Thermal Power Plant Steam Turbine Output Operational Characteristics Change Probabilistic Model Driven by the Second Derivation Control Actions

Sultanov Makhsud Mansurovich; Trukhanov Vladimir Mikhailovich; Gorban Yuliya Anatolyevna

doi:doi:10.11648/j.epes.20190806.12

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Thermal Power Plant Steam Turbine Output Operational Characteristics Change Probabilistic Model Driven by the Second Derivation Control Actions

Sultanov Makhsud Mansurovich, Trukhanov Vladimir Mikhailovich, Gorban Yuliya Anatolyevna

Published in American Journal of Electrical Power and Energy Systems (Volume 8, Issue 6)

Received: 1 August 2019 Accepted: 29 October 2019 Published: 25 November 2019

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Abstract

The subject of the research is thermal station power equipment, in particular steam turbines and steam turbine plant support equipment. In the modern context, when working lifespan of the power equipment outreached the limit, thus the goal is to assure it performance and availability for producing enough energy and heat. To reach the goal it’s necessary to design and implement the probabilistic models and techniques for power equipment reliability under present day conditions. The probabilistic second derivative output parameters change model of power equipment is first developed by the authors and is the scientific novelty of the research. In the paper the assumptions and suppostitions on which the model is based are described. The practical implication of the model consists of capability of rational maintenance and repair operation term estimation of thermal power plant steam turbines. The model is based on the mathematical statistics methods, probability theory and matrix calculus. The probabilistic model allows forecasting the output characteristics change in time and control actions explicitly. The example of output characteristics change for long term utilization is given. During the research the statistical power equipment elements failure and error material has been acquired and presented in relative failure and error share diagram. The internal and external technical and operational factors influencing the failure statistics are determined. For quantitive reliability estimation of power equipment the set of primary indices, influencing turbine performance and reliability, is presented.

Published in	American Journal of Electrical Power and Energy Systems (Volume 8, Issue 6)
DOI	10.11648/j.epes.20190806.12
Page(s)	152-157
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

Reliability Indices, Probabilistic Model, Control Actions, Turbine, Output Characteristics, Control Parameters

References

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[3]	Sultanov M. M. Assessment of reliability, extension of service life and optimization of repair of thermal power plant equipment and power systems. –Volzhsky: Volzhsky branch of MPEI, 2016.–100 p.
[4]	Repair of steam turbines: a training manual / V. N. Rodin [et al.]; under the general. ed. Yu. M. Brodova, V. N. Homeland. Ekaterinburg: USTU-UPI, 2002.
[5]	Truhanov V. M. Reliability in technology. M.: Edition «Spektr», 2017. – 634 p.
[6]	ISO 153-34.17.440-2003. Instructions for extending the life of steam turbines beyond the park resource. M.: TISC ORGRES, 2004.
[7]	Pozdyshev A. A., Rabenko V. S. About damage to steam turbines of TPPs // Vestnik IGEU. 2004. Issue. 2. pp. 19–23.
[8]	Failure analysis to blades of steam turbines at normal conditions of operations and resonance / A. L. Tejeda [et al.] // Advanced Materials Research. 2014. Vols. 891-892. P. 54–59.
[9]	SultanovM. M., TruhanovV. M. Mathematical model of change of output operational characteristics of steam turbines of TPP //The reliability and security of energy. –2017. – T. 10, №1. – pp. 42-47.
[10]	Truhanov V. M., Sultanov M. M., Kukhtik M. P., GorbanYu. A. Mathematical model of predicting of failures by statistical method at testing of prototypes of heat-power equipment of power supply systems of TEHS// The reliability and security of energy. – 2018. – T. 11, № 3. – pp. 235-240.
[11]	Truhanov V. M. Mathematical models of the growth of the reliability level of a technical system taking into account control actions expressed in the form of probabilities and imposed restrictions // Problems of Mechanical Engineering and Machine Reliability. – 2016. No. 4. pp. 39–43.
[12]	Ventzel E. S. Probability Theory: A Textbook. M.: Higher school, 2001.
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[14]	GartungYu. A. A study of the development of dynamical systems due to some differential programs. M.: Nauka, 1984.
[15]	Sultanov M. M., Truhanov V. M., Arakelyan E. K., Kulikova M. A. Methods of achieving and ensuring a high level of reliability and safety of power equipment of TPP, HPP, NPP at all stages of the life cycle, ISSN: 2312-055X, 2018. – 6-14 p.
[16]	Chervonyj A. A., Luk'yashchenko V. I., Kotin L. V. Reliability of complex systems. M.: Engineering, 1972.
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[18]	Mashkov A. V. Economics of combined production of heat and electricity: Tutorial. Volzhskiy: Volzhsky branch of MPEI, 2012.
[19]	Sultanov M. M., Truhanov V. M. Mathematical model of changes in the output performance of steam turbines of thermal power plants // Reliability and safety of energy. – 2017. pp. 81-86.
[20]	Truhanov V. N., Sultanov M. M. Estimation technique of corrective effects for forecasting of reliability of the designed and operated objects of the generating systems // Journal of Physics: Conference Series. – 2017. pp. 01-13.

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Sultanov Makhsud Mansurovich, Trukhanov Vladimir Mikhailovich, Gorban Yuliya Anatolyevna. (2019). Thermal Power Plant Steam Turbine Output Operational Characteristics Change Probabilistic Model Driven by the Second Derivation Control Actions. American Journal of Electrical Power and Energy Systems, 8(6), 152-157. https://doi.org/10.11648/j.epes.20190806.12

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ACS Style

Sultanov Makhsud Mansurovich; Trukhanov Vladimir Mikhailovich; Gorban Yuliya Anatolyevna. Thermal Power Plant Steam Turbine Output Operational Characteristics Change Probabilistic Model Driven by the Second Derivation Control Actions. Am. J. Electr. Power Energy Syst. 2019, 8(6), 152-157. doi: 10.11648/j.epes.20190806.12

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AMA Style

Sultanov Makhsud Mansurovich, Trukhanov Vladimir Mikhailovich, Gorban Yuliya Anatolyevna. Thermal Power Plant Steam Turbine Output Operational Characteristics Change Probabilistic Model Driven by the Second Derivation Control Actions. Am J Electr Power Energy Syst. 2019;8(6):152-157. doi: 10.11648/j.epes.20190806.12

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@article{10.11648/j.epes.20190806.12,
  author = {Sultanov Makhsud Mansurovich and Trukhanov Vladimir Mikhailovich and Gorban Yuliya Anatolyevna},
  title = {Thermal Power Plant Steam Turbine Output Operational Characteristics Change Probabilistic Model Driven by the Second Derivation Control Actions},
  journal = {American Journal of Electrical Power and Energy Systems},
  volume = {8},
  number = {6},
  pages = {152-157},
  doi = {10.11648/j.epes.20190806.12},
  url = {https://doi.org/10.11648/j.epes.20190806.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.epes.20190806.12},
  abstract = {The subject of the research is thermal station power equipment, in particular steam turbines and steam turbine plant support equipment. In the modern context, when working lifespan of the power equipment outreached the limit, thus the goal is to assure it performance and availability for producing enough energy and heat. To reach the goal it’s necessary to design and implement the probabilistic models and techniques for power equipment reliability under present day conditions. The probabilistic second derivative output parameters change model of power equipment is first developed by the authors and is the scientific novelty of the research. In the paper the assumptions and suppostitions on which the model is based are described. The practical implication of the model consists of capability of rational maintenance and repair operation term estimation of thermal power plant steam turbines. The model is based on the mathematical statistics methods, probability theory and matrix calculus. The probabilistic model allows forecasting the output characteristics change in time and control actions explicitly. The example of output characteristics change for long term utilization is given. During the research the statistical power equipment elements failure and error material has been acquired and presented in relative failure and error share diagram. The internal and external technical and operational factors influencing the failure statistics are determined. For quantitive reliability estimation of power equipment the set of primary indices, influencing turbine performance and reliability, is presented.},
 year = {2019}
}

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TY - JOUR
T1 - Thermal Power Plant Steam Turbine Output Operational Characteristics Change Probabilistic Model Driven by the Second Derivation Control Actions
AU - Sultanov Makhsud Mansurovich
AU - Trukhanov Vladimir Mikhailovich
AU - Gorban Yuliya Anatolyevna
Y1 - 2019/11/25
PY - 2019
N1 - https://doi.org/10.11648/j.epes.20190806.12
DO - 10.11648/j.epes.20190806.12
T2 - American Journal of Electrical Power and Energy Systems
JF - American Journal of Electrical Power and Energy Systems
JO - American Journal of Electrical Power and Energy Systems
SP - 152
EP - 157
PB - Science Publishing Group
SN - 2326-9200
UR - https://doi.org/10.11648/j.epes.20190806.12
AB - The subject of the research is thermal station power equipment, in particular steam turbines and steam turbine plant support equipment. In the modern context, when working lifespan of the power equipment outreached the limit, thus the goal is to assure it performance and availability for producing enough energy and heat. To reach the goal it’s necessary to design and implement the probabilistic models and techniques for power equipment reliability under present day conditions. The probabilistic second derivative output parameters change model of power equipment is first developed by the authors and is the scientific novelty of the research. In the paper the assumptions and suppostitions on which the model is based are described. The practical implication of the model consists of capability of rational maintenance and repair operation term estimation of thermal power plant steam turbines. The model is based on the mathematical statistics methods, probability theory and matrix calculus. The probabilistic model allows forecasting the output characteristics change in time and control actions explicitly. The example of output characteristics change for long term utilization is given. During the research the statistical power equipment elements failure and error material has been acquired and presented in relative failure and error share diagram. The internal and external technical and operational factors influencing the failure statistics are determined. For quantitive reliability estimation of power equipment the set of primary indices, influencing turbine performance and reliability, is presented.
VL - 8
IS - 6
ER -

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Author Information

Sultanov Makhsud Mansurovich

Department of Heat Engineering, Volzhsky Branch of Moscow Power Engineering Institute, Volzhsky, Russia
Trukhanov Vladimir Mikhailovich

Department of Heat Engineering, Volzhsky Branch of Moscow Power Engineering Institute, Volzhsky, Russia
Gorban Yuliya Anatolyevna

Department of Heat Engineering, Volzhsky Branch of Moscow Power Engineering Institute, Volzhsky, Russia

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APA Style

Sultanov Makhsud Mansurovich, Trukhanov Vladimir Mikhailovich, Gorban Yuliya Anatolyevna. (2019). Thermal Power Plant Steam Turbine Output Operational Characteristics Change Probabilistic Model Driven by the Second Derivation Control Actions. American Journal of Electrical Power and Energy Systems, 8(6), 152-157. https://doi.org/10.11648/j.epes.20190806.12

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ACS Style

Sultanov Makhsud Mansurovich; Trukhanov Vladimir Mikhailovich; Gorban Yuliya Anatolyevna. Thermal Power Plant Steam Turbine Output Operational Characteristics Change Probabilistic Model Driven by the Second Derivation Control Actions. Am. J. Electr. Power Energy Syst. 2019, 8(6), 152-157. doi: 10.11648/j.epes.20190806.12

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AMA Style

Sultanov Makhsud Mansurovich, Trukhanov Vladimir Mikhailovich, Gorban Yuliya Anatolyevna. Thermal Power Plant Steam Turbine Output Operational Characteristics Change Probabilistic Model Driven by the Second Derivation Control Actions. Am J Electr Power Energy Syst. 2019;8(6):152-157. doi: 10.11648/j.epes.20190806.12

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@article{10.11648/j.epes.20190806.12,
  author = {Sultanov Makhsud Mansurovich and Trukhanov Vladimir Mikhailovich and Gorban Yuliya Anatolyevna},
  title = {Thermal Power Plant Steam Turbine Output Operational Characteristics Change Probabilistic Model Driven by the Second Derivation Control Actions},
  journal = {American Journal of Electrical Power and Energy Systems},
  volume = {8},
  number = {6},
  pages = {152-157},
  doi = {10.11648/j.epes.20190806.12},
  url = {https://doi.org/10.11648/j.epes.20190806.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.epes.20190806.12},
  abstract = {The subject of the research is thermal station power equipment, in particular steam turbines and steam turbine plant support equipment. In the modern context, when working lifespan of the power equipment outreached the limit, thus the goal is to assure it performance and availability for producing enough energy and heat. To reach the goal it’s necessary to design and implement the probabilistic models and techniques for power equipment reliability under present day conditions. The probabilistic second derivative output parameters change model of power equipment is first developed by the authors and is the scientific novelty of the research. In the paper the assumptions and suppostitions on which the model is based are described. The practical implication of the model consists of capability of rational maintenance and repair operation term estimation of thermal power plant steam turbines. The model is based on the mathematical statistics methods, probability theory and matrix calculus. The probabilistic model allows forecasting the output characteristics change in time and control actions explicitly. The example of output characteristics change for long term utilization is given. During the research the statistical power equipment elements failure and error material has been acquired and presented in relative failure and error share diagram. The internal and external technical and operational factors influencing the failure statistics are determined. For quantitive reliability estimation of power equipment the set of primary indices, influencing turbine performance and reliability, is presented.},
 year = {2019}
}

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