آمار

تعداد نشریات31
تعداد شماره‌ها463
تعداد مقالات4,084
تعداد مشاهده مقاله6,853,373
تعداد دریافت فایل اصل مقاله4,614,502
Meetei, Oinam Manganleiba, Prakash, Marimuthu, Kumar, Rajagopal. (1405). Robust Control Design for Voltage and Frequency Fluctuation Control under Substantial Load Variation of Islanded Microgrid System. سامانه مدیریت نشریات علمی, 14(2), 131-141. doi: 10.22098/joape.2024.14841.2136
Oinam Manganleiba Meetei; Marimuthu Prakash; Rajagopal Kumar. "Robust Control Design for Voltage and Frequency Fluctuation Control under Substantial Load Variation of Islanded Microgrid System". سامانه مدیریت نشریات علمی, 14, 2, 1405, 131-141. doi: 10.22098/joape.2024.14841.2136
Meetei, Oinam Manganleiba, Prakash, Marimuthu, Kumar, Rajagopal. (1405). 'Robust Control Design for Voltage and Frequency Fluctuation Control under Substantial Load Variation of Islanded Microgrid System', سامانه مدیریت نشریات علمی, 14(2), pp. 131-141. doi: 10.22098/joape.2024.14841.2136
Meetei, Oinam Manganleiba, Prakash, Marimuthu, Kumar, Rajagopal. Robust Control Design for Voltage and Frequency Fluctuation Control under Substantial Load Variation of Islanded Microgrid System. سامانه مدیریت نشریات علمی, 1405; 14(2): 131-141. doi: 10.22098/joape.2024.14841.2136

Robust Control Design for Voltage and Frequency Fluctuation Control under Substantial Load Variation of Islanded Microgrid System

Journal of Operation and Automation in Power Engineering
مقاله 7، دوره 14، شماره 2، تیر 2026، صفحه 131-141    اصل مقاله (3.01 M)
نوع مقاله: Research paper
شناسه دیجیتال (DOI): 10.22098/joape.2024.14841.2136
نویسندگان
Oinam Manganleiba Meetei* 1؛ Marimuthu Prakash2؛ Rajagopal Kumar3
1Department of Electrical Engineering, Manipur Technical University, Imphal, Manipur- 795004, India.
2Department of Electrical and Electronics Engineering, National Institute of Technology, Nagaland, Chumukeidma- 797103, India.
3Department of Electronics and Instrumentation Engineering, National Institute of Technology, Nagaland, Chumukeidma- 797103, India.
چکیده
The use of standalone microgrids is rapidly increasing due to their advantages in terms of environmental, economic, and technical aspects. However, the microgrid is vulnerable to frequency and voltage oscillation because of its separation from the main grid, the uncertainties of loads, and the use of uncertain renewable energy sources such as wind and solar energy. Therefore, the need for a dynamic controller arises to regulate voltage and frequency. This paper presents Double Integral Sliding Mode Control (DISMC) and Artificial Neural Network (ANN) based on the Feed Forward Bayesian Regularization (FF-BR) algorithm. DISMC is developed to control voltage and steady-state error. The ANN based on the FF-BR algorithm is adapted to regulate the current. These controllers enhance the performance of droop control for inverter base Distributed Generation (DG) units in an islanded microgrid system. The controllers are designed based on the islanded microgrid dynamic model and load variations. The suggested control algorithm is implemented in Matlab/Simulink. The performance of the controller is evaluated under variable loads and uncertainties. The results are then compared with droop control with the Proportionate Integral (PI) controller. The performance of the proposed controllers is seen to outdo the existing PI method in the regulation of voltage and frequency.
کلیدواژه‌ها
Distributed generation؛ double integral sliding mode control؛ droop control؛ bayesian regularization؛ photo voltaic
مراجع
  1. G. De Vanna, M. Longo, F. Foiadelli, M. Panteli, and M. Galeela, “Reliability and resilience analysis and comparison of off-grid microgrids,” in 2020 55th Int. Univ. Power Eng. Conf., pp. 1–6, IEEE, 2020.
  2. K. Matharani and H. Jariwala, “Stability analysis of microgrid with passive, active, and dynamic load,” J. Oper. Autom. Power Eng., vol. 11, no. 4, pp. 295–306, 2023. 
  3. P. Arul, V. K. Ramachandaramurthy, and R. Rajkumar, “Control strategies for a hybrid renewable energy system: A review,” Renewable Sustainable Energy Rev., vol. 42, pp. 597–608, 2015.
  4. H. Karimi-Davijani and O. Ojo, “Dynamic operation and control of a multi-dg unit standalone microgrid,” in ISGT 2011, pp. 1–7, IEEE, 2011.
  5. H. Bevrani, M. Watanabe, and Y. Mitani, “Micro-grid controls, standard handbook for electrical engineers,” in in Sect. 16, 16th Ed. In: Wayne Beaty H, editor. New York: McGraw Hill, USA, pp. 160–176, IEEE, 2012.
  6. H. Bevrani and S. Shokoohi, “An intelligent droop control for simultaneous voltage and frequency regulation in islanded microgrids,” IEEE Trans. Smart Grid, vol. 4, no. 3, pp. 1505–1513, 2013.
  7. H. Shayeghi and A. Rahnama, “Frequency regulation of a standalone interconnected ac microgrid using innovative multistage tdf (1+ fopi) controller,” J. Oper. Autom. Power Eng., vol. 12, no. 2, pp. 121–133, 2024.
  8. M. Gholami, A. Pisano, S. M. Hosseini, and E. Usai, “Distributed finite-time secondary control of islanded microgrids by coupled sliding-mode technique,” in 2020 25th IEEE Int. Conf. Emerging Technol. Factory Autom., vol. 1, pp. 454–461, IEEE, 2020.
  9. J. M. Guerrero, J. C. Vasquez, J. Matas, L. G. De Vicuña, and M. Castilla, “Hierarchical control of droop-controlled ac and dc microgrids—a general approach toward standardization,” IEEE Trans. Ind. Electron., vol. 58, no. 1, pp. 158–172, 2010.
  10. B. Ning, Q.-L. Han, and L. Ding, “Distributed secondary control of ac microgrids with external disturbances and directed communication topologies: A full-order slidingmode approach,” IEEE/CAA J. Autom. Sin., vol. 8, no. 3, pp. 554–564, 2020.
  11. S. Ullah, L. Khan, I. Sami, and J.-S. Ro, “Voltage/frequency regulation with optimal load dispatch in microgrids using smc based distributed cooperative control,” IEEE Access, vol. 10, pp. 64873–64889, 2022.
  12. M. Jafari, V. Sarfi, A. Ghasemkhani, H. Livani, L. Yang, H. Xu, and R. Koosha, “Adaptive neural network based intelligent secondary control for microgrids,” in 2018 IEEE Texas Power Energy Conf., pp. 1–6, IEEE, 2018.
  13. S. Shokoohi, S. Golshannavaz, R. Khezri, and H. Bevrani, “Intelligent secondary control in smart microgrids: an on-line approach for islanded operations,” Optim. Eng., vol. 19, pp. 917–936, 2018.
  14. N. M. Dehkordi, H. R. Baghaee, N. Sadati, and J. M. Guerrero, “Distributed noise-resilient secondary voltage and frequency control for islanded microgrids,” IEEE Trans. Smart Grid, vol. 10, no. 4, pp. 3780–3790, 2018.
  15. E. Sohrabzadi, M. Gheisarnejad, Z. Esfahani, and M. H. Khooban, “A novel intelligent ultra-local model control-based type-ii fuzzy for frequency regulation of multi-microgrids,” Trans. Inst. Meas. Control, vol. 44, no. 5, pp. 1134–1148, 2022.
  16. N.-L. Mo, Z.-H. Guan, D.-X. Zhang, X.-M. Cheng, Z.-W. Liu, and T. Li, “Data-driven based optimal distributed frequency control for islanded ac microgrids,” Int. J. Electr. Power Energy Syst., vol. 119, p. 105904, 2020.
  17. J. Liu, Q. Yao, and Y. Hu, “Model predictive control for load frequency of hybrid power system with wind power and thermal power,” Energy, vol. 172, pp. 555–565, 2019.
  18. J. Pahasa and I. Ngamroo, “Coordinated control of wind turbine blade pitch angle and phevs using mpcs for load frequency control of microgrid,” IEEE Syst. J., vol. 10, no. 1, pp. 97–105, 2014.
  19. S. K. Pandey, S. R. Mohanty, N. Kishor, and J. P. Catalão, “Frequency regulation in hybrid power systems using particle swarm optimization and linear matrix inequalities based robust controller design,” Int. J. Electr. Power Energy Syst.,
    vol. 63, pp. 887–900, 2014.
  20. A. A. El-Fergany and M. A. El-Hameed, “Efficient frequency controllers for autonomous two-area hybrid microgrid system using social-spider optimiser,” IET Gener. Transm. Distrib., vol. 11, no. 3, pp. 637–648, 2017.
  21. J. Guo, “Application of full order sliding mode control based on different areas power system with load frequency control,” ISA Trans., vol. 92, pp. 23–34, 2019.
  22. S. Roozbehani, M. T. Hagh, and S. G. Zadeh, “Frequency control of islanded wind-powered microgrid based on coordinated robust dynamic droop power sharing,” IET Gener. Transm. Distrib., vol. 13, no. 21, pp. 4968–4977, 2019.
  23. T. Vigneysh and N. Kumarappan, “Autonomous operation and control of photovoltaic/solid oxide fuel cell/battery energy storage based microgrid using fuzzy logic controller,” Int. J. Hydrogen Energy, vol. 41, no. 3, pp. 1877–1891, 2016.
  24.  T.-C. Ou and C.-M. Hong, “Dynamic operation and control of microgrid hybrid power systems,” Energy, vol. 66, pp. 314–323, 2014.
  25. W.-M. Lin, C.-M. Hong, C.-H. Huang, and T.-C. Ou, “Hybrid control of a wind induction generator based on grey–elman neural network,” IEEE Trans. Control Syst. Technol., vol. 21, no. 6, pp. 2367–2373, 2013.
  26. J.-H. Jung, S. Ahmed, and P. Enjeti, “Pem fuel cell stack model development for real-time simulation applications,” IEEE Trans. Ind. Electron., vol. 58, no. 9, pp. 4217–4231, 2010.
  27. T.-C. Ou and C.-M. Hong, “Dynamic operation and control of microgrid hybrid power systems,” Energy, vol. 66, pp. 314–323, 2014.
  28. T. Vigneysh and N. Kumarappan, “Artificial neural network based droop-control technique for accurate power sharing in an islanded microgrid,” Int. J. Comput. Intell. Syst., vol. 9, no. 5, pp. 827–838, 2016.
  29. S. Ahmadi, S. Shokoohi, and H. Bevrani, “A fuzzy logicbased droop control for simultaneous voltage and frequency regulation in an ac microgrid,” Int. J. Electr. Power Energy Syst., vol. 64, pp. 148–155, 2015.
  30. A. Alahmad, A. Saffarian, S. Seifossadat, and S. Mortazavi, “Frequency and voltage stability of the islanded microgrid with multi dc-bus based-inverter using droop control,” J. Oper. Autom. Power Eng., 2023.
  31. S.-C. Chen and C.-Y. Kuo, “Design and implementation of double-integral sliding-mode controller for brushless direct current motor speed control,” Adv. Mech. Eng., vol. 9, no. 11, p. 1687814017737724, 2017.
  32. P. Tahmasebi and A. Hezarkhani, “Application of a modular feedforward neural network for grade estimation,” Nat. Resour. Res., vol. 20, pp. 25–32, 2011.
  33. A. Sadighi, Artificial Intelligence to Determine Sulfate Solubility. PhD thesis, 10 2021.
آمار
تعداد مشاهده مقاله: 404
تعداد دریافت فایل اصل مقاله: 405


سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب