Primary Frequency Support from Offshore Wind Power Plants Connected to HVDC Grids

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedings – Annual report year: 2019Researchpeer-review

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Contribution to the power systems’ frequency support is expected to be one of the essential ancillary services that wind power plants (WPPs) shall provide. The high-voltage DC (HVDC) connected offshore WPPs may provide this service with and without using fast communication links between onshore and offshore. In the case of offshore HVDC grid, implementing the communication-less frequency support is challenging. Although it increases the reliability of the frequency control, among other challenges, it is not straightforward to comply with relevant grid code requirements. In this paper, this issue is mathematically described and a static model is developed to calculate the deviation of various electrical parameters of an HVDC grid in case of frequency drop on the land ac systems. A solution for the aforementioned problem is presented and its associated concerns are addressed. The study is verified by simulations of a four terminals dc grid with two offshore WPPs and two inland ac systems.
Original languageEnglish
Title of host publicationProceedings of the 2019 IEEE Milan PowerTech
Number of pages6
PublisherIEEE
Publication date2019
Pages1-6
ISBN (Print)978-1-5386-4723-3
ISBN (Electronic)978-1-5386-4722-6
DOIs
Publication statusPublished - 2019
Event13th IEEE PowerTech Milano 2019: Leading innovation for energy transition - Bovisa Campus of Politecnico di Milano, Milano, Italy
Duration: 23 Jun 201927 Jun 2019
Conference number: 13
http://ieee-powertech.org/

Conference

Conference13th IEEE PowerTech Milano 2019
Number13
LocationBovisa Campus of Politecnico di Milano
CountryItaly
CityMilano
Period23/06/201927/06/2019
OtherPowerTech is the anchor conference of the IEEE Power & Energy Society (PES) in Europe
Internet address
SeriesProceedings of the IEEE
ISSN0018-9219
CitationsWeb of Science® Times Cited: No match on DOI

    Research areas

  • Droop control, frequency support, HVDC, offshore wind

ID: 191324431