Methods and systems for optimizing operation of a wind farm are disclosed. The method includes providing a farm-level wake model for the wind farm based on historical wake parameters corresponding to reference sets of interacting wind turbines in the wind farm. Another step includes monitoring one or more real-time wake parameters for wind turbines in the wind farm. A further step includes identifying at least two interacting wind turbines from the reference sets based on the wake parameters. Another step includes determining a wake offset angle between the interacting wind turbines as a function of at least one of a wind direction, a geometry between the interacting wind turbines, or a wake meandering component. The method also includes continuously updating the wake model online based at least partially on the wake parameters and the wake offset angle and controlling the interacting wind turbines based on the updated wake model.

Systems and methods for optimizing operation of a wind farm

Expert system for designing wind power station

A method and system of monitoring a structure, the method comprising: a) synchronously acquiring data comprising a plurality of operational parameters and at least one strain data, b) building a significant points dataset from the data acquired in step a), and c) modelling a relationship between the operational parameters and the strain data using the built significant points dataset to train a non-adaptive prediction functional supervised approximation method, wherein the step of building a significant points dataset comprises deletion of redundant information from the acquired data. The resultant models may be used to process structure real operation data in order to estimate the eventual crack initiation and crack growth on a set of predefined locations of the structure.

Method and system for monitoring a structure

The present disclosure is directed to systems and methods for generating one or more farm-level power curves for a wind farm that can be used to validate an upgrade provided to the wind farm The method includes operating the wind farm in a first operational mode Another step includes collecting turbine-level operational data from one or more of the wind turbines in the wind farm during the first operational mode The method also includes aggregating the turbine-level operational data into a representative farm-level time-series Another step includes analyzing the operational data collected during the first second operational mode Thus, the method also includes generating one or more farm-level power curves for the first operational mode based on the analyzed operational data

System and method for validating optimization of a wind farm

The invention provides a method for automatically uploading data of anemometer towers. The method comprises the following steps: A, monitoring, downloading and correspondingly storing data, uploaded by each anemometer tower, of data recorders into storage directories of each anemometer tower respectively; B, analyzing a data format, and uploading the data to a server; C, performing reasonability judgment on the stored data uploaded by each anemometer tower, and correcting unreasonable wind velocity data for wind resource analysis. According to the method, the anemometric data is corrected, so that the accuracy of the anemometric data for wind velocity detection can be improved, and high-accuracy data support is provided for both early site selection and later wind velocity anemometric meteorological factor detection of a wind power plant.

Method for automatically uploading data of anemometer towers

Regular arrangement optimization method of fans in flat terrain

The utility model provides a wind farm design expert system, which belongs to the technical field of expert system design and comprises an existing wind farm project anemometry data module, an existing wind farm project weather station data module, a new project original input data module for inputting new constructed wind farm original data, a wind source analyzing module, a wind turbine unit data module and a wind turbine unit model selection module. The wind source analyzing module is used for generating a wind source analyzing graph by using original data provided by the new project original input data module and referring to relevant data of multiple existing wind farms near a new constructed wind farm, and the relevant data are provided by the existing wind farm project anemometry data module and the existing wind farm project weather station data module. The wind turbine unit data module is used for building a wind turbine unit data form. The wind turbine unit model selection module recommends an optimum wind turbine unit model and arrangement according to wind source data obtained by analyzing the wind source analyzing module and by adopting wind turbine unit data provided by the wind turbine unit data module. The system solves the technical problem that the wind farm can be designed reasonably and accurately.

Wind farm design expert system

The invention puts forward a method for supplementing and correcting wind measurement data, which belongs to the technical field of wind resource analysis. The method includes the following steps: preprocessing raw data to divide the data into normal data and measurement-lacking unreasonable data; inputting a data set with all wind measurement altitudes as normal data in the raw data into a neural network module according to wind measurement time, and creating an operation model to obtain the relation between input and output; inputting the normal data as input data in the same periods of time as the measurement-lacking unreasonable data to be corrected into the neural network module, and utilizing the created operation model to obtain corrected correct data. The method solves the problem that the conventional wind measurement data correction method needs a great deal of raw data and cannot correct a great deal of data.

Lixin Sun

Papers

Regular arrangement optimization method of fans in flat terrain

Wind farm design expert system

Method for supplementing and correcting wind measurement data

Wind resource simulated estimation method for region without wind measurement records