Wind Farm Power Control Using Fatigue Load Balancing
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Solution Overview
Problem
Wind farms face challenges in optimizing power output due to terrain complexity, fluctuating wind resources, and limited grid transmission capacity, leading to reduced overall power generation and economic inefficiencies when operating under power limitations.
Innovation Solution
A method and apparatus that utilize historical and current fatigue load data, combined with machine learning models, to determine optimal power values for wind turbines, balancing load distribution and reducing maintenance costs by uniformly consuming fatigue loads across the farm.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If traditional power control methods are used, then individual wind turbine control is simple, but wind farm overall output stability deteriorates due to random individual power adjustments
Solution Approach 1:
The system segments wind turbine control into two layers: individual turbine autonomous control and wind farm centralized coordination. Each turbine independently monitors its own operational state and performs basic power adjustment, while the centralized system coordinates overall wind farm output based on grid requirements, dividing the control function to achieve both local responsiveness and global stability.
Solution Approach 2:
The system implements feedback mechanisms where each wind turbine continuously monitors its operational state and power output, and the wind farm management system receives real-time data from all turbines to dynamically adjust control strategies. This closed-loop feedback ensures that individual power adjustments are coordinated to maintain overall wind farm output stability.
2Productivity
If wind speed changes occur, then wind energy availability changes, but traditional methods cannot quickly adjust output to match grid requirements
Solution Approach 1:
The system performs preliminary actions by pre-calculating optimal power adjustment strategies based on predicted wind conditions and grid requirements. When wind speed changes are detected, the centralized control system has pre-prepared adjustment plans that can be rapidly implemented across multiple turbines, enabling quick response while maintaining output stability through coordinated execution.
Solution Approach 2:
The control system dynamically adapts its strategy based on real-time wind speed changes and grid requirements. The centralized management system continuously adjusts power distribution targets for individual turbines according to current operational conditions, enabling the wind farm to quickly respond to wind variations while maintaining overall output stability through dynamic coordination.
3Ease of operation
If individual wind turbines adjust power randomly, then each turbine operates independently, but overall wind farm power coordination deteriorates
Solution Approach 1:
The centralized wind farm management system serves multiple functions: it coordinates overall power output, monitors individual turbine states, communicates with the power grid, and dynamically adjusts control strategies. This multi-functional system provides comprehensive power coordination without requiring separate specialized systems for each function, managing complexity through integration.
Data Source
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AI summary
The present disclosure provides a method and an apparatus for controlling power of a wind farm. The method includes: acquiring a historical equivalent fatigue load of a target component of each of a plurality of wind turbines; acquiring an entire fatigue load, an equivalent fatigue load of the target component and a pay per unit power generation of each of the plurality of wind turbines at a current moment; determining an optimal power value for at least one of the wind turbines according to the historical equivalent fatigue load, as well as the entire fatigue load, the equivalent fatigue load, and the pay per unit power generation; and adjusting a power value of the at least one of the wind turbines to the optimal power value for the wind turbine.