Wind Power Installation Power Gradient Control
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Solution Overview
Problem
Wind power installations experience sudden changes in wind conditions, leading to steep power gradients that can cause network perturbations or failures in electrical supply networks, particularly in small networks.
Innovation Solution
Implementing a method that uses a stabilization operator and/or prediction operator in the power control of wind power installations to limit power gradients by adjusting the output power, utilizing a full-scale converter and taking into account stabilization and prediction parameters, such as wind speed and rotor inertia, to stabilize and predict wind power output.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If wind power installations directly feed generated power into the electrical supply network, then the power generation efficiency is maximized, but network perturbation or failure occurs due to steep power gradients from sudden wind changes
Solution Approach 1:
The prediction operator uses LIDAR measurements to detect upcoming wind changes before they occur and pre-adjusts the power gradient accordingly. This preliminary action allows the system to prepare for wind gusts or storms in advance, smoothing the power feed-in curve before steep gradients can develop, thus preventing network perturbation while maintaining high power generation efficiency
Solution Approach 2:
The stabilization operator continuously monitors the actual power output and compares it with the predicted power gradient. When deviations are detected, the system provides feedback to adjust the power gradient in real-time, ensuring that the feed-in power remains stable and prevents network perturbation while maximizing power generation
2Reliability
If the power gradient is limited to stabilize network feed-in, then network stability is improved, but the power generation output is reduced
Solution Approach 1:
By using LIDAR to predict wind changes in advance and pre-adjusting the power gradient, the system can maintain high power generation output while smoothing the feed-in curve. The preliminary action allows the full-scale converter to prepare for wind variations before they occur, avoiding the need to limit power generation and instead enabling optimal power capture with stabilized feed-in
Solution Approach 2:
The system dynamically changes the power gradient parameter based on predicted and actual wind conditions. By adjusting the power gradient parameter in real-time using prediction and stabilization operators, the system optimizes the balance between power generation output and network stability, ensuring high productivity while maintaining reliable network feed-in
Data Source
AI summary
A method for feeding electrical power into an electrical supply network by means of at least one wind power installation having a power control and a generator, comprising the steps of: creating an electrical power gradient for an electrical power to be generated by the wind power installation wherein the power gradient at least: is limited by means of a stabilization operator or is created by means of a prediction operator in such a way that the electrical power gradient is unequal to a predicted wind power gradient, adjusting the created electrical power gradient in the power control of the wind power installation, generating an electrical power by means of the wind power installation depending on the created electrical power gradient for a feed-in time period with a feed-in time.