SYSTEM AND METHOD FOR ASSESSING FARM-LEVEL PERFORMANCE OF A WIND FARM

The present disclosure is directed to a system and method for assessing farm-level performance of a wind farm 200. The method includes operating the wind farm 200 in a first operational mode and identifying one or more pairs 104 of wind turbines 202s having wake interaction. The method also includes...

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Bibliographische Detailangaben
Hauptverfasser:	AMBEKAR, Akshay, WILSON, Megan, KERN, Stefan, CHANDRASHEKAR, Siddhanth
Format:	Patent
Sprache:	eng ; fre ; ger
Schlagworte:	BLASTING CONTROL OR REGULATING SYSTEMS IN GENERAL CONTROLLING FUNCTIONAL ELEMENTS OF SUCH SYSTEMS GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS HEATING INDEXING SCHEME RELATING TO MACHINES OR ENGINES OTHER THANNON-POSITIVE-DISPLACEMENT MACHINES OR ENGINES, TO WIND MOTORS,TO NON-POSITIVE DISPLACEMENT PUMPS, AND TO GENERATING COMBUSTIONPRODUCTS OF HIGH PRESSURE OR HIGH VELOCITY INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUSSUBCLASSES OF CLASSES F01-F04 LIGHTING MACHINES OR ENGINES FOR LIQUIDS MECHANICAL ENGINEERING MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR PHYSICS PRODUCING MECHANICAL POWER REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGYGENERATION, TRANSMISSION OR DISTRIBUTION REGULATING TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINSTCLIMATE CHANGE WEAPONS WIND MOTORS WIND, SPRING WEIGHT AND MISCELLANEOUS MOTORS
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Beschreibung
Zusammenfassung:	The present disclosure is directed to a system and method for assessing farm-level performance of a wind farm 200. The method includes operating the wind farm 200 in a first operational mode and identifying one or more pairs 104 of wind turbines 202s having wake interaction. The method also includes generating a pairwise dataset for the wind turbines 202 pairs 104. Further, the method includes generating a first wake model 110 based on the pairwise dataset and predicting a first farm-level performance parameter 114 based on the first wake model 110. The method also includes operating the wind farm 200 in a second operational mode and collecting operational data during the second operational mode. Moreover, the method includes predicting a first farm-level performance parameter 114 for the second operational mode using the first wake model 110 and the operational data from the second operational mode. The method further includes determining a second farm-level performance parameter 116 during the second operational mode. Thus, the method includes determining a difference in the farm-level performance of the wind farm 200 as a function of the first and second farm-level performance parameters 114, 116.