Receipt date: 
15.09.2022
Bibliographic description of the article: 

Alekseiuk V.E. Development of software and computer complex for modeling and optimization of operating heat and power installations // Informacionnye tehnologii i matematicheskoe modelirovanie v upravlenii slozhnymi sistemami: ehlektronnyj nauchnyj zhurnal [Information technology and mathematical modeling in the management of complex systems: electronic scientific journal], 2022. No. 3(15). P. 14-23. DOI: 10.26731/2658-3704.2022.3(15).14-23 [Accessed 15/10/22]

Year: 
2022
Journal number: 
УДК: 
004.942; 621.165
DOI: 

10.26731/2658-3704.2022.3(15).14-23

Article File: 
Pages: 
14
23
Abstract: 

The aim of the work is to develop the software-computer complex designed for mathematical modeling, identification of parameters and optimization of operating modes of existing thermal power plants. A modern power unit with a nominal capacity of 225 MW, installed at the Kharanorskaya GRES, was chosen as a prototype. The software and computing complex at this stage is a development environment consisting of eight main computing units connected by information transmission channels. The article provides a brief description of each of the software-computer complex computing units and the software environments in which they are implemented. The software-computer complex allows developing mathematical models of complex thermal power plants and solving large-scale optimization problems. For example, the software-computer complex provides for the identification of the parameters necessary to adjust the coefficients of the model, taking into account the current state of the prototype installation. In addition, a tuned mathematical model of a thermal power plant can be used for parametric optimization of the real mode of operation of a power plant, which reduces fuel costs, or for optimization without involving a real installation. Thus, the software-computer complex presented in the paper offers an effective approach to the study and optimization of existing thermal power plants using the apparatus of mathematical modeling and circuit-parametric optimization.

List of references: 

1. Dekanova N.P., Kler A.M. Problemy optimizacii pri issledovanii teploenergeticheskih ustanovok [Optimization problems in the study of thermal power plants]. Priblizhennye metody analiza i ih prilozheniya [Approximate analysis methods and their applications]. Irkutsk: SEI SB AS USSR, 1989, pp. 22–43. (In Russian).

2. Kler A.M., Dekanova N.P., Mikheev A.V. Zadachi optimizacii pri operativnom upravlenii rezhimami raboty teploelektrocentrali [Optimization tasks at dispatching control of CHP operation modes]. Metody optimizacii i ih prilozheniya: tezisy dokladov 10-j Bajkal'skoj shkoly seminara [Optimization methods and their uses: Abstracts of the 10th Baikal School Workshop]. Irkutsk, 1995, рp. 80–84. (In Russian).

3. Mikheev A.V. Ocenivanie sostoyaniya i identifikaciya parametrov parovogo kotla TP-81 (TEC-9) [State estimation and parameter identification of the steam boiler TP-81 (CHP-9)]. Sistemnye issledovaniya v energetike: trudy molodyh uchenyh ISEM SO RAN [Systems researches in the energy sector. Works of young scholars of ISEM SB RAS]. Irkutsk, 1999, Issue 29, pp. 143–148. (In Russian).

4. Dekanova N.P., Mikheev A.V. Obnaruzhenie plohih izmerenij parametrov funkcionirovaniya teploelektrocentrali [Detection of bad measurements of CHP operation parameters]. Metody optimizacii i ih prilozheniya. Materialy 11 Bajkal'skoj shkoly seminara [Optimization methods and their uses. Materials of 11th Baikal School Workshop]. Irkutsk, 1998, pp. 79–82. (In Russian).

5. Kler A.M., Maximov A.S., Stepanova E.L. Metodika postroyeniya bystrodeystvuyushchikh matematicheskikh modeley turbin dlya zadach operativnoy optimizatsii rezhimov raboty TEC [The method of constructing high-speed mathematical models of turbines for problems of operational optimization of operating modes of CHP]. Novosibirsk: Novosibirsk State Technical University Publ., 2005, vol. 9, pp. 85–99. (In Russian).

6. 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, рp. 143–150.

7. Kler A.M., Maximov A.S., Stepanova E.L. Operativnaya otsenka sostoyaniya osnovnogo oborudovaniya TES [Operational assessment of the condition of the main equipment of thermal power plants]. Elektricheskiye stantsii – Power plants, 2011, vol. 4, рp. 2–6.

8. Kler A.M., Maximov A.S., Stepanova E.L. Optimizing the Operating Modes of Cogeneration Stations Taking Actual State of Main Equipment into Account. Thermal Engineering, 2009, vol. 56, no. 6, pр. 500–505.

9. 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.

10. 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.

11. 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.

12. Kler A.M., Dekanova N.P., Tyurina E.A., Korneeva Z.R. Thermal power systems: optimization studies. Novosibirsk: Nauka; 2005, 236 р. (In Russ.)

13. Kler A.M., Dekanova N.P., Skripkin S.K. Et al. Mathematical modeling and optimization in the problems of thermal power plant operational control. Novosibirsk: Nauka, Siberian enterprise RAS; 1997, 120 р. (In Russ.)

14. Kler A.M., Zharkov P.V., Epishkin N.O. Parametric optimization of supercritical power plants using gradient methods // Energy. 2019. Vol. 189. https://doi.org/10.1016/j.energy.2019.116230

15. Alexeyuk V.E. An improved technique for identification of mathematical models of thermal power equipment // Energy Systems Research. 2018. Vol. 1. No. 3. P. 53–60. https://doi.org/10.25729/esr.2018.03.0007

16. Kler A. M., Alekseyuk V. E. Improving the accuracy of identifying mathematical model parameters of the existing thermal power equipment. Nauchnyi vestnik Novosibirskogo gosudarstvennogo tekhnicheskogo universiteta = Science bulletin of the Novosibirsk state technical university. 2019;3:57-76. (In Russ.). https://doi.org/10.17212/1814-1196-2019-3-57-76

17. Alekseiuk V. Improving the efficiency of the three-stage technique of mathematical model identification of complex thermal power equipment // ENERGY-21 – Sustainable Development & Smart Management: E3S Web of Conferences. 2020. Vol. 209. https://doi.org/10.1051/e3sconf/202020903002