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Operation Data based Modelling and Optimization of Thermal Power Units under Full Working Conditions

机译:基于数据的全部工作条件下的热功率单元的建模与优化

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Thermal power units are frequently operated at a wide range of working conditions due to fast and large-scale penetration of intermittent renewable power. Most existing modelling based thermal power unit operation optimization methods are developed for either full-load working condition or certain static part-load working conditions. A modelling and optimization framework capable of covering the entire range of working conditions of a thermal power unit remains a challenge. In this work, we propose an operation data based approach to process modelling of thermal power units. Mathematical models are firstly developed for key components of a thermal power unit, including pipes, stages of turbines, heat exchangers and pumps, where performance of these components may change under different working conditions. Characteristics of these components are then calibrated using operation data obtained over a certain period covering various working conditions. With the proposed method, both design and off-design performances of a thermal power unit can be monitored. A case study is provided, where the proposed method is applied in a 330MW sub-critical thermal power unit in Shanxi, China. Results show that a substantial increase in the thermal efficiency can be achieved after applying the proposed method.
机译:由于间歇性可再生能力的快速和大规模渗透,导致热功率单元经常在各种工作条件下操作。大多数现有的基于建模的热功率单元操作优化方法是为满载工作状态或某些静态部分负载工作条件开发的。能够覆盖热电单元的整个工作条件范围的建模和优化框架仍然是一个挑战。在这项工作中,我们提出了一种基于操作数据的方法来处理了热电单元的建模。首先开发数学模型,用于热动力单元的关键部件,包括管道,涡轮机,热交换器和泵的级,这些部件的性能可以在不同的工作条件下改变。然后使用在覆盖各种工作条件的一定时间内获得的操作数据来校准这些组分的特征。利用所提出的方法,可以监控热电部件的设计和偏非设计性能。提供了案例研究,其中提出的方法应用于中国山西的330MW亚临界火电机单元。结果表明,在施加所提出的方法后,可以实现热效率的大幅增加。

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