Novel metrics to quantify the impacts of frequency support provision methods by wind power

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Abstract

This paper introduces two novel metrics to judge the capability and influence of wind power to provide virtual inertia response (i.e. frequency support). The first metric considers the generation unit (i.e. wind turbine generator (WTG)/wind farm (WF) vs. synchronous generator). This metric is applied to compare between three different methods of provision of frequency support. The second metric assess the improvement or hindering in frequency response at the point of common coupling (PCC) between a WF and a synchronous area. This metric is critical especially to WFs that are connected via High Voltage Direct Current (HVDC) or Low-frequency AC links. Both metrics are universal so that they could be applied to any support method, and any power system. The first metric is applied to assess the virtual inertia response of an offshore WF, which is considered as a power plant along with the HVDC transmission link. Results assure the positive impact of the provision of frequency support by wind power. This impact is quantified could be used to tune frequency support controllers, and optimize system planning. It is verified that no obstacles are implied by the HVDC link to integrating frequency support methods, as the WF dominates the support process
LanguageEnglish
Title of host publicationIEEE Innovative Smart Grid Technologies Europe 2016
Place of PublicationPiscataway
PublisherIEEE
Pages6
ISBN (Print)9781509033584
Publication statusAccepted/In press - 27 Jun 2016
EventIEEE PES Innovative Smart Grid Technologies, Europe - Cankarjev dom – Congress Centre Ljubljana, Ljubljana, Slovenia
Duration: 9 Oct 201612 Oct 2016
http://sites.ieee.org/isgt-europe-2016/

Conference

ConferenceIEEE PES Innovative Smart Grid Technologies, Europe
Abbreviated titleIEEE ISGT 2016
CountrySlovenia
CityLjubljana
Period9/10/1612/10/16
Internet address

Fingerprint

Wind power
Frequency response
Electric potential
Offshore wind farms
Synchronous generators
Turbogenerators
Wind turbines
Power plants
Planning
Controllers

Keywords

  • wind power
  • power systems
  • ancillary services
  • virtual inertia
  • HVDC
  • energy storage

Cite this

Attya, A., Anaya-Lara, O., & Leithead, W. (Accepted/In press). Novel metrics to quantify the impacts of frequency support provision methods by wind power. In IEEE Innovative Smart Grid Technologies Europe 2016 (pp. 6). Piscataway: IEEE.
Attya, Ayman ; Anaya-Lara, Olimpo ; Leithead, William. / Novel metrics to quantify the impacts of frequency support provision methods by wind power. IEEE Innovative Smart Grid Technologies Europe 2016. Piscataway : IEEE, 2016. pp. 6
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abstract = "This paper introduces two novel metrics to judge the capability and influence of wind power to provide virtual inertia response (i.e. frequency support). The first metric considers the generation unit (i.e. wind turbine generator (WTG)/wind farm (WF) vs. synchronous generator). This metric is applied to compare between three different methods of provision of frequency support. The second metric assess the improvement or hindering in frequency response at the point of common coupling (PCC) between a WF and a synchronous area. This metric is critical especially to WFs that are connected via High Voltage Direct Current (HVDC) or Low-frequency AC links. Both metrics are universal so that they could be applied to any support method, and any power system. The first metric is applied to assess the virtual inertia response of an offshore WF, which is considered as a power plant along with the HVDC transmission link. Results assure the positive impact of the provision of frequency support by wind power. This impact is quantified could be used to tune frequency support controllers, and optimize system planning. It is verified that no obstacles are implied by the HVDC link to integrating frequency support methods, as the WF dominates the support process",
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Attya, A, Anaya-Lara, O & Leithead, W 2016, Novel metrics to quantify the impacts of frequency support provision methods by wind power. in IEEE Innovative Smart Grid Technologies Europe 2016. IEEE, Piscataway, pp. 6, IEEE PES Innovative Smart Grid Technologies, Europe, Ljubljana, Slovenia, 9/10/16.

Novel metrics to quantify the impacts of frequency support provision methods by wind power. / Attya, Ayman; Anaya-Lara, Olimpo; Leithead, William.

IEEE Innovative Smart Grid Technologies Europe 2016. Piscataway : IEEE, 2016. p. 6.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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PY - 2016/6/27

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N2 - This paper introduces two novel metrics to judge the capability and influence of wind power to provide virtual inertia response (i.e. frequency support). The first metric considers the generation unit (i.e. wind turbine generator (WTG)/wind farm (WF) vs. synchronous generator). This metric is applied to compare between three different methods of provision of frequency support. The second metric assess the improvement or hindering in frequency response at the point of common coupling (PCC) between a WF and a synchronous area. This metric is critical especially to WFs that are connected via High Voltage Direct Current (HVDC) or Low-frequency AC links. Both metrics are universal so that they could be applied to any support method, and any power system. The first metric is applied to assess the virtual inertia response of an offshore WF, which is considered as a power plant along with the HVDC transmission link. Results assure the positive impact of the provision of frequency support by wind power. This impact is quantified could be used to tune frequency support controllers, and optimize system planning. It is verified that no obstacles are implied by the HVDC link to integrating frequency support methods, as the WF dominates the support process

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Attya A, Anaya-Lara O, Leithead W. Novel metrics to quantify the impacts of frequency support provision methods by wind power. In IEEE Innovative Smart Grid Technologies Europe 2016. Piscataway: IEEE. 2016. p. 6