Hydro-Turbine Governor Parameter Mapping for Oscillation Stability
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Solution Overview
Problem
Existing hydro-turbine governing systems use time domain simulation to determine oscillation characteristics, which only constrains performance after adjustment and does not divide control parameters, making it difficult for operators to quickly adjust parameters for safe operation.
Innovation Solution
A method and system for correlating control parameters and oscillation characteristics by calculating dominant eigenvalues, determining oscillation characteristic regions, and dividing the control parameter stability domain into safe and risk regions, allowing for intuitive adjustment and optimization of control parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If time domain simulation method is used to determine oscillation characteristics, then the system can constrain adjusted performance, but it cannot provide detailed division of control parameters for intuitive understanding and fast adjustment
Solution Approach 1:
The control parameter space is segmented into distinct regions based on oscillation characteristics. The method divides the continuous parameter space into discrete zones (such as stable region, unstable region, and regions with different oscillation frequencies) using eigenvalue analysis. This segmentation allows operators to quickly identify which region their parameters fall into and make targeted adjustments, rather than dealing with continuous parameter spaces.
Solution Approach 2:
The patent transforms the control parameter analysis from time domain to complex frequency domain by using eigenvalue analysis. By mapping control parameters to their corresponding eigenvalues in the complex plane, the method adds a dimensional transformation that enables intuitive visualization of oscillation characteristics (real part indicates stability, imaginary part indicates frequency) and facilitates faster parameter adjustment decisions.
2Reliability
If conventional time domain simulation is adopted, then system performance can be constrained after adjustment, but operators cannot quickly evaluate the impact of parameter settings on system oscillation
Solution Approach 1:
The method performs preliminary eigenvalue analysis to pre-categorize control parameter regions before actual operation. By预先 calculating and storing the characteristics of different parameter regions (such as which parameter ranges correspond to ultra-low frequency oscillations), the system enables operators to quickly evaluate parameter impacts without performing full time-domain simulations, thus reducing evaluation time while maintaining reliability assessment capability.
Solution Approach 2:
The patent replaces the computationally intensive time domain simulation mechanism with an eigenvalue-based frequency domain analysis mechanism. This substitution uses mathematical transformation (from differential equations to characteristic equations) to replace mechanical simulation processes, enabling faster evaluation of parameter impacts on system oscillation while preserving the essential stability and reliability assessment functions.
3Stability of the object's composition
If control parameters are not divided into specific regions, then the system can maintain general stability, but operators cannot identify parameter boundaries for risky operations
Solution Approach 1:
The patent applies local quality by assigning different characteristics to different regions of the control parameter space. Each region is labeled with its specific oscillation characteristics (e.g., ultra-low frequency oscillation region, stable region, unstable region) based on eigenvalue analysis. This allows operators to understand the local properties of each parameter region and identify boundary conditions for risky operations, while the overall system stability is maintained through comprehensive coverage of all parameter spaces.
Data Source
AI summary
Disclosed are a method and a system for correlating hydro-turbine governing system control parameters and oscillation characteristics, and the method includes the steps: calculating a eigenvalue, a zero point and a pole of a state matrix in a hydro-turbine governing system state space model, taking a pole which is the closest to the imaginary axis and has no zero point in a preset distance as a dominant eigenvalue; determining an oscillation characteristic region of the hydro-turbine governing system on the complex plane according to the dominant eigenvalue; obtaining a system control parameter stability domain according to a Hurwitz stability criterion; and calculating dominant eigenvalues corresponding to different control parameters, classifying the control parameters according to an oscillation characteristic region of a complex plane where the dominant eigenvalue is located, and dividing the oscillation characteristic region in a system control parameter stability domain.