A flexible operation capacity evaluation method, system, device and medium based on steam turbine rotor expansion difference prediction

By constructing a real-time expansion difference prediction model weighted by inertial elements, the expansion difference change between the turbine rotor and the cylinder can be accurately predicted, solving the problem of inaccurate expansion difference prediction in the existing technology, and realizing the safety assessment of flexible operation of thermal power units and the safety constraints of deep peak shaving.

CN122241960APending Publication Date: 2026-06-19GUIZHOU CHUANGXING ELECTRIC POWER RES INST CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
GUIZHOU CHUANGXING ELECTRIC POWER RES INST CO LTD
Filing Date
2026-01-23
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

Existing technologies cannot accurately predict the changes in the expansion difference between the turbine rotor and the cylinder, which leads to safety hazards and limited operational flexibility during deep peak shaving.

Method used

A real-time expansion difference prediction model based on inertial elements is constructed. By combining multi-dimensional operating data and three-dimensional unsteady heat conduction control equations with inertial element weighting, the expansion difference change trend is accurately predicted, and a safety threshold is set for evaluation.

Benefits of technology

It enables a scientific assessment of the turbine's flexible operation capability, improves the safety and flexibility of peak-shaving operation, avoids the risk of excessive expansion difference, and adapts to the flexible operation needs of different types of thermal power units.

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Abstract

This invention discloses a method, system, equipment, and medium for assessing the flexible operation capability of a steam turbine based on rotor expansion difference prediction, belonging to the field of power technology. The method includes: constructing a real-time prediction model for turbine expansion difference based on collected multi-dimensional operating data, obtaining an expansion difference prediction algorithm; setting a future target power value to determine the power change trend, and inputting the parameters corresponding to the power change trend into the expansion difference prediction algorithm to calculate the expansion difference prediction value sequence under the current target power; comparing the expansion difference prediction value sequence corresponding to each target power with a preset threshold to determine whether the target power allows for safe adjustment under the current state. This invention can proactively predict expansion difference changes under different power adjustment schemes, quantify the safe adjustment range and rate, provide scientific guidance for the flexible operation of the unit, fully explore peak-shaving potential while ensuring safety, and improve the unit's flexible operation capability.
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