Real time monitoring method for temperature overheating of supercritical thermal power unit

Hongliang Wu

doi:10.1117/12.2620670

29 November 2021 Real time monitoring method for temperature overheating of supercritical thermal power unit

Hongliang Wu

Proceedings Volume 12080, 4th International Symposium on Power Electronics and Control Engineering (ISPECE 2021); 120803U (2021) https://doi.org/10.1117/12.2620670
Event: 4th International Symposium on Power Electronics and Control Engineering (ISPECE 2021), 2021, Nanchang, China

Abstract

When the temperature of supercritical thermal power unit is overheated, it is easy to cause power station failure, and even fire in serious cases, resulting in great potential safety hazards. Based on this, it is necessary to optimize the problem of poor real-time monitoring of thermal power unit temperature overheating. This paper proposes a real-time monitoring method for the temperature and overheating of supercritical thermal power units. Aiming at the problem of overheating of supercritical thermal power units, this paper optimizes the online temperature monitoring system, the online stator winding end vibration monitoring system and the online generator gas analysis and monitoring structure installed in the steam turbine generator unit of the power station. Based on the above optimization, the time and temperature tracking detection algorithm for thermal power units is improved. Through system application analysis, different online monitoring methods are compared, and different online monitoring methods can be flexibly selected to ensure the safe operation of the unit. The experiments show that the real-time monitoring method of temperature overheating of supercritical thermal power generation unit has high practicability in the process of practical application, can better carry out high temperature early warning and solve the problem of poor monitoring effect.

Citation Download Citation

Hongliang Wu "Real time monitoring method for temperature overheating of supercritical thermal power unit", Proc. SPIE 12080, 4th International Symposium on Power Electronics and Control Engineering (ISPECE 2021), 120803U (29 November 2021); https://doi.org/10.1117/12.2620670

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KEYWORDS

Wind turbine technology

Data modeling

Control systems

Signal processing

Statistical modeling

Computing systems

Safety

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