Modeling and Control of Subcritical Coal-Fired Power Plant Components for Fault Detection

S. Agbleze, F. Lima, Natarianto Indrawan, R. Panday, Paolo Pezzini, Harry Bonilla-Alvarado, K. Bryden, D. Tucker, L. Shadle
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引用次数: 1

Abstract

Due to the increased penetration of renewable power sources into the electric grid, the current number of existing coal-fired power plants shifting from baseload to load-following operations has also increased. This shift creates challenges especially for the power industry as coal-fired power plants were not designed for ramping situations, leading to added stress on major components of these plants. This stress causes the system to degrade over time and eventually develop faults. As boilers are still the primary component that fails and causes forced outages, accurate characterization of faults and fractures of boilers is now becoming increasingly critical to reduce plant downtime and extend the plant life during cycling operations. This work focuses on modeling sections of a subcritical coal-fired power plant and proposes algorithms for fault detection in MATLAB/Simulink. The developed model simulates the process dynamics including steam and feedwater flow regulating valves, drum-boiler, and heat rate on the regulation of pressure, drum level and production of saturated steam. The model also simulates the dynamics of superheaters for increasing the energy content of steam, and a spray section for regulating the temperature of steam upstream of the high-pressure turbine to allow for power output adjustment within a given valve operating range. Furthermore, an extension to a leak detection framework proposed by co-authors in previous work is explored. The new framework includes a modification to the threshold analysis portion of the previous work. The extended framework is then applied to a subcritical coal-fired power plant model for leak detection. In particular, this framework analyzes mismatches or deviations in expected plant dynamics with an identified transfer function model. The mismatch is flagged after it exceeds a threshold. The developed algorithm thus aids in rapid detection of faults to reduce impeded plant performance. The results of this work will support real plant operations by providing an accurate characterization of faults in the operation of coal-fired power plants.
火电厂亚临界部件故障检测建模与控制
由于可再生能源越来越多地进入电网,目前从基本负荷转向负荷跟踪的现有燃煤电厂的数量也有所增加。这种转变尤其给电力行业带来了挑战,因为燃煤电厂不是为坡道情况而设计的,这给这些电厂的主要部件带来了额外的压力。这种压力会导致系统随着时间的推移而退化,最终出现故障。由于锅炉仍然是发生故障并导致强制停机的主要部件,因此在循环运行期间,准确表征锅炉故障和断裂对于减少工厂停机时间和延长工厂寿命变得越来越重要。本文对某亚临界火电厂的剖面进行了建模,提出了基于MATLAB/Simulink的故障检测算法。该模型模拟了蒸汽和给水流量调节阀、汽包锅炉和热速率对压力、汽包液位和饱和蒸汽产量的调节。该模型还模拟了用于增加蒸汽能量含量的过热器的动力学,以及用于调节高压涡轮上游蒸汽温度的喷雾段,以便在给定的阀门工作范围内调节功率输出。此外,对先前工作中共同作者提出的泄漏检测框架进行了扩展。新框架包括对先前工作的阈值分析部分的修改。然后将扩展框架应用于亚临界燃煤电厂泄漏检测模型。特别地,该框架通过确定的传递函数模型分析预期植物动力学中的不匹配或偏差。不匹配在超过阈值后被标记。因此,所开发的算法有助于快速检测故障,以减少工厂性能的阻碍。这项工作的结果将通过提供燃煤电厂运行故障的准确特征来支持实际的电厂运行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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