Wind Turbine Generator Parameter Identification From No-Load Startup Data
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Solution Overview
Problem
The manual configuration of wind turbine generator parameters is prone to misconfiguration, affecting control performance and operational safety, and increases software maintenance complexity as the number of turbines grows.
Innovation Solution
A method and apparatus for automatic parameter identification of wind turbine generators by controlling the generator to no-load start and shutdown, acquiring operating data, and determining parameters such as rotor position, pole-pair number, flux linkage, stator resistance, and inductance using real-time voltage and current measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual configuration of generator parameters is used, then implementation is simple, but misconfiguration occurs affecting control performance and operational safety
Solution Approach 1:
The system automatically identifies generator parameters by controlling the generator to no-load start and shutdown, acquiring operating data, and determining parameters such as rotor position, pole-pair number, flux linkage, stator resistance, and inductance. This self-service approach eliminates manual parameter configuration, preventing misconfiguration while maintaining operational simplicity.
2Reliability
If manual configuration of generator parameters is used, then implementation is simple, but control performance is affected due to inaccurate parameters
Solution Approach 1:
The system automatically identifies generator parameters by controlling the generator to no-load start and shutdown, acquiring operating data, and determining parameters such as rotor position, pole-pair number, flux linkage, stator resistance, and inductance. This self-service approach eliminates manual parameter configuration, preventing misconfiguration while maintaining operational simplicity.
3Adaptability or versatility
If manual parameter configuration is used for each turbine, then individual customization is possible, but software maintenance complexity increases with number of turbines
Solution Approach 1:
Each generator automatically identifies its own parameters through no-load start and shutdown operations, eliminating the need for centralized manual configuration. This decentralized approach maintains adaptability for individual turbines while dramatically reducing software maintenance complexity, as parameter identification is performed autonomously by each unit.
4Reliability
If automatic parameter identification is implemented, then misconfiguration risk is reduced, but additional measurement and control operations are required
Solution Approach 1:
The system utilizes the generator's normal operational cycles of starting and shutting down to collect data for parameter identification. By continuously monitoring operating data during these necessary operational transitions, the system performs parameter identification without requiring separate dedicated measurement operations, thus maintaining reliability while minimizing additional complexity.
Data Source
AI summary
A parameter identification method and a parameter identification apparatus for a wind turbine generator are provided, in which the parameter identification method includes: controlling the generator to no-load start and shut down by adjusting a blade angle; acquiring operating data of the generator in a duration from no-load start to shutdown of the generator; and determining parameters of the generator based on the acquired operating data of the generator.