Wind Turbine Oscillation Damping via Modular Control
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Solution Overview
Problem
Conventional management systems for wind energy installations struggle to effectively coordinate sensor and actuator systems to prevent the buildup of natural oscillations, leading to potential damage and reduced energy yield.
Innovation Solution
A management system with a central controller that integrates data from sensors to predict and react to oscillations and loads, using a combination of actuators such as pitch control, active torque support, and frequency converters to implement damping measures and reduce loads across component modules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional management systems are used to coordinate sensor and actuator systems, then the system structure is simple, but natural oscillations build up and the system may go out of control leading to damage
Solution Approach 1:
The management system is segmented into distinct functional modules: sensor systems for detecting oscillation parameters, controller modules for analyzing detected parameters and determining oscillation types, and actuator systems for implementing damping measures. This modular segmentation allows complex oscillation control functions to be distributed across independent components, improving reliability while managing complexity through structured organization.
Solution Approach 2:
The controller acts as an intermediary between sensor systems and actuator systems. It receives data from sensors, processes oscillation parameters, determines oscillation types, and generates appropriate control signals for actuators. This intermediary role enables coordinated response to oscillations without requiring direct complex coupling between sensors and actuators, thereby enhancing system stability while maintaining manageable complexity.
2Reliability
If no oscillation damping measures are implemented, then the device complexity is low, but oscillations build up causing increased risk of damage
Solution Approach 1:
The damping system is designed to be dynamic rather than static. The controller continuously monitors oscillation parameters, identifies oscillation types in real-time, and adjusts actuator commands dynamically. This dynamic adaptation allows the system to provide appropriate damping only when and where needed, preventing damage while avoiding the complexity of permanently activated damping mechanisms across all components.
Solution Approach 2:
The system implements closed-loop feedback by continuously detecting oscillation parameters through sensors, analyzing them in the controller, and adjusting actuator outputs based on the analyzed results. This feedback mechanism enables the system to automatically respond to oscillation conditions, preventing damage accumulation while maintaining simplicity through automated control rather than complex mechanical damping structures.
3Reliability
If multiple actuators are activated for oscillation damping, then oscillation control effectiveness is improved, but the coordination between sensor system, actuator system, and damping modules becomes more complex
Solution Approach 1:
The controller merges the functions of multiple actuators into a unified control architecture. Instead of independently managing each actuator, the controller integrates their control signals and coordinates their actions based on the detected oscillation type and parameters. This merging approach maintains oscillation control effectiveness while reducing coordination complexity through centralized management.
Solution Approach 2:
The controller is designed with multi-functionality to handle various oscillation types and coordinate multiple actuators through a single unified system. It can identify different oscillation modes, determine appropriate damping strategies, and activate relevant actuators based on the situation. This universal approach allows effective oscillation control across multiple components without requiring separate specialized control systems for each actuator, thereby managing coordination complexity.
Data Source
AI summary
A management system for a wind energy plant including at least one control unit, and a method using the management system are disclosed. The management system is used to coordinate component modules of the wind energy plant with vibration damping modules and/or load reduction modules, wherein a sensor system supplies data of the operating states of the component modules for a system analysis. For this purpose, reactive vibrations and/or predictive forecasts of vibrations of the wind energy plant, and predictive disturbance variables are registered, and the vibration damping modules and/or load reduction modules in the control unit are activated, wherein an actuator carries out damping measures and/or load reduction measures on the component modules in accordance with the vibration damping modules and/or load reduction modules of the control unit.