4.8 Article

Distributed Cooperative Control of Offshore Wind Farms Integrated via MTDC System for Fast Frequency Support

Journal

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
Volume 70, Issue 5, Pages 4693-4704

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIE.2022.3183355

Keywords

Frequency control; Rotors; Wind farms; Frequency estimation; Indexes; Voltage control; Delay effects; Consensus; distributed cooperative control (DCC); frequency support; offshore wind farm (OWF); second frequency drop (SFD); VSC-multiterminal direct current (MTDC)

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This article proposes a distributed cooperative control (DCC) scheme for offshore wind farms integrated via a multiterminal direct current system, aiming to provide fast frequency support. The DCC scheme utilizes a consensus algorithm to distribute the frequency support burden among offshore wind turbines (WTs) effectively. It ensures adequate utilization of the kinetic energy of all WTs and enhances security through the use of consensus state index and adaptive change of droop control coefficients. The article also introduces an asymptotic recovery scheme to restore smooth rotor speed after frequency support, with other WTs following the leader for recovery and reduction of the second frequency drop. Moreover, a communication-free estimator is employed to estimate the onshore dc voltage using offshore local measured signals for fast frequency support. Case studies are conducted on MATLAB and OPAL-RT real-time simulation platforms to assess the performance of the proposed DCC scheme considering parameter uncertainty and noise disturbance.
This article proposes a distributed cooperative control (DCC) scheme of offshore wind farms integrated via the multiterminal direct current system for fast frequency support. The DCC scheme employs the consensus algorithm to share the frequency support burden among offshore wind turbines (WTs) suitably. The proposed DCC scheme can exploit the kinetic energy of all WTs adequately, while ensuring the security by employing the consensus state index and changing droop control coefficients adaptively. After the frequency support, the asymptotic recovery scheme is proposed at the leader WT for smooth rotor speed restorage, and other WTs will follow the leader to recover and reduce the second frequency drop. Besides, to realize the fast frequency support, the communication-free estimator is employed to estimate the onshore dc voltage using offshore local measured signals. Case studies are carried out on MATLAB and OPAL-RT real-time simulation platforms, respectively. Different control schemes are compared to elaborate the performance of the proposed DCC scheme considering the parameter uncertainty and noise disturbance.

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