Wind Power Plant Controller Dispatching Strategy for Active Power Matching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Wind power plants face challenges in accurately controlling active power output to match grid frequency requirements due to variations in wind conditions affecting individual wind turbine generators, leading to inefficiencies and instability in power distribution.
Innovation Solution
A dispatching strategy that categorizes wind turbine generators into groups based on power capability, adjusting active power set-points to equalize curtailment across turbines with higher and lower capabilities, ensuring the wind power plant's aggregated output matches the desired active power reference, while limiting ramp rates to maintain stability and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If wind turbine generators operate independently without coordinated control, then each turbine can respond to local wind conditions, but the aggregated power output cannot accurately match the active power reference required by the grid
Solution Approach 1:
The control system segments the wind power plant into individual wind turbine generator groups, with each group controlled by a dedicated wind turbine controller that receives coordinated setpoints from the power plant controller. This segmentation allows independent response to local conditions while maintaining centralized coordination for accurate aggregate power matching.
Solution Approach 2:
The power plant controller acts as an intermediary between the grid requirements (active power reference) and the individual wind turbine generators. It receives the active power reference from the grid operator, calculates appropriate setpoints for each turbine group, and transmits these setpoints to the wind turbine controllers, thereby coordinating the overall power output to match grid requirements.
2Speed
If active power set-points are adjusted rapidly to meet changing grid demands, then the wind power plant responds faster to active power reference changes, but frequency stability and system reliability may be compromised
Solution Approach 1:
The control system dynamically adjusts active power set-points based on real-time grid frequency conditions and active power reference changes. The power plant controller continuously monitors grid status and modifies turbine setpoints accordingly, enabling rapid response while maintaining stability through adaptive control rather than fixed rigid control parameters.
Solution Approach 2:
The system implements feedback control by continuously monitoring the actual aggregated power output and comparing it with the active power reference. The power plant controller uses this feedback information to adjust the setpoints for individual turbine groups, ensuring that the plant responds appropriately to reference changes while maintaining frequency stability through closed-loop control.
3Measurement precision
If individual wind turbine generators are curtailed to match aggregate power output with active power reference, then power distribution accuracy improves, but the power capability utilization of individual turbines becomes inefficient
Solution Approach 1:
The control system applies local quality by differentiating the control approach for different turbine groups based on their individual power capabilities and local wind conditions. The power plant controller calculates group-specific setpoints that consider each turbine's actual power capability, rather than applying uniform curtailment, thereby maintaining both aggregate accuracy and individual utilization efficiency.
Solution Approach 2:
The system changes the control parameter from uniform curtailment to capability-based differential setpoints. Instead of reducing all turbines to the same power level, the power plant controller adjusts each group's setpoint according to its power capability, allowing turbines with higher capability to contribute more while still achieving accurate aggregate power matching.
4Measurement precision
If the wind power plant uses a centralized control approach to coordinate all turbines, then aggregated power matching accuracy improves, but the system complexity and communication requirements increase
Solution Approach 1:
The centralized control system is segmented into a power plant controller for overall coordination and individual wind turbine controllers for execution. This hierarchical segmentation reduces communication complexity by dividing control functions while maintaining centralized decision-making for accurate aggregate power matching.
Solution Approach 2:
The power plant controller performs multiple functions including receiving active power reference, calculating optimal setpoints for different turbine groups, monitoring grid frequency, and coordinating all wind turbine generators. This multi-functionality consolidates control complexity into a single controller that manages the entire plant's power output accuracy.
Data Source
AI summary
A wind power plant supplies power to a utility grid in accordance with an active power reference, where the wind power plant comprises a plurality of wind turbine generators and a power plant controller arranged to send an active power set point to the wind turbine controller of each of the plurality of wind turbine generators.