Improving the Efficiency of the Three-Stage Technique of Mathematical Model Identification of Complex Thermal Power Equipment

Vitalii Alekseiuk

doi:10.1051/e3sconf/202020903002

All issues

Volume 209 (2020)

E3S Web Conf., 209 (2020) 03002

References

Open Access

Issue		E3S Web Conf. Volume 209, 2020 ENERGY-21 – Sustainable Development & Smart Management


Article Number		03002
Number of page(s)		9
Section		Session 2. Advanced Energy Technologies: Clean, Resource-Saving, and Renewable Energy
DOI		https://doi.org/10.1051/e3sconf/202020903002
Published online		23 November 2020

Tarazanov I.G. Results of the work of the coal industry in Russia for January-December 2018 // Coal, 2019. - No. 3. - pp. 64 - 79. DOI: http://dx.doi.org/10.18796/0041-5790-2019-3-64-79 (in Russian) [Google Scholar]
Coal industry in Russia [site]. [2019]. URL: https://wtcmoscow.ru/services/international-partnership/analitycs/ugolnaya-otrasl-rossii/ (in Russian) [Google Scholar]
Statistical Review of World Energy: [site]. [2019]. URL: http://www.bp.com/en/global/corporate/energy-economics/statistical-review-of-world-energy.html [Google Scholar]
Ghosh T.K., Prelas M.A. Energy Resources and Systems: Volume 1: Fundamentals and Non-Renewable Resources. –Springer Science + Business Media B.V. 2009. – pp. 159 – 279. [Google Scholar]
Bruce G. Miller. Coal Energy Systems // Elsevier Academic Press, 2005. – P. 526. [Google Scholar]
Kler A.M., Dekanova N.P., Korneeva ZR, Mikheev A.V. Mathematical modeling and optimization of CHP operation modes // New technologies and scientific developments in power engineering (operation, repair, non-traditional energy sources): Theses of reports. - Novosibirsk: Union of Scientific and Engineering Societies of the USSR. Novosibirsk Regional Administration of the All-Union Scientific and Technical Society of Power Engineers and Electrical Engineers, 1994. - issue 2. - pp.27-29. (in Russian) [Google Scholar]
Kler A.M., Dekanova N.P., Skripkin S.K. and other. Mathematical modeling and optimization in the problems of operational control of thermal power plants. - Novosibirsk: Science. Sib. enterprise RAS, 1997. – P. 120. (in Russian) [Google Scholar]
Kler A.M., Dekanova N.P., Skripkin S.K. Mathematical and software support for the algorithm for correcting the measured parameters for calculating technical and economic indicators at CHP / Novosibirsk: Science. Sib. published. firm RAS, 1997. – P. 120. (in Russian) [Google Scholar]
Kler A.M., Dekanova N.P., Stepanova E.L. Optimization of operating parameters and composition of operating equipment of large energy sources // Izv. RAS. Energy, 2004. - No. 6. - pp. 43-52. (in Russian) [Google Scholar]
Kler A.M., Dekanova N.P., Korneeva ZR, Mikheev A.V. Optimization of modes in the operational management of CHP // Energy of Russia in the transition period: problems and scientific foundations of development and management. / Ed. A.P. Merenkov. - Novosibirsk: Science. Sib. published. firm, 1996. - P.141-146. (in Russian) [Google Scholar]
Kler A.M., Dekanova N.P., Mikheev A.V. Numerical methods for diagnostics of TPP equipment // Thermophysics and aeromechanics, 2000. - V.7. - №3. - pp. 443-450. (in Russian) [Google Scholar]
Kler A.M., Maksimov A.S., Stepanova E.L. Methods for constructing high-speed mathematical models of turbines for problems of operational optimization of operating modes of a CHP plant // Energosystems, power plants and their units: collection of articles. scientific. works / ed. acad. RAS Nakoryakova V.E. - Novosibirsk: Publishing house of NSTU, 2005. - Issue 9 – pp. 85-99. (in Russian) [Google Scholar]
Kler A.M., Maximov A.S., Stepanova E.L. et al: Optimizing the Operating Modes of Cogeneration Stations Taking Actual State of Main Equipment into Account, Thermal Engineering, 2009, Vol. 56, No. 6, pp. 500-505. [CrossRef] [Google Scholar]
Claire A.M., Maksimov A.S., Stepanova E.L., Zharkov P.V. Rapid assessment of the state of the main equipment of TPPs // Electric power stations, 2011. - No.4. - P. 2-6. (in Russian) [Google Scholar]
Kler, A.M., Maximov, A.S., Stepanova, E.L. High-speed mathematical models of cogeneration steam turbines: optimization of operation in heat and power plants, Thermophysics and Aeromechanics, 2006, Vol. 13, No.1, pp. 143-150. [Google Scholar]
Manuel Chica, José Barranquero, Tomasz Kajdanowicz. Multimodal optimization: An effective framework for model calibration // Information Sciences. – Volume 375, 1 January 2017, Pages 79-97. https://doi.org/10.1016/j.ins.2016.09.048. [Google Scholar]
Karim Salahshoor, Majid Soleimani Khoshro, Mojtaba Kordestani. Fault detection and diagnosis of an industrial steam turbine using a distributed configuration of adaptive neuro-fuzzy inference systems // Simulation Modelling Practice and Theory. – Volume 19, Issue 5, May 2011, Pages 1280-1293. [Google Scholar]
Xiaolong Jiang, Pei Liu, Zheng Li. Data reconciliation for steam turbine on-line performance monitoring // Applied Thermal Engineering. – Volume 70, Issue 1, 5 September 2014, Pages 122-130. https://doi.org/10.1016/j.applthermaleng.2014.05.007. [Google Scholar]
Alekseyuk V.E., Maksimov A.S., Safronov P.G. An improved technique for identifying mathematical models of heat power equipment. Irkutsk State Technical University Bulletin. - 2019. –№23 (3). - pp. 503-515. DOI: 10.21285/1814-3520-2019-3-503-515. (in Russian) [CrossRef] [Google Scholar]
Kler A.M., Alekseyuk V.E. An effective method of tuning mathematical models of heat and power equipment to its actual state. Bulletin of the Perm National Research Polytechnic University. Electrical engineering, information technology, control systems. - 2019. - No. 31. - S. 136-159. (in Russian) [Google Scholar]
V.E. Alexeyuk, “An Improved Technique For Identification Of Mathematical Models Of Thermal Power Equipment,” Energy Systems Research, Vol. 1, No. 3, pp. 53–60, 2018, http://dx.doi.org/10.25729/esr.2018.03.0007. [Google Scholar]
Kler A.M., Alekseyuk V.E. Increasing the accuracy of identifying the parameters of mathematical models of the existing heat and power equipment // Scientific Bulletin of NSTU. - 2019. - No. 3 (76). - pp. 57–76. - DOI: 10.17212/1814-1196-2019-3-57-76. (in Russian) [Google Scholar]
Aleksandr Kler, Vitalii Alekseiuk and Aleksei Maksimov, «An improved technique for identification of mathematical model parameters of thermal power equipment and assessment of its performance», International Conference of Young Scientists “Energy Systems Research 2019”, Vol. 114, 2019, DOI: https://doi.org/10.1051/e3sconf/201911406009. [Google Scholar]
Kobzar A.I. Applied mathematical statistics. For engineers and scientists. – 2nd corrected edition. – М.: FIZMATLIT, 2012. – 816 p. (in Russian) [Google Scholar]
Alexeyuk V.E. Improvement of the technique for identification of mathematical models based on the test results of a condensing turbine unit. Systems Research in Energy. Proceedings of Young Scholars at Melentiev Energy Systems Institute, Siberian Branch, Russian Academy of Sciences. Irkutsk: ISEM SO RAN, 2017, issue 47, pp. 42 – 55. (in Russian) [Google Scholar]
Alexeyuk V.E., Maximov А.S. Identification of the mathematical model of a condensing turbine unit based on test results / Proceedings of the All-Russian Scientific and Practical Conference with international participation “Improvement of energy production and utilization efficiency under Siberian conditions”, Irkutsk: Izd-vo IrNITU, pp. 284 – 288, April 24 – 27l, 2017. (in Russian) [Google Scholar]
Kler A.M., Mai V.A., Skripkin S.K.: A system for computer-based creation of static and dynamic mathematical models of thermal power plants, Proceedings, 2^nd International forum, Expert systems and computer simulation in energy engineering, Erlangen, Germany, March 17-20, 1992, pp. 22-4-1 – 22-4-3. [Google Scholar]

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[1] Tarazanov I.G. Results of the work of the coal industry in Russia for January-December 2018 // Coal, 2019. - No. 3. - pp. 64 - 79. DOI: http://dx.doi.org/10.18796/0041-5790-2019-3-64-79 (in Russian) [Google Scholar]

[2] Coal industry in Russia [site]. [2019]. URL: https://wtcmoscow.ru/services/international-partnership/analitycs/ugolnaya-otrasl-rossii/ (in Russian) [Google Scholar]

[3] Statistical Review of World Energy: [site]. [2019]. URL: http://www.bp.com/en/global/corporate/energy-economics/statistical-review-of-world-energy.html [Google Scholar]

[4] Ghosh T.K., Prelas M.A. Energy Resources and Systems: Volume 1: Fundamentals and Non-Renewable Resources. –Springer Science + Business Media B.V. 2009. – pp. 159 – 279. [Google Scholar]

[5] Bruce G. Miller. Coal Energy Systems // Elsevier Academic Press, 2005. – P. 526. [Google Scholar]

[6] Kler A.M., Dekanova N.P., Korneeva ZR, Mikheev A.V. Mathematical modeling and optimization of CHP operation modes // New technologies and scientific developments in power engineering (operation, repair, non-traditional energy sources): Theses of reports. - Novosibirsk: Union of Scientific and Engineering Societies of the USSR. Novosibirsk Regional Administration of the All-Union Scientific and Technical Society of Power Engineers and Electrical Engineers, 1994. - issue 2. - pp.27-29. (in Russian) [Google Scholar]

[7] Kler A.M., Dekanova N.P., Skripkin S.K. and other. Mathematical modeling and optimization in the problems of operational control of thermal power plants. - Novosibirsk: Science. Sib. enterprise RAS, 1997. – P. 120. (in Russian) [Google Scholar]

[8] Kler A.M., Dekanova N.P., Skripkin S.K. Mathematical and software support for the algorithm for correcting the measured parameters for calculating technical and economic indicators at CHP / Novosibirsk: Science. Sib. published. firm RAS, 1997. – P. 120. (in Russian) [Google Scholar]

[9] Kler A.M., Dekanova N.P., Stepanova E.L. Optimization of operating parameters and composition of operating equipment of large energy sources // Izv. RAS. Energy, 2004. - No. 6. - pp. 43-52. (in Russian) [Google Scholar]

[10] Kler A.M., Dekanova N.P., Korneeva ZR, Mikheev A.V. Optimization of modes in the operational management of CHP // Energy of Russia in the transition period: problems and scientific foundations of development and management. / Ed. A.P. Merenkov. - Novosibirsk: Science. Sib. published. firm, 1996. - P.141-146. (in Russian) [Google Scholar]

[11] Kler A.M., Dekanova N.P., Mikheev A.V. Numerical methods for diagnostics of TPP equipment // Thermophysics and aeromechanics, 2000. - V.7. - №3. - pp. 443-450. (in Russian) [Google Scholar]

[12] Kler A.M., Maksimov A.S., Stepanova E.L. Methods for constructing high-speed mathematical models of turbines for problems of operational optimization of operating modes of a CHP plant // Energosystems, power plants and their units: collection of articles. scientific. works / ed. acad. RAS Nakoryakova V.E. - Novosibirsk: Publishing house of NSTU, 2005. - Issue 9 – pp. 85-99. (in Russian) [Google Scholar]

[13] Kler A.M., Maximov A.S., Stepanova E.L. et al: Optimizing the Operating Modes of Cogeneration Stations Taking Actual State of Main Equipment into Account, Thermal Engineering, 2009, Vol. 56, No. 6, pp. 500-505. [CrossRef] [Google Scholar]

[14] Claire A.M., Maksimov A.S., Stepanova E.L., Zharkov P.V. Rapid assessment of the state of the main equipment of TPPs // Electric power stations, 2011. - No.4. - P. 2-6. (in Russian) [Google Scholar]

[15] Kler, A.M., Maximov, A.S., Stepanova, E.L. High-speed mathematical models of cogeneration steam turbines: optimization of operation in heat and power plants, Thermophysics and Aeromechanics, 2006, Vol. 13, No.1, pp. 143-150. [Google Scholar]

[16] Manuel Chica, José Barranquero, Tomasz Kajdanowicz. Multimodal optimization: An effective framework for model calibration // Information Sciences. – Volume 375, 1 January 2017, Pages 79-97. https://doi.org/10.1016/j.ins.2016.09.048. [Google Scholar]

[17] Karim Salahshoor, Majid Soleimani Khoshro, Mojtaba Kordestani. Fault detection and diagnosis of an industrial steam turbine using a distributed configuration of adaptive neuro-fuzzy inference systems // Simulation Modelling Practice and Theory. – Volume 19, Issue 5, May 2011, Pages 1280-1293. [Google Scholar]

[18] Xiaolong Jiang, Pei Liu, Zheng Li. Data reconciliation for steam turbine on-line performance monitoring // Applied Thermal Engineering. – Volume 70, Issue 1, 5 September 2014, Pages 122-130. https://doi.org/10.1016/j.applthermaleng.2014.05.007. [Google Scholar]

[19] Alekseyuk V.E., Maksimov A.S., Safronov P.G. An improved technique for identifying mathematical models of heat power equipment. Irkutsk State Technical University Bulletin. - 2019. –№23 (3). - pp. 503-515. DOI: 10.21285/1814-3520-2019-3-503-515. (in Russian) [CrossRef] [Google Scholar]

[20] Kler A.M., Alekseyuk V.E. An effective method of tuning mathematical models of heat and power equipment to its actual state. Bulletin of the Perm National Research Polytechnic University. Electrical engineering, information technology, control systems. - 2019. - No. 31. - S. 136-159. (in Russian) [Google Scholar]

[21] V.E. Alexeyuk, “An Improved Technique For Identification Of Mathematical Models Of Thermal Power Equipment,” Energy Systems Research, Vol. 1, No. 3, pp. 53–60, 2018, http://dx.doi.org/10.25729/esr.2018.03.0007. [Google Scholar]

[22] Kler A.M., Alekseyuk V.E. Increasing the accuracy of identifying the parameters of mathematical models of the existing heat and power equipment // Scientific Bulletin of NSTU. - 2019. - No. 3 (76). - pp. 57–76. - DOI: 10.17212/1814-1196-2019-3-57-76. (in Russian) [Google Scholar]

[23] Aleksandr Kler, Vitalii Alekseiuk and Aleksei Maksimov, «An improved technique for identification of mathematical model parameters of thermal power equipment and assessment of its performance», International Conference of Young Scientists “Energy Systems Research 2019”, Vol. 114, 2019, DOI: https://doi.org/10.1051/e3sconf/201911406009. [Google Scholar]

[24] Kobzar A.I. Applied mathematical statistics. For engineers and scientists. – 2nd corrected edition. – М.: FIZMATLIT, 2012. – 816 p. (in Russian) [Google Scholar]

[25] Alexeyuk V.E. Improvement of the technique for identification of mathematical models based on the test results of a condensing turbine unit. Systems Research in Energy. Proceedings of Young Scholars at Melentiev Energy Systems Institute, Siberian Branch, Russian Academy of Sciences. Irkutsk: ISEM SO RAN, 2017, issue 47, pp. 42 – 55. (in Russian) [Google Scholar]

[26] Alexeyuk V.E., Maximov А.S. Identification of the mathematical model of a condensing turbine unit based on test results / Proceedings of the All-Russian Scientific and Practical Conference with international participation “Improvement of energy production and utilization efficiency under Siberian conditions”, Irkutsk: Izd-vo IrNITU, pp. 284 – 288, April 24 – 27l, 2017. (in Russian) [Google Scholar]

[27] Kler A.M., Mai V.A., Skripkin S.K.: A system for computer-based creation of static and dynamic mathematical models of thermal power plants, Proceedings, 2^nd International forum, Expert systems and computer simulation in energy engineering, Erlangen, Germany, March 17-20, 1992, pp. 22-4-1 – 22-4-3. [Google Scholar]