Wind Turbine Control Using Predictive Distribution Parameters
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Solution Overview
Problem
Current wind turbine control systems face inaccuracies due to uncertainties in sensor measurements, and replacing sensors with higher-precision ones is costly.
Innovation Solution
A control method that determines a predictive distribution parameter for the control signal using historical measured signals and a preset value, allowing for probabilistic and statistical control without the need for expensive high-precision sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If higher-precision sensors are used to improve control accuracy, then measurement precision is improved, but device cost increases
Solution Approach 1:
The patent uses standard, inexpensive sensors instead of expensive high-precision sensors, accepting that the measurements will have uncertainty. The solution compensates for this through statistical processing of multiple measurements rather than relying on a single expensive sensor
Solution Approach 2:
The patent implements feedback by collecting multiple historical measured signals, analyzing their statistical distribution, and using this information to determine the control signal. The uncertainty characterization from historical data feeds back into the control decision process
2Ease of manufacture
If PID control is used with standard sensors, then device cost is reduced, but control accuracy deteriorates due to measurement uncertainties
Solution Approach 1:
The patent performs preliminary action by collecting and analyzing multiple historical measured signals before making the control decision. This statistical preparation allows the system to account for measurement uncertainty in advance, improving control accuracy without requiring expensive sensors
Solution Approach 2:
The patent changes the approach from using a single measured value to using multiple historical measured signals and their statistical distribution. This parameter change from point estimate to distribution-based control enables accurate control decisions despite sensor uncertainty
Data Source
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AI summary
The present disclosure provides a control method, device, and system for a wind turbine set, and a storage medium. The control method comprises: acquiring a preset value of a control parameter and a plurality of historical measurement signals of a wind turbine set in a historical time period; according to the preset value and the plurality of historical measurement signals, determining an estimated distribution parameter of a control signal at a current moment; and determining the control signal at the current moment according to the estimated distribution parameter of the control signal at the current moment.