Wind Farm Active Power Control via Modeled Setpoint Division
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Solution Overview
Problem
Existing wind farm control methods struggle to precisely and quickly implement target value specifications for active power output, especially in dynamic conditions, due to limitations in response behavior and operating state considerations.
Innovation Solution
A method that uses a wind farm model to generate a modeled active power target value, which is combined with actual output values and divided among individual wind turbines, allowing for precise control by accounting for operating modes and state variables, thereby improving dynamic behavior and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a wind farm model with individual turbine models is used to generate modeled active power target values, then the precision and speed of target value implementation is improved, but the device complexity increases
Solution Approach 1:
The wind farm model is segmented into multiple individual wind turbine models, each representing specific turbines or groups of turbines. This segmentation allows the system to account for individual turbine characteristics and operating states, improving the precision of modeled active power target values while maintaining manageable complexity through modular structure
Solution Approach 2:
The wind farm model serves multiple functions: it generates modeled active power target values, predicts turbine behavior under different operating conditions, and provides a basis for pre-control calculations. This multi-functionality reduces the need for separate systems, thereby improving precision without proportionally increasing complexity
2Speed
If pre-control manipulated variable is added independently of wind farm states, then the dynamic response speed is improved, but the control accuracy may deteriorate
Solution Approach 1:
A pre-control manipulated variable is calculated in advance based on the wind farm model and applied before actual setpoint changes occur. This preliminary action enables the system to anticipate and prepare for power output changes, significantly improving dynamic response speed while maintaining accuracy through model-based predictions
Solution Approach 2:
The control system continuously compares actual wind farm output with modeled target values and adjusts the pre-control manipulated variable accordingly. This feedback mechanism ensures that while rapid response is achieved through pre-control, accuracy is maintained by correcting deviations based on actual system behavior
Data Source
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AI summary
Method for controlling active power in a wind farm with at least two wind turbines, the power output of which is controlled by a wind turbine controller, wherein a setpoint of the active power to be delivered by the wind farm is applied to a wind farm model, which generates a modeled active power setpoint of the wind farm, which together with an actual value of the active power delivered by the wind farm is applied to a subtraction element, which provides a control difference for a power controller, which generates a control variable, to which a feedforward control variable determined independently of the operating states of the wind turbines of the wind farm and their actual values is added to a total control variable, wherein the modeled active power setpoint of the wind farm is determined from a sum of modeled active power setpoints.wherein the active power setpoint of the wind farm is divided among models of the wind turbines contained in the wind farm and the models of the wind turbines each determine a modeled active power setpoint of the respective wind turbine, depending on a share of the active power setpoint attributable to the respective model.