Wind Turbine Simulation Modeling with Segmented Wind Speed Ranges
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Solution Overview
Problem
Current wind turbine generator set simulation models inaccurately represent the non-linear relationship between wind speed and electrical/mechanical energy generation due to the use of linear relationships in mathematical models, leading to poor accuracy.
Innovation Solution
A method and device that cluster historical operation data into target data sets based on continuous wind speed ranges, train segmented pneumatic simulation models, calculate hyperplane coefficients, and concatenate these models with transmission generation models to create a more accurate wind turbine generator set simulation model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a linear relationship is used between wind speed and mechanical energy generation in the simulation model, then the model construction is simple, but the accuracy of the simulation model deteriorates
Solution Approach 1:
The patent divides the continuous wind speed range into multiple discrete segments or intervals. For each segment, a separate linear relationship is established between wind speed and mechanical energy generation. This segmentation allows the model to capture non-linear behavior across the full range while maintaining computational simplicity within each segment, thus resolving the contradiction between model simplicity and accuracy.
2Measurement precision
If a non-linear relationship is used between wind speed and mechanical energy generation, then the simulation model accuracy is improved, but the model complexity increases
Solution Approach 1:
The patent segments the non-linear relationship into multiple linear segments, where each segment represents a specific wind speed range. This approach approximates the non-linear behavior through piecewise linear functions, achieving improved accuracy without requiring complex non-linear mathematical models, thus reducing overall model complexity while maintaining precision.
Solution Approach 2:
The patent changes the parameters of the linear relationship (slope and intercept) for different wind speed segments. By allowing these parameters to vary across segments rather than remaining constant, the model captures non-linear behavior through parameter variation rather than through complex non-linear equations, thereby improving accuracy without significantly increasing model structural complexity.
Data Source
AI summary
A method and device for generating a wind turbine generator set simulation model, equipment and a medium, wherein the method includes: clustering a plurality of pieces of historical operation data of a wind turbine generator set, so as to obtain a predetermined number of target data sets, wherein wind speeds contained in each piece of the historical operation data in a target data set fall within a wind speed range corresponding to the target data set; different target data sets correspond to different wind speed ranges; training an initial simulation model by using each target data set, so as to obtain a segmented pneumatic simulation model corresponding to each target data set; constructing a transmission generation simulation model for a transmission system and a generator system, based on the historical operation data; concatenating the segmented pneumatic simulation model corresponding to each wind speed range and the transmission generation simulation model.