Wind Farm Controller Dynamic Setpoint Distribution
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Solution Overview
Problem
Existing wind farm operation methods struggle to efficiently distribute setpoint values to wind turbines to ensure stable and rapid response to power limitations, often resulting in throttled or switched-off turbines, which can lead to excessive control interventions and inefficiencies.
Innovation Solution
A method where a higher-level controller calculates and distributes target values to wind turbines based on their maximum possible output, taking into account the current characteristics of each turbine and the overall wind farm capacity, ensuring that turbines with higher capabilities receive proportionally higher setpoint values and that the wind farm can quickly adjust to power limitations without excessive control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If a maximum permissible feed-in power is specified for the wind farm, then the power output can be limited to meet network requirements, but this requires throttled operation or switching off of individual wind turbines which reduces productivity and increases wear
Solution Approach 1:
The system dynamically changes the target value parameter for each wind turbine based on the ratio of currently maximum possible value to mean value, allowing flexible power distribution that adapts to real-time conditions while meeting the maximum permissible feed-in power requirement
Solution Approach 2:
The control system implements dynamic target value adjustment where the higher-level controller continuously updates individual turbine targets based on current operational status and maximum possible values, enabling the system to respond flexibly to changing conditions rather than using static throttling
2Ease of operation
If setpoint values are distributed evenly to all wind turbines, then the control system is simple to operate, but this does not account for individual turbine characteristics and reduces adaptability
Solution Approach 1:
The system applies local quality by distributing target values according to each wind turbine's individual characteristics and current maximum possible value, rather than uniform distribution. This allows each turbine to operate optimally based on its specific capabilities while maintaining overall system coordination
Solution Approach 2:
The target value parameter for each turbine is dynamically adjusted based on the ratio of its currently maximum possible value to the mean value of all turbines, enabling the system to adapt to individual turbine characteristics while maintaining operational simplicity through automated calculation
3Power
If wind turbines are throttled or switched off to meet power limitations, then the maximum permissible feed-in power is maintained, but this increases wear on turbines and reduces overall wind farm productivity
Solution Approach 1:
The system uses dynamic target value adjustment where each turbine receives a customized target based on its current operational status and maximum possible value. This dynamic approach allows turbines to operate smoothly within their capabilities rather than abrupt throttling or shutdown, improving reliability
Solution Approach 2:
The higher-level controller receives feedback on the currently maximum possible value of each turbine and adjusts target values accordingly. This feedback mechanism ensures that turbines are not overloaded beyond their capabilities, preventing excessive wear and improving operational reliability
Data Source
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AI summary
A method for operating a wind farm with a plurality of wind turbines, each having a control unit that can control and/or regulate the wind turbine in response to a received setpoint for an electrical quantity, wherein the method comprises the following steps: - a higher-level control system calculates and/or receives a currently maximum permissible value for the electrical quantity that the wind farm is allowed to provide, - the higher-level control system determines a setpoint for the electrical quantity for each wind turbine and transmits this to the wind turbines, characterized in that the higher-level control system determines the setpoint for each of the wind turbines depending on the currently maximum and/or minimum possible values of all wind turbines.