Coal-fired unit pulverized coal distribution adjustment control method based on boiler wall temperature distribution field
By using a temperature deviation matrix and support vector regression model based on the boiler wall temperature distribution field, combined with a two-stage simulated annealing algorithm, the coal powder distribution regulation is optimized, solving the real-time and accuracy problems of existing coal powder distribution regulation methods. This achieves improvements in the uniformity of combustion intensity distribution and the safety, environmental protection, and economy of unit operation.
Patent Information
- Application Number
- CN202511413762.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-09-29
- Publication Date
- 2026-01-20
AI Technical Summary
Among the existing methods for adjusting pulverized coal distribution, manual sampling is highly accurate but time-consuming, making it difficult to meet the needs of real-time control. The online measurement technology for air and pulverized coal results in distorted values, leading to misjudgments in the control algorithm, difficulty in system convergence, and inability to effectively maintain the uniformity of combustion intensity distribution. This results in problems such as local overheating of water-cooled walls, excessive NOx emissions, and increased coal consumption.
Based on the boiler wall temperature distribution field, temperature deviation matrix is constructed by acquiring temperature measurement data of water-cooled wall in the boiler furnace. Combined with support vector regression model and two-stage simulated annealing algorithm, pulverized coal distribution regulation and control is realized. The sliding window averaging method is used to reduce the impact of instantaneous temperature fluctuations, dynamically correct the load rate, and optimize the damper opening in real time.
It achieves automatic adjustment of pulverized coal distribution under full load conditions, improves the uniformity of combustion intensity distribution, enhances the safety, environmental protection and economy of unit operation, and solves the control lag and instability problems of traditional methods under load fluctuations and coal quality changes.