آمار

تعداد نشریات26
تعداد شماره‌ها391
تعداد مقالات3,424
تعداد مشاهده مقاله5,261,307
تعداد دریافت فایل اصل مقاله3,597,530
Peddiny, Vijoy Kumar, Datta, Brajagopal, Banerjee, Abhik. (1404). Performance Improvement of Combined Wind Farms Using ANN-Based STATCOM and Grey Wolf Optimization-Based Tuning. سامانه مدیریت نشریات علمی, 13(3), 248-254. doi: 10.22098/joape.2023.13020.1986
Vijoy Kumar Peddiny; Brajagopal Datta; Abhik Banerjee. "Performance Improvement of Combined Wind Farms Using ANN-Based STATCOM and Grey Wolf Optimization-Based Tuning". سامانه مدیریت نشریات علمی, 13, 3, 1404, 248-254. doi: 10.22098/joape.2023.13020.1986
Peddiny, Vijoy Kumar, Datta, Brajagopal, Banerjee, Abhik. (1404). 'Performance Improvement of Combined Wind Farms Using ANN-Based STATCOM and Grey Wolf Optimization-Based Tuning', سامانه مدیریت نشریات علمی, 13(3), pp. 248-254. doi: 10.22098/joape.2023.13020.1986
Peddiny, Vijoy Kumar, Datta, Brajagopal, Banerjee, Abhik. Performance Improvement of Combined Wind Farms Using ANN-Based STATCOM and Grey Wolf Optimization-Based Tuning. سامانه مدیریت نشریات علمی, 1404; 13(3): 248-254. doi: 10.22098/joape.2023.13020.1986

Performance Improvement of Combined Wind Farms Using ANN-Based STATCOM and Grey Wolf Optimization-Based Tuning

Journal of Operation and Automation in Power Engineering
مقاله 9، دوره 13، شماره 3، 2025، صفحه 248-254    اصل مقاله (1.64 M)
نوع مقاله: Research paper
شناسه دیجیتال (DOI): 10.22098/joape.2023.13020.1986
نویسندگان
Vijoy Kumar Peddiny* ؛ Brajagopal Datta؛ Abhik Banerjee
National Institute of Technology Arunachal Pradesh, India.
چکیده
Changes in the electric supply can significantly affect electronic devices since they are very sensitive. Due to a nonlinear system with multiple interconnected and unpredictable demands in the smart grid, the electricity system is facing several issues, including power quality, reactive power management, and voltage drop. To address these problems, a static synchronous compensator (STATCOM) is frequently used to compensate and correct the voltage level at the power bus voltage. In this study, an Artificial Neural Network (ANN) and GWO based controlled STATCOM has been developed to replace the traditional PI based controller and enhance the overall STATCOM performance. The ANN controller is preferred due to its simplicity, adaptability, resilience, and ability to consider the non-linearities of the power grid. To train the classifier offline, data from the PI controller was utilized. The MATLAB/Simulink software was employed to assess the effectiveness of STATCOM on a 25 Km transmission line during increased load and three faults. The combined results of the PI and ANN controllers indicate that the ANN controller significantly improves STATCOM efficiency under different operating conditions. Moreover, the ANN controller outperforms the traditional PI controller in terms of results.
کلیدواژه‌ها
STATCOM؛ ANN؛ smart grid؛ grey wolf
مراجع
  1. N. Ismail and W. N. W. Abdullah, “Enhancement of power quality in distribution system using d-statcom,” in 2010 4th Int. Power Eng. Optim. Conf. (PEOCO), pp. 418–423, IEEE, 2010.
  2. M. Syed, C. Suresh, and S. Sivanagaraju, “Impact of renewable sources on electrical power system,” J. Oper. Autom. Power Eng., vol. 12, no. 3, pp. 261–268, 2024.
  3. B. K. Jadon and P. Jain, “Transient stability improvement of ieee 14 bus system with statcom,” Int. J. Innovative Sci. Res. Technol., vol. 2, no. 7, 2017.
  4. N. Rana and S. Aggarwal, “Reactive power compensation using statcom,” Int. J. Comput. Appl. Technol., vol. 975, p. 8887, 2015.
  5. M. Abbasi and B. Tousi, “A novel controller based on single-phase instantaneous pq power theory for a cascaded pwm transformerless statcom for voltage regulation,” J. Oper. Autom. Power Eng., vol. 6, no. 1, pp. 80–88, 2018.
  6. R. Kazemzadeh, M. Moazen, F. R. AJABI, and M. Vatanpour, “Statcom optimal allocation in transmission grids considering contingency analysis in opf using bf-pso algorithm,” J. Oper. Autom. Power Eng., 2013.
  7. S. U. Shinde, M. Sharmila, R. S. Patil, and D. V. Malkhede, “Performance comparison of pi & ann based statcom for 132 kv transmission line,” in 2016 Int. Conf. Electr. Electron. Optim. Tech. (ICEEOT), pp. 2730–2734, IEEE, 2016.
  8. K. Yanmaz, O. O. Mengi, and E. Sahin, “Advanced statcom control with the optimized foptid-mpc controller,” IETE J. Res., vol. 69, no. 6, pp. 3431–3442, 2023.
  9. A. Kaymanesh, A. Chandra, and K. Al-Haddad, “Model predictive control of mpuc7-based statcom using autotuned weighting factors,” IEEE Trans. Ind. Electron., vol. 69, no. 3, pp. 2447–2458, 2021.
  10. X. Wu, M. Wang, M. Shahidehpour, S. Feng, and X. Chen, “Model-free adaptive control of statcom for sso mitigation in dfig-based wind farm,” IEEE Trans. Power Syst., vol. 36, no. 6, pp. 5282–5293, 2021.
  11. L. Vetoshkin and Z. Müller, “Dynamic stability improvement of power system by means of statcom with virtual inertia,” IEEE Access, vol. 9, pp. 116105–116114, 2021.
  12. R. Sadiq, Z. Wang, C. Chung, C. Zhou, and C. Wang, “A review of statcom control for stability enhancement of power systems with wind/pv penetration: Existing research and future scope,” Int. Trans. Electr. Energy Syst., vol. 31, no. 11, p. e13079, 2021.
  13. J. Ansari, A. R. Abbasi, M. H. Heydari, and Z. Avazzadeh, “Simultaneous design of fuzzy pss and fuzzy statcom controllers for power system stability enhancement,” Alexandria Eng. J., vol. 61, no. 4, pp. 2841–2850, 2022.
  14. M. M. Almelian, I. I. Mohd, A. Z. Ahmad, M. A. Omran, M. Salem, A. Jusoh, and T. Sutikno, “Enhancement of cascaded multi-level vsc statcom performance using ann in the presence of faults,” Int. J. Power Electron. Drive Syst., vol. 11, no. 2, p. 895, 2020.
  15. K. Gurney, An introduction to neural networks. CRC press, 2018.
  16. B. Wu, Y. Lang, N. Zargari, and S. Kouro, Power conversion and control of wind energy systems, vol. 76. John Wiley & Sons, 2011.
  17. M. G. Simoes and F. A. Farret, Alternative energy systems: design and analysis with induction generators, vol. 13. CRC press, 2007.
  18. A. Rashad, S. Kamel, F. Jurado, G. Gharehpetian, and M. A. SM, “The basic principles of wind farms,” Distrib. Gener. Syst., pp. 21–67, 2017.
  19. O. Noureldeen and A. Rashad, “Modeling and investigation of gulf el-zayt wind farm for stability studying during extreme gust wind occurrence,” Ain Shams Eng. J., vol. 5, no. 1, pp. 137–148, 2014.
  20. N. B. Kadandani and Y. A. Maiwada, “Simulation of static synchronous compensator (statcom) for voltage profile improvement,” Simul., vol. 6, no. 7, 2015.
  21. A. Augustine, E. Paul, R. D. Prakash, B. M. Balakrishna, and R. Xavier, “Voltage regulation of statcom using fuzzy self tuning pi controller,” in 2016 Int. Conf. Circuit Power Comput. Technol. (ICCPCT), pp. 1–7, IEEE, 2016.
  22. L. Tey, P. So, and Y. Chu, “Neural network-controlled unified power quality conditioner for system harmonics compensation,” in IEEE/PES Transm. Distrib. Conf. Exhibition, vol. 2, pp. 1038–1043, IEEE, 2002.
  23. I. Alhamrouni, M. Alif, B. Ismail, M. Salem, A. Jusoh, and T. Sutikno, “Load flow based voltage stability indices for voltage stability and contingency analysis for optimal location of statcom in distribution network with integrated distributed generation unit,” TELKOMNIKA (Telecommun. Comput. Electron. Control), vol. 16, no. 5, pp. 2302–2315, 2018.
  24. F. M. Albatsh, S. Ahmad, S. Mekhilef, I. Alhamrouni, and M. A. Hamid, “Power flow control using fuzzy based upfc under different operating conditions,” 2017.
  25. B. Ismail, M. M. Naain, N. I. A. Wahab, L. J. Awalin, I. Alhamrouni, N. H. A. Rahman, and N. F. A. Azmi, “Short circuit current and voltage sag profile studies for optimal location of dg in distribution network,” in AIP Conf. Proc., vol. 2129, AIP Publishing, 2019.
آمار
تعداد مشاهده مقاله: 364
تعداد دریافت فایل اصل مقاله: 410


سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب