MPC Based Ramp-Rate Control Strategy with Battery Energy Storage Systems for Wind Farms

Marlon A. Capuno, Jung Su Kim, Hwachang Song

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

1 Scopus citations

Abstract

This paper tackles the problem of short-term wind fluctuation with the imposition of strict ramp rate limits. A control strategy is proposed to reduce the output ramp-rate of a wind farm to a required level using model predictive control (MPC). The system consists of a wind farm coupled with a battery energy storage system (BESS) with the sole function of ramp-rate control (RRC) that optimizes the wind power output as well as the BESS output energy while observing the physical constraints. A variation of up to 10% of the maximum plant capacity per minute is observed in the implementation of RRC as required the grid code for the acceptable penetration of wind farms into the power system.

Original languageEnglish
Title of host publication2018 International Conference on Platform Technology and Service, PlatCon 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538647103
DOIs
StatePublished - 25 Sep 2018
Event2018 International Conference on Platform Technology and Service, PlatCon 2018 - Jeju, Korea, Republic of
Duration: 29 Jan 201831 Jan 2018

Publication series

Name2018 International Conference on Platform Technology and Service, PlatCon 2018

Conference

Conference2018 International Conference on Platform Technology and Service, PlatCon 2018
Country/TerritoryKorea, Republic of
CityJeju
Period29/01/1831/01/18

Keywords

  • BESS
  • MPC
  • ramp rate control
  • wind farms

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