Load Change Speed Optimization for Turbine Component Service Life
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Solution Overview
Problem
Current methods for predicting service life consumption of components in fossil-fuel-fired power generation systems during load changes do not allow for active influence or optimization based on market requirements, limiting flexibility and competitiveness in liberalized electricity markets.
Innovation Solution
A method and device that determine current system variables before a load change, calculate a predicted service life consumption for individual components by setting a speed step and simulating the load change process, enabling adjustment of the load change to minimize service life consumption and optimize operational flexibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If load changes are performed quickly to meet market requirements, then productivity and responsiveness are improved, but service life consumption of components increases
Solution Approach 1:
The system performs preliminary calculations of service life consumption before executing load changes. By computing predicted service life consumption values in advance based on current system state and planned load change parameters, the system can evaluate multiple scenarios and select optimal load change rates that balance market responsiveness with component protection.
Solution Approach 2:
The system dynamically adjusts load change parameters based on real-time system state. The automation system continuously monitors current variables and adapts the load change rate during the transition process, allowing faster changes when components are in favorable states and slower changes when service life consumption would be excessive.
2Reliability
If rigid service life limits are enforced to protect components, then reliability is improved, but flexibility and adaptability to market requirements deteriorate
Solution Approach 1:
The system calculates predicted service life consumption values before load changes occur, enabling advance planning and optimization. This preliminary assessment allows operators to understand the service life impact of different load change scenarios and make informed decisions that balance component protection with operational flexibility.
Solution Approach 2:
The system continuously monitors actual service life consumption and compares it with predicted values and limit values. This feedback mechanism allows dynamic adjustment of load change parameters to stay within acceptable service life consumption boundaries while maximizing operational flexibility and responsiveness to market conditions.
3Reliability
If service life consumption is minimized through careful load change management, then component reliability is improved, but load change time and productivity may be reduced
Solution Approach 1:
The system performs preliminary calculations of service life consumption for different load change scenarios before execution. By evaluating multiple options in advance, the system can identify the optimal load change rate that achieves acceptable service life consumption while minimizing load change duration, thus reducing time loss.
Solution Approach 2:
The system optimizes load change parameters such as load change rate and timing based on current system state and component conditions. By dynamically adjusting these parameters, the system achieves the fastest possible load changes that still maintain service life consumption within acceptable limits.
Data Source
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AI summary
The invention relates to a method for forecasting service life consumption of individual components of a fossil fuel-fired power station with regard to a load change to be carried out. The inventive method is characterized by determining, prior to the load change, actual variables characteristic of the condition of the power station, preajdusting a regulating notch of the power station producing the load change, calculating, based on the regulating notch and the characteristic variables, the load change time, and calculating a forecast service life consumption for at least a part of the individual components for the adjusted regulating notch. The invention also relates to a method for forecasting the expected load change time in a fossil fuel-fired power station. The inventive method is characterized by determining, prior to the load change, actual variables characteristic of the condition of the power station, so that the regulating notch and the expected load change time is calculated when the desired service life consumption of the individual components after load change is input. The invention finally relates to a device which is suitable for carrying out the methods.