A Critical Review of Current and Future Options for Wind Farm Participation in Ancillary Service Provision

Matthew Cole (), David Campos-Gaona, Adam Stock and Marcel Nedd
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Matthew Cole: Wind Energy and Control Centre, Department of Electronic and Electrical Engineering, University of Strathclyde, Royal College Building, 204 George St, Glasgow G1 1XW, UK
David Campos-Gaona: Wind Energy and Control Centre, Department of Electronic and Electrical Engineering, University of Strathclyde, Royal College Building, 204 George St, Glasgow G1 1XW, UK
Adam Stock: Wind Energy and Control Centre, Department of Electronic and Electrical Engineering, University of Strathclyde, Royal College Building, 204 George St, Glasgow G1 1XW, UK
Marcel Nedd: Wind Energy and Control Centre, Department of Electronic and Electrical Engineering, University of Strathclyde, Royal College Building, 204 George St, Glasgow G1 1XW, UK

Energies, 2023, vol. 16, issue 3, 1-18

Abstract: This paper presents a critical review, from a wind farm control perspective, of different methodologies in the open literature that enable wind farms to participate in ancillary service provision. Firstly, it considers the services currently provided in power systems with high levels of wind generation (specifically, Denmark, Ireland, and Great Britain), reviewing current regulatory frameworks and recommendations. Secondly, it reviews the ancillary service markets that wind farms do not currently participate in, considering the barriers to entry and discussing potential solutions using a proper control-enabled framework. Thirdly, it also considers the future perspective for wind farm participation in ancillary service provision, including a review of the body of published academic research on wind farm participation in ancillary service provision. Finally, this review concludes by suggesting where the gaps are in the academic literature, and subsequently suggests future work. Two examples are the disconnect between the mechanical and farm side approaches with power-system-based modelling, and how much wind farm modelling is very-low-fidelity-omittedkey aspects such as wake effects and component fatigue analysis.

Keywords: wind power; wind farm control; ancillary services; droop control; virtual synchronous machines (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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