22

Keywords

  • Battery Energy Storage System (BESS)
  • frequency regulation
  • peak load shaving
  • wind power generation

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