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首页> 外文期刊>Energy Conversion & Management >Estimation of operating parameters of a reheat regenerative power cycle using simplex search and differential evolution based inverse methods
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Estimation of operating parameters of a reheat regenerative power cycle using simplex search and differential evolution based inverse methods

机译：使用单纯形搜索和基于差分演化的逆方法估算再热再生功率循环的运行参数

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摘要

In this study, simplex search method (SSM) and a differential evolution (DE) based inverse algorithm are applied to estimate fuel flow rate (FFR), boiler pressure (BP) and steam turbine (ST) inlet temperature (STTT) of a ST based power cycle. First a theoretical model simulates the cycle performance in terms of net power, efficiency (energy and exergy) and total irreversibility at various FFRs, BPs and STITs. The forward model based results show that the net power increases linearly with FFR while also producing more irreversible losses at higher FFR. The cycle performance also improves at higher BP and STTT. The inverse analysis shows that the DE based method is more appropriate than the SSM where the searching range of parameters is specified and parameter estimation is done from the range of specified parameter values. In SSM, the estimation depends upon the chosen initial guess values and convergence criterion sometimes is not fulfilled with some guessed values of the parameters. Both the inverse methods, however give multiple combinations of parameters and thus provides sufficient scope at the hands of the designer to select the appropriate combinations of parameters required for meeting a particular power requirement.
机译：在这项研究中，采用单纯形搜索方法（SSM）和基于微分演化（DE）的逆算法来估算ST的燃料流量（FFR），锅炉压力（BP）和蒸汽轮机（ST）入口温度（STTT）基于电源循环。首先，一个理论模型根据各种FFR，BP和STIT的净功率，效率（能量和火用）和总不可逆性来模拟循环性能。基于正向模型的结果表明，净功率随FFR线性增加，而在较高FFR时也会产生更多不可逆损耗。在较高的BP和STTT时，循环性能也会提高。反分析表明，基于DE的方法比SSM更合适，在SSM中，指定了参数的搜索范围，并从指定的参数值的范围进行了参数估计。在SSM中，估计取决于所选的初始猜测值，并且某些参数的某些猜测值有时无法满足收敛准则。然而，两种反方法都给出了参数的多种组合，因此在设计人员的手中提供了足够的范围来选择满足特定功率要求所需的参数的适当组合。

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