SYSTEMS AND METHODS OF COORDINATED YAW CONTROL OF MULTIPLE WIND TURBINES

Patent №

US 11,639,710

Granted

2023-05-02

Filed 2022

Owner

WINDESCO, INC.

Lab

AI components

1

planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

17847701

Systems and methods of autonomous farm-level control and optimization of wind turbines are provided. Exemplary embodiments comprise a site controller running on a site server. The site controller collects and analyzes yaw control data of a plurality of wind turbines and wind direction data relating to the plurality of wind turbines. The site server determines collective wind direction across an area occupied by the plurality of wind turbines and sends yaw control signals including desired nacelle yaw position instructions to the plurality of wind turbines. The site controller performs wake modeling analysis and determines desired nacelle positions of one or more of the plurality of wind turbines. The desired nacelle yaw position instructions systematically correct static yaw misalignment for all of the plurality of wind turbines. Embodiments of the disclosure provide means to perform whole site or partial site level controls of the yaw controllers of a utility scale wind turbine farm. The overall effect of the coordinated yaw control of wind turbines across the whole or partial site is intended to keep the wake loss of the wind turbines from the upstream wind turbines to the minimum and to maximize the production of turbines that are not waking other turbines.

PlanningF03D 7/0204F03D 7/048F03D 7/049F03D 17/00F05B 2270/204F05B 2270/32F05B 2270/321F05B 2270/329+2 more

AI classification

Planning0.99
Knowledge representation0.00
Natural language0.00
Machine learning0.00
AI hardware0.00
Evolutionary computation0.00
Speech0.00
Vision0.00

Ownership

WINDESCO, INC.

assignment · 611230855

Assignors

POST, NATHAN L., ZHENG, DANIAN, BACHANT, PETER

On an employer assignment, the assignors are typically the inventors.

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