Journal
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
Volume 17, Issue 12, Pages 8165-8176Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TII.2021.3065375
Keywords
Voltage control; Reactive power; Voltage measurement; Delays; Microgrids; Informatics; Decentralized control; Alternating direction method of multipliers (ADMM); droop curve; model predictive control (MPC); voltage control; wind farm (WF)
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An adaptive droop-based hierarchical optimal voltage control scheme is proposed for offshore wind farms connected to VSC-HVdc, aiming to minimize voltage deviations and mitigate reactive power fluctuations through coordination between wind turbines and VSC. Model predictive control and a hierarchical solution method are utilized to improve system performance and reduce computational burden. Coordination during the predictive horizon allows for near global optimal performance without global information.
An adaptive droop-based hierarchical optimal voltage control (DHOVC) scheme is proposed for voltage-source converter high-voltage-direct-current (VSC-HVdc) connected offshore wind farms (WFs). The wind turbines (WTs) and WF side VSC (WFVSC) are coordinated to minimize the voltage deviations of buses inside the WF from the nominal voltage and mitigate reactive power (Var) fluctuations of WTs. The model predictive control is used to improve the performance of the DHOVC scheme during a certain predictive horizon. A hierarchical solution method based on the alternating direction method of multipliers is developed to reduce the calculation burden of the central controller while improving the information privacy protection. During the predictive horizon, the WTs and WFVSC are coordinated to achieve the near global optimal performance without global information. A WF with 32 x 5MW WTs was used in the MATLAB/Simulink to test the proposed DHOVC scheme.
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