Comparison and Ranking of Steam-Turbine Installations of Thermal Power-Stations’ Power-Generating Units by Working Efficiency

Farhadzadeh, E M; Muradaliyev, A Z; Farzaliyev, Y Z; Abdullayeva, S. A.

doi:10.1134/s0040601518100026

Cited by 5 publications

(2 citation statements)

References 2 publications

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“…Известно, что если коэффициент линейной корреляции не превышает своего критического значения для малочисленных выборок ТЭП, это еще не означает, что взаимосвязь недостаточна [5]. Такое возможно при нелинейной корреляционной связи ТЭП.…”

Section: традиционный подход к контролю достоверности предположения оunclassified

“…Взаимосвязанные факторы удобны в эксплуатации, так как в определенной степени защищают от неточностей регистрации и расчета ТЭП. Но для количественной оценки интегрального показателя эффективности работы [5] они нежелательны, поскольку искажают оценку интегрального показателя. Казалось бы, в чем проблема?…”

Section: Introductionunclassified

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Certainty of Linear Interrelation of Technical and Economic Parameters of Power Units of 300 МWt Thermal Power Stations

et al. 2020

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For 300 MWt gas-and-oil-burning power units which durability exceeds the estimated one, when comparing and ranking, it is necessary to take into account not only efficiency indicators (for example, the specific consumption of conventional fuel), but also indicators of reliability and safety. In practice, this is exactly what is being done. However, it is being done just by intuition. An intuitive approach solves this problem, but not always certainly. It would seem that there is a quite fully developed mathematical apparatus for regression and correlation analysis, a set of algorithms and calculation programs. But there is one specific feature that, if it is not taken into account, further increases the risk of an erroneous decision. The fact is that the average monthly data on the technical and economic indicators of power units do not belong to the samples from the general population that correspond to the normal distribution law, the latter being a necessary condition for using such methods. This is a non-random sample from a finite set of multidimensional data. Naturally, the methods of classification of multidimensional data are not simple; they require the development of special calculation programs that recommend solutions for maintenance and repair, load distribution, etc. The article presents only one, but very important issue of the problem, viz. the assessment of the reliability of the assumption about the linear relationship of technical and economic indicators. Its solution will simultaneously demonstrate difficulties in comparing the efficiency of aging power units. It is noted that the known and practically used method for assessing the reliability of the linear regression equation, based on the construction of a “confidence corridor” or “uncertainty band”, does not allow one to answer the main question, viz. whether the relationship of the considered technical and economic indicators corresponds to a linear one. A new method for evaluating this relationship is proposed, based on constructing a fiducial domain of possible regression line implementations. It is shown that for small values of the number of sample implementations, a significant part of independent samples has a correlation coefficient exceeding 0.9.

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Section: традиционный подход к контролю достоверности предположения оunclassified

Section: Introductionunclassified

Certainty of Linear Interrelation of Technical and Economic Parameters of Power Units of 300 МWt Thermal Power Stations

et al. 2020

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Analysis of the stage group efficiency of steam turbine based on the unified model for coal-fired power unit

Guo

Chang

Zhang

et al. 2019

IOP Conf. Ser.: Earth Environ. Sci.

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During actual operation of the unit, the group efficiency inevitably deviates from the design value and influences the unit heat consumption rate. This paper conduct a series of turbine stage efficiency analysis of the influence of unit energy consumption based on the basic equations for economic analysis, combined with the variable condition of steam turbine model. 1000 MW unit produced by DFSTW as the research object, this paper calculates the load of several groups of different stage group efficiency, and the amount of change of the unit coal consumption. Summarizing, this paper analyses the stage group efficiency influence on the power supply coal consumption rate of the unit, and the variation of stage group efficiency influence on the unit energy consumption with the load change. The results can provide great reference for the operation optimization of thermal power unit.

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Assessment of technical condition of condensers of TPP steam turbines according to the data of the power equipment parameters monitoring system

Sultanov

Boldyrev

Menshikov

et al. 2021

2021 3rd International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)

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Comparison and Ranking of Steam-Turbine Installations of Thermal Power-Stations’ Power-Generating Units by Working Efficiency

Cited by 5 publications

References 2 publications

Certainty of Linear Interrelation of Technical and Economic Parameters of Power Units of 300 МWt Thermal Power Stations

Certainty of Linear Interrelation of Technical and Economic Parameters of Power Units of 300 МWt Thermal Power Stations

Analysis of the stage group efficiency of steam turbine based on the unified model for coal-fired power unit

Assessment of technical condition of condensers of TPP steam turbines according to the data of the power equipment parameters monitoring system

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