Renewable Plant Active Power Control During Frequency Deviations
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Solution Overview
Problem
Existing power plants face inaccuracies in active power output control during frequency deviations due to errors in estimating available power, leading to inadequate network support during frequency events.
Innovation Solution
A method for controlling active power output in renewable energy plants by determining an estimate correction factor based on a comparison of estimated and measured power within the frequency deadband, refining the estimate using a power plant model to account for power loss and curtailment, and dispatching corrected set points during frequency events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If active power output is controlled based on an estimate of available power, then the power plant can respond to frequency deviations, but errors in the estimate cause inadequate network support
Solution Approach 1:
The system performs preliminary characterization of the power plant model during normal operation (within frequency deadband) to establish the relationship between control inputs and actual power output. This preliminary action enables accurate prediction of available power during frequency events, resolving the contradiction between reliable network support and estimation accuracy.
Solution Approach 2:
The system continuously monitors actual power output and compares it with model predictions, using this feedback to refine and update the power plant model parameters. This feedback mechanism ensures the model remains accurate over time, improving both estimation precision and network support reliability.
2Measurement precision
If the power plant model is updated continuously, then estimation accuracy improves, but computational complexity and processing time increase
Solution Approach 1:
The system performs model updates during normal operation conditions when computational resources are abundant and frequency events are not occurring. This preliminary model characterization avoids the need for complex real-time updates during critical frequency events, reducing computational complexity while maintaining accuracy.
Solution Approach 2:
The system updates only the necessary model parameters that have changed due to plant modifications or degradation, rather than performing complete model re-characterization. This partial action approach reduces computational complexity while maintaining sufficient estimation accuracy for frequency support.
Data Source
AI summary
Aspects of the present invention relate to a method for controlling active power output of a renewable energy power plant comprising one or more renewable energy generators. Aspects of the invention may be used to control the active power output of a wind energy power plant and to determine accurate estimates of the available active power when the frequency level of the connected power network is outside of the frequency deadband.


