Inertial frequency response provided by battery energy storage systems: Probabilistic assessment

F. Gonzalez-Longatt, S. Alhejaj, A. Bonfiglio, R. Procopio, J.L. Rueda Torres

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

8 Citations (Scopus)

Abstract

This paper proposes a methodology for assessment to measure the impact of the inertial frequency response provided by battery energy storage systems (BESS) considering power system uncertainties. The proposed methodology is used to assess the impact of the BESS equipped with sensible frequency controller on the frequency behaviour of the system after a system frequency disturbance considering the variability coming from power system uncertainties. The proposed meteorology is tested in an illustrative power system considering the integration of a grid-scale BESS equipped with inertial frequency response controller, the uncertainty of the power system is simulated by the variability of the power demand. Monte Carlo simulations and time-domain simulations, using DIgSILENT® PowerFactory™ are combined in the implementation of the proposed methodology. Simulation results demonstrate the suitability of the proposed approach to obtain probabilistic distribution functions (PDF) of the main system frequency response.
Original languageEnglish
Title of host publicationProceedings of the 6th International Conference on Clean Electrical Power, ICCEP 2017
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages403-409
Number of pages7
ISBN (Electronic)978-1-5090-4682-9
DOIs
Publication statusPublished - Jun 2017
EventICCEP 2017: 6th International Conference on Clean Electrical Power - Renewable Energy Resources Impact - Santa Margherita Ligure, Liguria, Italy
Duration: 27 Jun 201729 Jun 2017
Conference number: 6

Conference

ConferenceICCEP 2017
Country/TerritoryItaly
CityLiguria
Period27/06/1729/06/17

Keywords

  • Battery energy storage system
  • frequency response
  • Monte-Carlo Simulation
  • Probabilistic assessment

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