Coordination Control Strategy of MTDC Connected Offshore Wind Farms Based on Model Predictive Control

This paper proposes a coordination control strategy (CCS) for voltage source converter (VSC) multi-terminal direct current (MTDC) connected offshore wind farms (WFs) based on model predictive control (MPC). Firstly, to optimize active and reactive power control of WFs, an MPC-based wind turbine (WT) control strategy is designed for fatigue load suppressing and keeping WTs voltage range. Secondly, to optimize the voltage of VSCs, an MPC-based adaptive droop control (ADC) of VSCs is proposed for tracking the WFs power of WF side VSCs (WFVSCs), reducing DC network power loss or achieving power sharing of grid side VSCs (GSVSCs). To formulate MPC optimization problem, the higher-order term with respect to droop coefficient is reduced order and stability of the ADC method is analyzed analysis. Finally, the combined whole system model including multiple WFs, WFVSCs and GSVSCs is used to realize multi-objective optimization. A test system consisted of 3 WFs with 100×5 MW WTs, 3 WFVSCs and 2 GSVSCs was used to verify the proposed combined control scheme in MATLAB/Simulink

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Publication Details

Journal
IEEE Transactions on Sustainable Energy
Published
2025-09-25
DOI
https://doi.org/10.1109/tste.2025.3614678
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
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article

Coordination Control Strategy of MTDC Connected Offshore Wind Farms Based on Model Predictive Control

Jiani Mao, Luobin Wang, Guan Bai, Mingcheng Lyu et al.
IEEE Transactions on Sustainable Energy
Power Systems and Renewable Energy
article

Coordination Control Strategy of MTDC Connected Offshore Wind Farms Based on Model Predictive Control

Jiani Mao, Luobin Wang, Guan Bai, Mingcheng Lyu, Sheng Huang
article en

Abstract

This paper proposes a coordination control strategy (CCS) for voltage source converter (VSC) multi-terminal direct current (MTDC) connected offshore wind farms (WFs) based on model predictive control (MPC). Firstly, to optimize active and reactive power control of WFs, an MPC-based wind turbine (WT) control strategy is designed for fatigue load suppressing and keeping WTs voltage range. Secondly, to optimize the voltage of VSCs, an MPC-based adaptive droop control (ADC) of VSCs is proposed for tracking the WFs power of WF side VSCs (WFVSCs), reducing DC network power loss or achieving power sharing of grid side VSCs (GSVSCs). To formulate MPC optimization problem, the higher-order term with respect to droop coefficient is reduced order and stability of the ADC method is analyzed analysis. Finally, the combined whole system model including multiple WFs, WFVSCs and GSVSCs is used to realize multi-objective optimization. A test system consisted of 3 WFs with 100×5 MW WTs, 3 WFVSCs and 2 GSVSCs was used to verify the proposed combined control scheme in MATLAB/Simulink

IEEE Transactions on Sustainable EnergyVol. 17(2)
Bay Institute (US), Guangzhou University (CN), Guangzhou Maritime College (CN)
Openalex Percentile: Top 71%
Power Systems and Renewable Energy
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Coordination Control Strategy of MTDC Connected Offshore Wind Farms Based on Model Predictive Control — Jiani Mao, Luobin Wang, et al. · IEEE Transactions on Sustainable Energy (2025) | TGRS Research Map | TGRS