Analysis of the distribution of gas turbine unit operation modes as a tool for improving the stability of the power system

Authors

DOI:

https://doi.org/10.15587/2706-5448.2024.320229

Keywords:

power system, gas turbine units, angular velocity, integral indicator, electricity frequency control

Abstract

The object of research is the optimal distribution of operating modes of gas turbine units (GTU) as a tool for increasing the stability of the Ukrainian power system in crisis situations. Given the challenges caused by the destruction of the energy infrastructure due to massive shelling, ensuring the stability of electricity supply requires the development of new approaches to frequency regulation. The frequency of electricity is a critical parameter that determines the balance between generation and consumption. Its violation can cause serious consequences, such as equipment shutdown and destabilization of the power system.

The work was aimed at creating mathematical models of GTU and the power system, allowing to analyze the change in frequency and power depending on the operating modes. As well as at developing a methodology for optimal load distribution between units under conditions of variable external influences. The work describes in detail the structure of the GTU model in the Simulink environment, which takes into account dynamic processes in gas volumes, the combustion chamber and the rotor of the unit. The proposed methodology is based on the study of two approaches to power distribution: uniform and proportional to the control range of each GTU. A numerical experiment has shown that uniform distribution is better suited for positive disturbances, reducing the integral indicator (integral square error ISE) by 15 % compared to traditional methods, while for negative disturbances, proportional distribution demonstrates a decrease in ISE by 20 %. In the case of positive disturbances, uniform distribution for different combinations of capacities on average shows 0.6 % better control quality than the proportional approach, and for negative disturbances, proportional distribution on average shows 0.25 % better control quality, compared to uniform.

The research results have significant practical potential and can be used to improve the control systems of the power systems of Ukraine in conditions of a shortage of generating capacities and crisis situations.

Author Biographies

Oleksandr Yavorskyi, Odesa Polytechnic National University

Department of Computer Technologies of Automation

Olha Tarakhtii, Odesa Polytechnic National University

PhD

Department of Computer Technologies of Automation

Vladyslav Zhukovskyi, Odesa Polytechnic National University

Department of Computer Technologies of Automation

Viktor Panin, Odesa Polytechnic National University

Department of Computer Technologies of Automation

References

  1. Basok, B., Bazeev, E. (2023). Energy, science and engineering today: the state and challenges of development. Thermophysics and Thermal Power Engineering, 45 (1), 35–45. Available at: https://ihe.nas.gov.ua/index.php/journal/article/view/522
  2. Goldrin, V., Chervonenko, I., Zbinskiy, V., Brodich, R., Slonevskiy, O. (2020). Participation of Ukrainian NPPs in Regulating Frequency and Power in the United Energy System: Problem Analysis and Solutions. Nuclear and Radiation Safety, 1 (85), 50–56. https://doi.org/10.32918/nrs.2020.1(85).05
  3. Bardyk, Y., Bondarenko, O., Bolotnyi, M. (2024). Operational reliability analysis for sustainable energy system planning development. Vidnovluvana Energetika, 4 (79), 46–58. https://doi.org/10.36296/1819-8058.2024.4(79).46-58
  4. Sahu, R., Panigrahi, P. K., Lal, D. K., Dey, B. (2024). Hybrid Intelligent Algorithm Applied to Economic Dispatch of Grid-Connected Microgrid System Considering Static and Dynamic Load Demand. Control Applications in Modern Power Systems, 109–119. https://doi.org/10.1007/978-981-99-9054-2_7
  5. Patra, N., Chatterjee, A., Sahoo, R. K. (2024). Design of Hybrid Energy Storage System Model with Multi-input Converter. Control Applications in Modern Power Systems, 121–131. https://doi.org/10.1007/978-981-99-9054-2_8
  6. Deng, Y., Fang, X., Gao, N., Tan, J. (2024). Multi-Timescale Modeling Framework of Hybrid Power Plants Providing Secondary Frequency Regulation. IEEE Open Access Journal of Power and Energy, 11, 595–609. https://doi.org/10.1109/oajpe.2024.3504835
  7. Zhang, Y., Shotorbani, A. M., Wang, L., Mohammadi-Ivatloo, B. (2021). Distributed Secondary Control of a Microgrid with A Generalized PI Finite-Time Controller. IEEE Open Access Journal of Power and Energy, 8, 57–67. https://doi.org/10.1109/oajpe.2021.3056507
  8. Nagendra, M., Kalyan, Ch. N. S., Rao, R. S. (2024). Comparison of SMES and RFB Performance in Combined Voltage and Frequency Regulation of Multi Source Power System. Control Applications in Modern Power Systems, 91–107. https://doi.org/10.1007/978-981-99-9054-2_6
  9. Yavorskyi, O., Tarakhtii, O., Maksymov, M., Kryvda, V. (2023). Model of Gas Turbine Plant with Concentrated Parameters for Analysis of Dynamic Properties Patterns. Energy Engineering and Control Systems, 9 (2), 105–118. https://doi.org/10.23939/jeecs2023.02.105
  10. Bundiuk, A. M., Tarakhtii, O. S. (2015). O povyshenii kachestva upravleniya moshchnostyu GTU kogeneratsionnoy energeticheskoy ustanovki. Avtomatyzatsiya, kontrol ta upravlinnya: poshuk idey ta rishen. Zbirnyk naukovykh prats I Vseukrayinskoyi naukovo-tekhnichnoyi konferentsiyi v m. Krasnoarmiysku 25–29 travnya 2015 r. Krasnoarmiisk: DVNZ “DonNTU”, 444–447.
  11. GOST 13109-97. Elektricheskaya energiya. Sovmestimost tekhnicheskikh sredstv. Normy kachestva elektricheskoy energii v sistemakh obshchego naznacheniya. (1998). Vved. 1999-01-01. Izdatelstvo standartov, 17.
Analysis of the distribution of gas turbine unit operation modes as a tool for improving the stability of the power system

Downloads

Published

2024-12-31

How to Cite

Yavorskyi, O., Tarakhtii, O., Zhukovskyi, V., & Panin, V. (2024). Analysis of the distribution of gas turbine unit operation modes as a tool for improving the stability of the power system. Technology Audit and Production Reserves, 6(2(80), 50–57. https://doi.org/10.15587/2706-5448.2024.320229

Issue

Section

Systems and Control Processes