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Analysis and tuning methodology of FAPI controllers for maximising the share of grid-connected wind generations

Journal Article (2020)
Author(s)

E. Rakhshani (TU Delft - Intelligent Electrical Power Grids)

A.D. Perilla Guerra (TU Delft - Intelligent Electrical Power Grids)

Nidarshan Veerakumar (TU Delft - Intelligent Electrical Power Grids)

Zameer Ahmad (TU Delft - Photovoltaic Materials and Devices)

José Luis Rueda Rueda (TU Delft - Intelligent Electrical Power Grids)

MAMM van der Meijden (TenneT TSO B.V., TU Delft - Intelligent Electrical Power Grids)

Peter Palensky (TU Delft - Intelligent Electrical Power Grids)

Research Group
Photovoltaic Materials and Devices
Copyright
© 2020 E. Rakhshani, A.D. Perilla Guerra, Nidarshan Veerakumar, Z. Ahmad, José L. Rueda, M.A.M.M. van der Meijden, P. Palensky
More Info
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Publication Year
2020
Language
English
Copyright
© 2020 E. Rakhshani, A.D. Perilla Guerra, Nidarshan Veerakumar, Z. Ahmad, José L. Rueda, M.A.M.M. van der Meijden, P. Palensky
Research Group
Photovoltaic Materials and Devices
Issue number
18
Volume number
14
Pages (from-to)
3816-3823
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Abstract

In this study, a novel methodology is proposed for sensitivity-based tuning and analysis of derivative-based fast active power injection (FAPI) controllers in type-4 wind turbine units integrated into a low-inertia power system. The FAPI controller is attached to a power electronic interfaced generation (PEIG) represented by a generic model of wind turbines type 4. It consists of a combination of droop and derivative controllers, which is dependent on the measurement of the frequency. The tuning methodology performs parametric sensitivity to search for the most suitable set of parameters of the attached FAPI that minimises the maximum frequency deviation in the containment period. The FAPI is adjusted to safeguard system stability when increasing the share of PEIG. Since the input signal of the FAPI is the measured frequency, the impact of different values and parameter settings of the phase-locked loop used for the FAPI controller is also investigated. Detailed validation with a full-scaled wind power converter is also provided with a real-time digital simulator testbed. Obtained simulation results using a three-area test system, identify the maximum achievable degree of increase in the share of wind power when a proper combination of wind park locations considering their suggested settings for inertia emulation.