Start-Up Optimization of a CCGT Power Station Using Model Based Gas Turbine Control

A. Nannarone, S. Klein
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Abstract

The rapid growth of renewable generation and its intermittent nature has modified the role of combined cycle power stations in the energy industry, and the key feature for the operational excellence is now flexibility. Especially, the capability to start an installation quickly and efficiently after a shutdown period leads to lower operational cost and a higher capacity factor. However, most of existing thermal power stations worldwide are designed for continuous operation, with no special focus on an efficient start-up process. In most current start-up procedures, the gas turbine controls ensure maximum heat flow to the heat recovery steam generator, without feedback from the steam cycle. The steam cycle start-up controls work independently with as main control parameter the limitation of the thermal stresses in the steam turbine rotor. In this paper, a novel start-up procedure of an existing combined cycle power station is presented, and it uses a feedback loop between the steam turbine, the boiler and the gas turbine start-up controls. This feedback loop ensures that the steam turbine can be started up with a significant reduction in stresses. To devise and assess this start-up methodology, a flexible and accurate dynamic model was implemented in the Simulink™ environment. It contains more than 100 component blocks (heat exchangers, valves, meters and sensors, turbines, controls, etc.), and the mathematical component sub-models are based on physical models and experimental correlations. This makes the model generally applicable to other power plant installations. The model was validated against process data related to the three start-up types (cold start, warm start, hot start). On this basis, the optimization model is implemented with feedback loops that control for example the exit temperature of the gas turbine based on the actual steam turbine housing temperature, resulting in a smoother heating up of the steam turbine. The optimization model was used to define the optimal inlet guide vanes position and gas turbine power output curves for the three types of start-up. These curves were used during real power station start-ups, leading to, for cold and warm starts, reductions in the start-up time of respectively 32.5% and 31.8%, and reductions in the fuel consumption of respectively 47.0% and 32.4%. A reduction of the thermal stress in the steam turbines is also achieved, thanks to the new start-up strategy.
基于模型的燃气轮机控制CCGT电站启动优化
可再生能源发电的快速增长及其间歇性改变了联合循环电站在能源工业中的作用,其卓越运行的关键特征现在是灵活性。特别是,在停井后快速有效地启动安装的能力,降低了运营成本,提高了产能系数。然而,世界上大多数现有的热电站都是为连续运行而设计的,没有特别关注有效的启动过程。在大多数当前的启动程序中,燃气轮机控制确保最大的热流到热回收蒸汽发生器,没有来自蒸汽循环的反馈。蒸汽循环启动控制以汽轮机转子的热应力限值为主要控制参数独立工作。本文提出了一种新的联合循环电站启动程序,该程序采用了汽轮机、锅炉和燃气轮机启动控制之间的反馈回路。这种反馈回路确保汽轮机可以在显著减少应力的情况下启动。为了设计和评估这种启动方法,在Simulink™环境中实现了一个灵活而准确的动态模型。它包含100多个组件块(热交换器,阀门,仪表和传感器,涡轮机,控制器等),数学组件子模型基于物理模型和实验相关性。这使得该模型普遍适用于其他电厂装置。根据与三种启动类型(冷启动、热启动、热启动)相关的过程数据验证了该模型。在此基础上,利用反馈回路实现优化模型,根据汽轮机壳体实际温度控制燃气轮机出口温度等,使汽轮机升温更加平稳。利用优化模型确定了三种启动方式下的最优进口导叶位置和燃气轮机功率输出曲线。这些曲线在电站实际启动时使用,结果表明,冷启动和热启动时,启动时间分别减少了32.5%和31.8%,燃油消耗分别减少了47.0%和32.4%。由于采用了新的启动策略,汽轮机的热应力也得到了降低。
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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