This study presents a bi-level decentralised activepowercontrol (DAPC) for a large-scale wind farm cluster (WFC), consisting of several wind farms for better activepower dispatch. In the upper level, a distributed ...
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This study presents a bi-level decentralised activepowercontrol (DAPC) for a large-scale wind farm cluster (WFC), consisting of several wind farms for better activepower dispatch. In the upper level, a distributed active power control scheme based on the distributed consensus is designed to achieve fair activepower sharing among multiple wind farms, which generates the power reference for each wind farm. A distributed estimator is used to estimate the total available power of all wind farms. In the lower level, a centralised controlscheme based on the model predictive control is proposed to regulate activepower outputs of all wind turbines (WTs) within a wind farm, which reduces the fatigue loads of WTs while tracking the power reference obtained from the upper-level control. A WFC with 8 wind farms and totally 160 WTs, was used to test the control performance of the proposed DAPC scheme.
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