Wind Power Plant Controller Active Power Dispatching
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Solution Overview
Problem
Wind power plants face challenges in accurately matching active power production with demand, leading to frequency imbalances in the electrical grid due to variations in individual wind turbine generators' output, necessitating improved control strategies to ensure grid stability and compliance with transmission system operators' requirements.
Innovation Solution
A dispatching strategy that adjusts active power set-points for wind turbine generators based on weighting factors, considering each turbine's available power and the overall wind power plant's output, allowing for efficient contribution to power increases or decreases, and implementing curtailment strategies to equalize production and prevent stability issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a conventional power plant controller generates active power set-points for wind turbine generators, then the plant can operate with simple control logic, but the system cannot accurately match active power production with demand due to variations in individual turbine output
Solution Approach 1:
The patent applies local quality by assigning individual weighting factors to each wind turbine generator based on its specific available active power capacity. Instead of uniform control, each turbine receives customized set-point adjustments proportional to its contribution capability, thereby improving overall power matching accuracy while accounting for local variations in turbine performance and wind conditions.
Solution Approach 2:
The control system dynamically adjusts weighting factors and active power set-points in real-time based on changing wind conditions and turbine availability. The power plant controller continuously monitors available active power from each turbine and modifies dispatching strategies accordingly, enabling the system to adapt to varying operational conditions and maintain high accuracy in power reference matching.
2Productivity
If the power plant controller adjusts active power set-points for each wind turbine generator individually, then the system can achieve high accuracy in matching power demand, but the control system complexity increases
Solution Approach 1:
The power plant controller pre-calculates weighting factors for each wind turbine generator based on their available active power capacities before power demand changes occur. This preliminary assessment allows the system to rapidly redistribute power set-points when demand changes, improving response speed without requiring complex real-time calculations during transient events.
Solution Approach 2:
The system changes key parameters (weighting factors and active power set-points) to optimize response speed. By adjusting these parameters based on real-time monitoring of turbine availability and power demand, the controller achieves fast response while maintaining manageable complexity through parameter-based control rather than complex algorithmic adjustments.
3Reliability
If wind turbine generators operate without coordinated control, then each turbine can operate independently with simple control logic, but frequency imbalances occur in the electrical grid due to variations in power output
Solution Approach 1:
The power plant controller implements feedback mechanisms by continuously monitoring the active power output of each wind turbine generator and comparing it against the target power reference. Based on this feedback, the controller adjusts individual turbine set-points using weighting factors to maintain overall plant output alignment with demand, thereby ensuring grid frequency stability through coordinated control while managing automation complexity.
4Productivity
If the power plant uses equal power distribution among all wind turbine generators, then the control logic is simple, but turbines with different available power contribute unequally leading to inefficiency
Solution Approach 1:
The patent implements local quality by assigning differentiated weighting factors to each wind turbine generator based on its specific available active power capacity. This approach ensures that turbines with higher available power contribute more to the total output, optimizing overall power contribution efficiency while the controller manages the complexity of individualized dispatching through systematic weighting calculations.
Data Source
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AI summary
The present invention relates to a wind power plant having a plurality of wind turbine generators and a power plant controller arranged to communicate with the plurality of wind turbines generators, wherein each wind turbine generator in the plurality of wind turbine generators being related to a wind turbine controller, the wind turbine controller being arranged to control an active power output in its related wind turbine generator according to an active power set point received from the wind power plant controller;the wind power plant supplies power to a utility grid in accordance with an active power reference; such that upon a change in the active power reference the active power set point for each wind turbine generator is changed by a weighting factor; wherein the weighting factor for an increase of the active power reference depends on a relationship between an available active power of each wind turbine generator and an available active power of the wind power plant, and wherein the weighting factor for a decrease of the active power reference depends on a relationship between a produced active power of each wind turbine generator and an aggregated active power output of the wind power plant. The invention also relates to a method for control wind power plant.