آمار

تعداد نشریات31
تعداد شماره‌ها472
تعداد مقالات4,152
تعداد مشاهده مقاله6,934,747
تعداد دریافت فایل اصل مقاله4,680,458
Shayeghi, Hossein, Rahnama, Alireza, Mojarad, Hamed. (1405). Designing a Multi-Objective Optimized Parallel Process Controller for Frequency Stabilization in an Islanded Microgrid. سامانه مدیریت نشریات علمی, 14(3), 209-221. doi: 10.22098/joape.2025.16246.2255
Hossein Shayeghi; Alireza Rahnama; Hamed Mojarad. "Designing a Multi-Objective Optimized Parallel Process Controller for Frequency Stabilization in an Islanded Microgrid". سامانه مدیریت نشریات علمی, 14, 3, 1405, 209-221. doi: 10.22098/joape.2025.16246.2255
Shayeghi, Hossein, Rahnama, Alireza, Mojarad, Hamed. (1405). 'Designing a Multi-Objective Optimized Parallel Process Controller for Frequency Stabilization in an Islanded Microgrid', سامانه مدیریت نشریات علمی, 14(3), pp. 209-221. doi: 10.22098/joape.2025.16246.2255
Shayeghi, Hossein, Rahnama, Alireza, Mojarad, Hamed. Designing a Multi-Objective Optimized Parallel Process Controller for Frequency Stabilization in an Islanded Microgrid. سامانه مدیریت نشریات علمی, 1405; 14(3): 209-221. doi: 10.22098/joape.2025.16246.2255

Designing a Multi-Objective Optimized Parallel Process Controller for Frequency Stabilization in an Islanded Microgrid

Journal of Operation and Automation in Power Engineering
مقاله 6، دوره 14، شماره 3، آبان 2026، صفحه 209-221    اصل مقاله (11.78 M)
نوع مقاله: Research paper
شناسه دیجیتال (DOI): 10.22098/joape.2025.16246.2255
نویسندگان
Hossein Shayeghi* ؛ Alireza Rahnama؛ Hamed Mojarad
Energy Management Research Center, University of Mohaghegh Ardabili, Ardabil, Iran.
چکیده
Load-frequency control plays a critical role in maintaining the stability and reliability of islanded microgrids, where the absence of a large interconnected grid makes frequency regulation more challenging. With the increasing integration of renewable energy sources and energy storage systems, the stochastic and uncertain nature of µGs component’s behavior has amplified the need for advanced LFC mechanisms, making it a focal area of research for decades. This paper introduces a novel parallel process FOPI–FPOD controller optimized for robust LFC and stability in µGs. Employing time and frequency domain objective costs, a multi-objective particle swarm optimization algorithm with nonlinear time-varying coefficients generates a Pareto front, with fuzzy decision-making selecting optimal designs. The proposed controller demonstrates strong robustness by effectively handling uncertainties such as sudden load changes, RES fluctuations, and parametric variations, while maintaining stable frequency regulation. The controller's performance is evaluated under four scenarios: sudden load changes with time delays, uncertainties in RESs, parametric system uncertainties, and energy storage systems' impact. Comparative analysis with PID, FOPID, and PD(1+PI) controllers demonstrates the proposed design's superior stability and resilience, providing a robust solution for frequency stabilization in µGs. Numerical results demonstrate that the proposed FOPI–FOPD controller significantly outperforms traditional methods, achieving lower error indices, reduced frequency deviations, and more efficient utilization of energy storage systems under various scenarios and energy storage systems participation levels. These findings highlight its robust and adaptive performance in ensuring stable and efficient LFC task for an islanded µGs control.
کلیدواژه‌ها
Fractional order controller؛ load-frequency control؛ multi-objective optimization؛ microgrid control
مراجع
  1. J. Heidary, M. Gheisarnejad, H. Rastegar, and M. H. Khooban, “Survey on microgrids frequency regulation: Modeling and control systems,” Electr. Power Syst. Res., vol. 213, p. 108719, 2022.
  2. G. Zhang, H. Zhong, Z. Tan, T. Cheng, Q. Xia, and C. Kang, “Texas electric power crisis of 2021 warns of a new blackout mechanism,” CSEE J. Power Energy Syst., vol. 8, no. 1, pp. 1–9, 2022.
  3. M. N. H. Shazon, A. Jawad, et al., “Frequency control challenges and potential countermeasures in future lowinertia power systems: A review,” Energy Rep., vol. 8, pp. 6191–6219, 2022.
  4. A. Alahmad, A. Saffarian, S. G. Seifossadat, and S. S. Mortazavi, “Frequency and voltage stability of the islanded microgrid with multi dc-bus based-inverter using droop control,” J. Oper. Autom. Power Eng., vol. 13, no. 2, pp. 121–126, 2025.
  5. H. Shayeghi and A. Rahnama, “Multistage pd-(1+ pi) controller design for frequency control of a microgrid considering demand response program,” in Smart Grid 3.0: Comput. Commun. Technol., pp. 241–274, Springer, 2023.
  6. A. Latif, S. S. Hussain, D. C. Das, T. S. Ustun, and A. Iqbal, “A review on fractional order (fo) controllers’ optimization for load frequency stabilization in power networks,” Energy Rep., vol. 7, pp. 4009–4021, 2021.
  7. V. P. Singh, N. Kishor, P. Samuel, and S. R. Mohanty, “Impact of communication delay on frequency regulation in hybrid power system using optimized h-infinity controller,” IETE J. Res., vol. 62, no. 3, pp. 356–367, 2016.
  8. Y. Rao, J. Yang, J. Xiao, B. Xu, W. Liu, and Y. Li, “A frequency control strategy for multimicrogrids with v2g based on the improved robust model predictive control,” Energy, vol. 222, p. 119963, 2021.
  9. A. Abazari, M. M. Soleymani, M. Babaei, M. Ghafouri, H. Monsef, and M. T. Beheshti, “High penetrated renewable energy sources-based aompc for microgrid’s frequency regulation during weather changes, time-varying parameters and generation unit collapse,” IET Gener. Trans. Distrib., vol. 14, no. 22, pp. 5164–5182, 2020.
  10. Y. Mi, X. He, X. Hao, Z. Li, Y. Fu, C. Wang, and
    J. Wang, “Frequency control strategy of multi-area hybrid power system based on frequency division and sliding mode algorithm,” IET Gener. Transm. Distrib., vol. 13, no. 7, pp. 1145–1152, 2019.
  11. K. Liao and Y. Xu, “A robust load frequency control scheme for power systems based on second-order sliding mode and extended disturbance observer,” IEEE Trans. Ind. Inf., vol. 14, no. 7, pp. 3076–3086, 2017.
  12. Y. Arya, “Effect of electric vehicles on load frequency control in interconnected thermal and hydrothermal power systems utilising cf-foidf controller,” Gener. Transm. Distrib., vol. 14, no. 14, pp. 2666–2675, 2020.
  13. S. Padhy and S. Panda, “Application of a simplified grey wolf optimization technique for adaptive fuzzy pid controller design for frequency regulation of a distributed power generation system,” Prot. Control Mod. Power Syst., vol. 6, no. 1, pp. 1–16, 2021.
  14. H. Shayeghi, A. Rahnama, and N. Bizon, “Green microgrid’s lfc using recursive step-by-step optimized multi-stage fuzzy controller with separated inference systems,” Renewable Energy Focus, vol. 51, p. 100625, 2024.
  15. A. Younesi, H. Shayeghi, and P. Siano, “Assessing the use of reinforcement learning for integrated voltage/frequency control in ac microgrids,” Energies, vol. 13, no. 5, p. 1250, 2020.
  16. K. Peddakapu, M. Mohamed, P. Srinivasarao, Y. Arya, P. Leung, and D. Kishore, “A state-of-the-art review on modern and future developments of agc/lfc of conventional and renewable energy-based power systems,” Renewable Energy Focus, vol. 43, pp. 146–171, 2022.
  17. N. Hakimuddin, I. Nasiruddin, T. S. Bhatti, and Y. Arya, “Optimal automatic generation control with hydro, thermal, gas, and wind power plants in 2-area interconnected power system,” Electr. Power Compon. Syst., vol. 48, no. 6-7, pp. 558–571, 2020.
  18. Y. Arya, N. Kumar, P. Dahiya, G. Sharma, E. Çelik, S. Dhundhara, and M. Sharma, “Cascade-iλdµn controller design for agc of thermal and hydro-thermal power systems integrated with renewable energy sources,” IET Renewable Power Gener., vol. 15, no. 3, pp. 504–520, 2021.
  19. K. Peddakapu, P. Srinivasarao, M. Mohamed, Y. Arya, and D. K. Kishore, “Stabilization of frequency in multimicrogrid system using barnacle mating optimizer-based cascade controllers,” Sustainable Energy Technol. Assess., vol. 54, p. 102823, 2022.
  20. R. K. Khadanga, S. Padhy, S. Panda, and A. Kumar, “Design and analysis of multi-stage pid controller for frequency control in an islanded micro-grid using a novel hybrid whale optimization-pattern search algorithm,” Int. J. Numer. Modell. Electron. Networks Devices Fields, vol. 31, no. 5, p. e2349, 2018.
  21. H. Shayeghi, A. Rahnama, N. Takorabet, P. Thounthong, and N. Bizon, “Designing a multi-stage pd (1+ pi) controller for dc–dc buck converter,” Energy Rep., vol. 8, pp. 765–773, 2022.
  22. E. Çelik, N. Öztürk, Y. Arya, and C. Ocak, “(1+ pd)-pid cascade controller design for performance betterment of load frequency control in diverse electric power systems,” Neural Comput. Appl., vol. 33, no. 22, pp. 15433–15456, 2021.
  23. 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.
  24. K. Singh and Y. Arya, “Jaya-itdf control strategy-based frequency regulation of multi-microgrid utilizing energy stored in high-voltage direct current-link capacitors,” Soft Comput., vol. 27, no. 9, pp. 5951–5970, 2023.
  25. H. Shayeghi, A. Rahnama, and N. Bizon, “Tfodn-fopi multistage controller design to maintain an islanded microgrid load-frequency balance considering responsive loads support,” IET Gener. Transm. Distrib., vol. 17, no. 14, pp. 3266–3285, 2023.
  26. H. S. A. Rahnama, “Designing a pd-(1+ pi) controller for lfc of an entirely renewable microgrid using pso-tvac,” Int. J. “Tech. Phys. Probl. Eng.”, vol. 12, no. 45, pp. 19–27, 2020.
  27. A. Latif, S. S. Hussain, D. C. Das, and T. S. Ustun, “Optimization of two-stage ipd-(1+ i) controllers for frequency regulation of sustainable energy based hybrid microgrid network,” Electron., vol. 10, no. 8, p. 919, 2021.
  28. D. K. Gupta, A. K. Soni, A. V. Jha, S. K. Mishra, B. Appasani, A. Srinivasulu, N. Bizon, and P. Thounthong, “Hybrid gravitational–firefly algorithm-based load frequency control for hydrothermal two-area system,” Math., vol. 9, no. 7, p. 712, 2021.
  29. D. K. Gupta, A. V. Jha, B. Appasani, A. Srinivasulu, N. Bizon, and P. Thounthong, “Load frequency control using hybrid intelligent optimization technique for multi-source power systems,” Energies, vol. 14, no. 6, p. 1581, 2021.
  30. S. Nojavan and K. Zare, Demand response application in smart grid. Springer, 2020.
  31. A. A. Rafia and R. Jayaprakash, “Fractional order controller for power control in ac islanded pv microgrid using electric vehicles,” Recent Adv. Electr. Electron. Eng., vol. 17, no. 2, pp. 137–146, 2024.
  32. A. Al-Hinai, H. Alyammahi, and H. H. Alhelou, “Coordinated intelligent frequency control incorporating battery energy storage system, minimum variable contribution of demand response, and variable load damping coefficient in isolated power systems,” Energy Rep., vol. 7, pp. 8030–8041, 2021.
  33. F. R. Badal, P. Das, S. K. Sarker, and S. K. Das, “A survey on control issues in renewable energy integration and microgrid,” Prot. Control Mod. Power Syst., vol. 4, no. 1, pp. 1–27, 2019.
  34. R. Dadi, K. Meenakshy, and S. Damodaran, “A review on secondary control methods in dc microgrid,” J. Oper. Autom. Power Eng., vol. 11, no. 2, pp. 105–112, 2023.
  35. M. Gheisarnejad and M. H. Khooban, “Secondary load frequency control for multi-microgrids: Hil real-time simulation,” Soft Comput., vol. 23, pp. 5785–5798, 2019.
  36. J. Heidary and H. Rastegar, “A novel computational technique using coefficient diagram method for load frequency control in an interconnected power system,” J. Electr. Syst. Inf. Technol., vol. 9, no. 1, p. 22, 2022.
  37. J. Morsali, K. Zare, and M. T. Hagh, “Comparative performance evaluation of fractional order controllers in lfc of two-area diverse-unit power system with considering gdb and grc effects,” J. Electr. Syst. Inf. Technol., vol. 5, no. 3, pp. 708–722, 2018.
  38. R. Alayi, F. Zishan, S. R. Seyednouri, R. Kumar, M. H. Ahmadi, and M. Sharifpur, “Optimal load frequency control of island microgrids via a pid controller in the presence of wind turbine and pv,” Sustainability, vol. 13, no. 19, p. 10728, 2021.
  39. S. Dhundhara, M. Sharma, F. Guéniat, and Y. Arya, “Overview of the renewable-dominated power systems and their frequency regulation issues,” in Adv. Freq. Regul. Strategies Renewable-Dominated Power Syst., pp. 1–19, Elsevier, 2024.
  40. A. Tepljakov and A. Tepljakov, “Fomcon: fractional-order modeling and control toolbox,” Fract.-Order Model. Control Dyn. Syst., pp. 107–129, 2017.
آمار
تعداد مشاهده مقاله: 696
تعداد دریافت فایل اصل مقاله: 984


سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب