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Applications of Model Based Controls on 5 Coal Fired Units to Improve Thermal and Emissions Performance

机译:基于模型的控制在5个燃煤机组上的应用,以提高热力和排放性能

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In the late 80's Virginia Power was experiencing outage problems associated with boiler tube leaks on their large, 550 MW, coal fired units at Mt. Storm. In addition the units were not achieving expected thermal performance levels. Following efforts to apply traditional techniques which did not adequately resolve these problems, Virginia Power embarked on an ambitious program to install Stone & Webster's model based Advanced Steam Temperature Control (ASTC) system on Unit 1. The ASTC system included the Model Reference Feedforward steam temperature control system to address the outage issue and the Soot Blow Advisor (U.S. Patent No. 5,181,482) system to address the performance issue.The system which was installed on a pilot distributed control system became fully functional by early 1990 and began to show payoffs in both areas. The unit experienced its longest run without a boiler tube failure and the rate of tube failures was reduced. The ability to maintain steam temperatures at set point and maintain clean boiler conditions improved thermal performance. Following the upgrade to a full distributed control system in '92, the Soot Blow Advisor was upgraded to a fully automatic system, activating soot blowers to maintain optimum thermal performance. Based on the success of the installation on Unit 1, following the recent controls upgrade to distributed control systems, the ASTC system was installed on the other two units at Mt. Storm. Similar results of improved thermal performance and reduced transient variations have been achieved.In '93 Virginia Power tested Stone & Webster's model based NOx Emissions Advisor (U.S. Patent No. 5,280,756) on the two coal fired units at Possum Point station. The testing demonstrated that NOx reductions of 20 % could be achieved on both the 107 MW Unit 3 and the 234 MW Unit 4 with no hardware retrofit. Based on these results Virginia Power embarked on the installation of the Stone & Webster NOx Emissions Advisor and Automation system in conjunction with the ASTC system for both of these units. The installation which was completed in the Spring of '95 hasattained the NOx reduction objectives with little or no penalty on thermal performance. Through automatic control action the combined system minimizes NOx emissions while maintaining satisfactory furnace conditions and high thermal performance over the entire load range for these cycling units.The Model Reference Feedforward steam temperature control system utilizes process models and all relevant plant signals to calculate feed forward signals. These signals are provided for the superheat and reheat steam temperature control loops every 2 seconds. In this way anticipatory signals are provided for effects such as load changes, excess air changes, fuel disturbances, soot blowing, etc. The system not only reduces steam temperature variations following disturbances, but also mitigates fuel transients, thereby reducing peak fuel swings and the associated impact on boiler tube failures.The Soot Blow Advisor and Automation system utilizes a full cycle performance program and a set of performance criteria in conjunction with all relevant plant sensors to select the optimum soot blower action. Calculated soot blower performance measures and advisory information are provided to the operator through the DCS graphic interface. The selected soot blower is transmitted to the DCS then processed by the discrete soot blower control logic and activated.The NOx Emissions Advisor and Automation System applies process models with input from all relevant plant sensors to determine the optimum' setting for a series of plant control settings which minimize NOx formation while maintaining satisfactory furnace conditions. Advisory information is provided to the operator through a graphic interface and the control settings are automatically transmitted to the DCS for on-line regulation.This paper describes these model based systems and their performance on t
机译:在80年代后期,弗吉尼亚电力公司(Virginia Power)遇到了因山上550兆瓦的大型燃煤机组锅炉管泄漏引起的停电问题。风暴。另外,这些装置没有达到预期的热性能水平。在努力应用不能充分解决这些问题的传统技术之后,Virginia Power开始了一项雄心勃勃的计划,在1号机组上安装了Stone&Webster基于模型的高级蒸汽温度控制(ASTC)系统。ASTC系统包括模型参考前馈蒸汽温度。控制系统以解决停机问题,以及吹灰顾问(美国专利号5,181,482)来解决性能问题。安装在试验性分布式控制系统上的该系统在1990年初开始全面运行,并且在两者中均表现出了收益地区。该机组运行时间最长,没有锅炉管故障,并且管故障率降低了。将蒸汽温度保持在设定点并保持锅炉清洁状态的能力提高了热性能。在92年升级为完全分布式控制系统之后,Soot Blow Advisor升级为全自动系统,启动了吹灰器以保持最佳的热性能。在1号机组安装成功的基础上,随着最近的控制系统升级为分布式控制系统,ASTC系统也安装在Mt的其他两个机组上。风暴。在93年,Virginia Power在Possum Point站的两个燃煤机组上测试了Stone&Webster基于NOx排放顾问的模型(美国专利5,280,756),从而获得了改善热性能和减少瞬态变化的类似结果。测试表明,在不进行硬件改造的情况下,107 MW 3号机组和234 MW 4号机组均可实现20%的NOx降低。基于这些结果,Virginia Power着手为这两个单元安装了Stone&Webster NOx排放顾问和自动化系统以及ASTC系统。在95年春季完成的安装已达到了减少NOx的目标,而对热性能的影响很小或没有。通过自动控制,该组合系统可最大程度地减少NOx排放,同时在这些循环装置的整个负载范围内保持令人满意的炉况和较高的热性能。模型参考前馈蒸汽温度控制系统利用过程模型和所有相关的工厂信号来计算前馈信号。这些信号每2秒提供给过热和再热蒸汽温度控制回路。通过这种方式,可以提供预期信号,例如负载变化,空气过多变化,燃料扰动,吹灰等。该系统不仅可以减少扰动后的蒸汽温度变化,而且还可以减轻燃料瞬变,从而减少峰值燃油波动和油耗。吹灰顾问和自动化系统利用全周期性能程序和一系列性能标准,结合所有相关的工厂传感器来选择最佳的吹灰器动作。通过DCS图形界面将计算得出的吹灰机性能指标和咨询信息提供给操作员。选定的吹灰器被传送到DCS,然后由离散吹灰器控制逻辑进行处理并激活。NOx排放顾问和自动化系统将过程模型与来自所有相关工厂传感器的输入一起应用,以确定一系列工厂控制的最佳设置这些设置可最大程度地减少NOx的形成,同时保持令人满意的炉膛条件。通过图形界面向操作员提供咨询信息,控制设置自动传输到DCS以进行在线调节。本文介绍了这些基于模型的系统及其在运行时的性能。

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