Systems and methods for optimizing operation of a wind farm

A method for operating a wind farm, comprising:

• receiving historical values corresponding to at least some historic wake parameters for wind turbines in the wind farm;
• identifying reference sets of interacting wind turbines from the wind turbines based on the historical values;
• assembling historical wake models for the reference sets of interacting wind turbines in the wind farm based on historical values of selected combinations of wake parameters corresponding to the sets of interacting wind turbines;
• determining optimal control settings for each wind turbine in the sets of interacting wind turbines for each of the selected combinations of wake parameters based on the historical wake models;
• storing the optimal control settings for each wind turbine as a function of the selected combination of wake parameters;
• receiving new values of the wake parameters acquired over a subsequent period of time following acquisition of the historical values;
• determining the control settings for the wind turbines in each of a new sets of wind turbines using the new values and the stored control settings;
• and
• controlling the wind turbines in each of the new sets of wind turbines based on the determined control settings.

A system for optimizing operation of a wind farm, comprising:

• a plurality of wind turbines;
• one or more monitoring devices configured to measure values of a plurality of wake parameters for one or more of the plurality of wind turbines;
• and
• a farm control subsystem operatively coupled to at least the monitoring devices and programmed to:
• receive historical values corresponding to at least some historic wake parameters for the wind turbines in the wind farm;
• identify reference sets of interacting wind turbines from the wind turbines based on the historical values;
• determine one or more historical wake models for the reference sets of interacting wind turbines based on the historical values;
• receive new values corresponding to at least some new wake parameters for wind turbines in the wind farm;
• identify new sets of interacting wind turbines from the plurality of wind turbines based on the new values;
• develop a farm-level predictive wake model for the new sets of interacting wind turbines based on the new values and the historical wake models;
• adjust one or more control settings for at least the new sets of interacting wind turbines based on the farm-level predictive wake model;
• and
• control the new sets of interacting wind turbines based on the adjusted one or more control settings.