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Gradient-free methods applied to optimisation of advanced ultra-supercritical power plant

机译:无梯度法在先进超超临界电厂优化中的应用

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Thermo-economic analysis and optimisation of thermal systems have become a key solution in providing a better system configuration on the design stage and in modification of already-working installation. Nowadays, there are many commercial software packages allowing one to perform 0-dimensional (OD) analysis of any power plant system. Some of these programs are equipped with their own optimisation tools; however, as is often the case, most of them are not able to carry out a multi-variable optimisation with a large number of decision variables. This paper presents application of the integrated package containing the IPSEpro and MATLAB software for numerical optimisation of advanced ultra-supercritical steam power plant. Searching for new technology makes it necessary to analyse the structure of the thermal cycle. This can be obtained by combining the numerical modelling with the multivariable optimisation of such an object. For that purpose a new concept of 900 MW advanced ultra-supercritical power unit was examined. To increase the efficiency and flexibility of calculations three different non-gradient methods were introduced into the code, i.e., Nelder-Mead, Hooke-Jeeves and Rosenbrock. It was shown that all of the three considered methods can find their usefulness in the optimisation process of power plant thermal cycle giving the rise in the efficiency by about 0.34 percentage points. The additional significant advantage of the Rosenbrock method is the lowest cost of computation, almost independent of the number of decision variables considered. It was shown that the gained efficiency improvement was accompanied with serious intervention into the thermal cycle configuration (in particular into operating pressures) which can lead to necessity of modifying the major power plant components. (C) 2016 Elsevier Ltd. All rights reserved.
机译:热经济分析和热系统优化已成为在设计阶段提供更好的系统配置以及修改已经使用的安装的关键解决方案。如今,有许多商业软件包可用于对任何发电厂系统进行0维(OD)分析。其中一些程序配备了自己的优化工具。但是,通常情况下,它们中的大多数不能使用大量决策变量来执行多变量优化。本文介绍了包含IPSEpro和MATLAB软件的集成软件包在高级超超临界蒸汽电厂数值优化中的应用。寻找新技术使得有必要分析热循环的结构。这可以通过将数值模型与此类对象的多变量优化组合来实现。为此,研究了一种900 MW先进超超临界动力装置的新概念。为了提高计算的效率和灵活性,在代码中引入了三种不同的非梯度方法,即Nelder-Mead,Hooke-Jeeves和Rosenbrock。结果表明,所有三种考虑的方法都可以在电厂热循环的优化过程中找到其用处,从而使效率提高了约0.34个百分点。 Rosenbrock方法的另一个显着优势是计算成本最低,几乎与所考虑的决策变量数量无关。结果表明,所获得的效率提高伴随着对热循环配置(特别是对运行压力)的严重干预,这可能导致需要修改主要的电厂部件。 (C)2016 Elsevier Ltd.保留所有权利。

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