Systems, methods, and non-transitory computer readable media including instructions for coordinating MPPT operations for a cluster of geographically-associated fluid turbines are disclosed. Coordinating MPPT operations for a cluster of geographically-associated fluid turbines includes receiving data from the cluster of geographically-associated fluid turbines; determining changes to total power output of the cluster based on changes in loading states of individual fluid turbines in the cluster; selecting a combination of loading states for the individual fluid turbines in the cluster to coordinate total power output for the cluster; and transmitting the selected combination of loading states to at least some of the individual fluid turbines in the cluster in order to vary rotational speeds of the at least some of the individual fluid turbines in the cluster.

Systems, methods, and non-transitory computer readable media including instructions for synchronizing a plurality of geographically-associated fluid turbines. Synchronizing a plurality of geographically-associated fluid turbines includes receiving first signals indicative of a phase of a rotational cycle of first rotating blades of a first turbine configured to generate a downstream fluid flow; receiving second signals indicative of a phase of a rotational cycle of second rotating blades of a second turbine configured to receive at least a portion of the downstream fluid flow and generate a differential power output; determining from the first and second signals that greater aggregate power output is achievable through blade phase coordination; determining a phase correction between the first and second rotating blades based on the first and second signals to achieve the greater aggregate power output; calculating coordinating signals based on the phase correction; and outputting the coordinating signals to impose the phase correction.

A control system for positioning at least two floating wind turbines in a wind farm is provided. The control system includes a measuring device configured for measuring an incoming wind field at the two wind turbines, a determining device, wherein the determining device is configured for determining a wake property at the two wind turbines, wherein the determining device is configured for determining a propagation path of the wake property through the wind farm based on the determined wake property at the at least two floating wind turbines, wherein the determining device is configured for determining a location for each of the at least two floating wind turbines including a minimized wake influence based on the determined propagation path of the wake property through the wind farm, and a repositioning device configured for repositioning each of the at least two floating wind turbines to the determined location.

A method and a system for controlling a wind turbine based on sectors. Original sectors of the wind turbine are reconstructed based on a wind resource parameter and a wake-flow effect. A load is calculated and superposed for a new sector obtained from the sector reconstruction. An optimization algorithm is applied, under a condition that a constraint condition of a fatigue load is met, to find an operation parameter for maximum power generation amount of the wind turbine.

Wind turbine farms are presented including: a number of steerable wind turbines, where each of the number of steerable wind turbines includes a turbine diameter, where each of the number of steerable wind turbines are steerable about a vertical axis, where each of the number of steerable wind turbines includes a wake centerline, where the number of steerable wind turbines is grouped, where each group is defined by at least two steerable wind turbines, where each of the number of steerable wind turbines is positioned in a fixed position such that wake centerlines are separated by approximately 0.5 and 6.0 turbine diameters.

Disclosed herein are methods, systems, and devices for utilizing distributed reinforcement learning and consensus control to most effectively generate and utilize energy. In some embodiments, individual turbines within a wind farm may communicate to reach a consensus as to the desired yaw angle based on the wind conditions.

A method for optimizing power production of a wind turbine includes determining at least one operational constraint for the wind turbine. The method also includes operating the wind turbine with at least one operational constraint being activated. Further, the method includes varying a tip speed ratio for the wind turbine while the at least one operational constraint is activated so as to maximize a power coefficient of the wind turbine.

A method for determining an available power of a wind farm, wherein the wind farm comprises a plurality of wind power installations with a rotor having rotor blades, the blade angle of which can be adjusted is provided. A wind farm which is set up to carry out the method for determining an available power is provided. The method comprises providing a shading matrix which determines at least one effective wind speed of each of the wind power installations in the wind farm as a function of at least one wind speed and wind direction and wind farm throttling using a park wake model. The method makes it possible to accurately determine an available power of a wind farm even when the wind farm is operated with throttled power.

A method for optimizing wake management in a wind farm includes receiving, via one or more position localization sensors, position data from at least one nacelle of wind turbines in the wind farm. The method also includes determining angle of the nacelle(s) of the wind turbines with respect to true north based on the position data. Moreover, the method includes determining a wind direction at the nacelle(s) of the wind turbines. As such, the method includes generating a wake estimation model of the wind farm in real-time using the wind direction and the angle of the nacelle(s). In addition, the method includes running the wake estimation model to determine one or more optimal operating parameters for the wind turbines that maximize energy production of the wind turbine. Thus, the method includes operating the wind farm using the optimal operating parameter(s) so as to optimize wake management of the wind farm.

A method for determining a yaw position offset of a wind turbine is provided. A neighbouring wind turbine of the wind farm is identified, said neighbouring wind turbine being arranged in the vicinity of the wind turbine. Produced power data and/or wind speed data from the wind turbine and from the neighbouring wind turbine, is obtained during a period of time, and a yaw position offset of the wind turbine is derived, based on the obtained produced power data and/or wind speed data, and based on the geographical positions of the wind turbine and the neighbouring wind turbine. A local maximum and a local minimum being separated by an angular difference in yaw position being substantially equal to 180°.