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Comparative analysis of optimisation methods applied to thermal cycle of a coal fired power plant

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Kowalczyk Ł. , Elsner W.

tom Vol. 34, no. 4

175--186

The paper presents a thermodynamic optimization of 900 MW power unit for ultra-supercritical parameters, modified according to AD700 concept. The aim of the study was to verify two optimisation methods, i.e., the finding the minimum of a constrained nonlinear multivariable function (fmincon) and the Nelder-Mead method with their own constrain functions. The analysis was carried out using IPSEpro software combined with MAT-LAB, where gross power generation efficiency was chosen as the objective function. In comparison with the Nelder-Mead method it was shown that using fmincon function gives reasonable results and a significant reduction of computational time. Unfortunately, with the increased number of decision parameters, the benefit measured by the increase in efficiency is becoming smaller. An important drawback of fmincon method is also a lack of repeatability by using different starting points. The obtained results led to the conclusion, that the Nelder-Mead method is a better tool for optimisation of thermal cycles with a high degree of complexity like the coal-fired power unit.

Evaluation of IPSEpro extended by MATLAB applied to steam turbine cycle analysis

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Elsner W. , Kowalczyk Ł. , Marek M.

2015

tom Vol. 95, nr 3

192--200

This paper investigates thermodynamic optimization of a supercritical coal fired power plant. The main goal of the study was to assess IPSEpro software combined with MATLAB environment, aimed at multiobjective optimization of the thermal cycle in a relatively short timeframe. To verify the methodology, calculations were carried out using the IPSEpro (standalone) approach and IPSEpro-MATLAB with fmincon function. The decision functions were: thermal efficiency, gross power efficiency and total power load. It was shown that the results obtained with the IPSEpro standalone approach are similar to those obtained with the IPSEpro- MATLAB package. This means that the IPSEpro-MATLAB approach can be successfully used in future calculations. The evident benefit of the newly developed methodology is a significant reduction in computational time compared to the referenced method. It was shown that the computational time depends on both the methodology and the chosen objective function. The results show that the detected optimal point also depends on the shape of the objective function distribution. Optimization of the thermodynamic parameters of the sample ultra-supercritical power plant enables an increase in output power from 900 MW to 909.44 MW.