Coal Consumption Analysis During Thermal Power Peak Shaving
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Solution Overview
Problem
Coal-fired power plants face challenges in accurately measuring and managing coal consumption during peak shaving transient processes, as the thermal storage state of units changes, affecting real-time output power generation and operational economy.
Innovation Solution
An analysis method that divides the coal-feeding rate into three parts: steady-state load, thermal storage variation, and process control irreversibility increments, using piecewise linear interpolation functions to calculate coal consumption increments and thermal storage variations, allowing for precise coal utilization management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the coal-feeding rate is regulated to ensure real-time output power generation consistency with power load demand during peak shaving, then the power supply stability is improved, but the coal consumption measurement accuracy deteriorates due to thermal storage state changes
Solution Approach 1:
The coal-feeding rate is segmented into three distinct components: steady-state coal-feeding rate based on load rate, transient coal-feeding rate for thermal storage variation, and coal-feeding rate for process control irreversibility. This segmentation allows accurate measurement and analysis of coal consumption during peak shaving by separating the purposes of coal feeding.
Solution Approach 2:
The method changes the parameter perspective from total coal-feeding rate to component-based coal-feeding rate. By introducing piecewise linear interpolation functions to calculate steady-state coal-feeding rate and using integration to calculate transient coal consumption, the measurement accuracy is improved while maintaining power supply stability.
2Measurement precision
If piecewise linear interpolation functions are used to calculate steady-state coal-feeding rate, then the coal consumption analysis precision is improved, but the calculation complexity increases
Solution Approach 1:
The load rate range is segmented into multiple intervals, and piecewise linear interpolation functions are constructed for each interval. This segmentation approach improves calculation precision by capturing non-linear relationships while keeping each individual function simple and manageable.
Solution Approach 2:
The method uses historical steady-state operating data to create interpolation functions that copy and represent the relationship between load rate and coal-feeding rate. This allows accurate calculation without requiring complex real-time measurements, reducing computational complexity while maintaining precision.
Data Source
AI summary
An analysis method of coal consumption of the thermal power unit during peak shaving transients includes measuring and recording the coal-feeding rate under different steady-state loads, and then establishing the relationship between the coal-feeding rate and the load, wherein the coal consumption index of the unit during transients can be directly presented by the difference between the real-time coal-feeding rate and a steady-state corresponding value; the total coal increment can be obtained by integrating the real-time coal-feeding rate increment with time; for different loads, the coal consumption increment due to the unit's thermal storage variation can be defined as the thermal storage coal consumption increment; the thermal storage deviation of the unit during transients causes the additional coal consumption, which is defined as the process control coal consumption increment. This work can provide the clear guidance for the fuel control of the thermal power unit during peak shaving processes.