فصلنامه علمی کارافن

فصلنامه علمی کارافن

ارائه یک ساختار کنترلری اینرسی مجازی به‌منظور ارتقای پایداری فرکانسی در شبکه‌های با اینرسی پایین و نفوذ بالای منابع انرژی تجدیدپذیر

نوع مقاله : مقاله پژوهشی (کاربردی)

نویسنده
گروه مهندسی برق، دانشگاه ملی مهارت، تهران، ایران.
چکیده
با گسترش ادغام منابع انرژی تجدیدپذیر در شبکه‌های برق مدرن، عدم قطعیت‌های مرتبط با آن ها چالش‌هایی به‌ویژه در کنترل نوسانات فرکانس در ریزشبکه‌های ایزوله ایجاد کرده است. برای مقابله با این چالش‌ها، این پژوهش یک روش نوآورانه را که ترکیبی از یک کنترل‌کننده تناسبی-انتگرالی غیرخطی بهینه در حلقه کنترل اینرسی مجازی است را با نامONPIVIC معرفی می‌کند. این روش جدید کنترل اینرسی مجازی با هدف بهبود کنترل فرکانس در ریزشبکه‌های بااینرسی پایین با سطح متغیر منابع انرژی تجدیدپذیر طراحی شده است. استراتژی پیشنهادی شامل طراحی بهینه مبتنی بر کنترل‌کننده تناسبی-انتگرالی غیرخطی و حلقه کنترل اینرسی مجازی از طریق الگوریتم بهینه‌سازی حسابی است. این روش به واحد کنترل اینرسی مجازی اجازه می‌دهد تا سیستم ذخیره‌سازی انرژی مبتنی بر اینورتر را کنترل کند، درحالی‌که سطوح مختلف اینرسی را شبیه‌سازی کرده و به نوسانات تولید و بار پاسخ دهد. برای مقایسه عملکرد کنترل کننده پیشنهادی، دو روش کنترل جایگزین دیگر با نام های کنترل‌کننده اینرسی مجازی بهینه (OVIC) و کنترل‌کننده PI مبتنی بر اینرسی مجازی بهینه (PIVIC)نیز در نظر گرفته شده‌اند. اثربخشی کنترل‌کننده پیشنهادی از طریق پنج سناریو مختلف مورد ارزیابی قرار گرفت و نتایج شبیه سازی ها نشان می‌دهد که کنترل‌کننده ONPIVIC پیشنهادی باعث بهبود پایداری فرکانس و کارایی کنترل در ریزشبکه‌های دارای منابع انرژی تجدیدپذیر شده و گذار به استفاده از تولید انرژی پاک‌تر را تسهیل می‌کند.
کلیدواژه‌ها
موضوعات

عنوان مقاله English

A Virtual Inertia Control Structure for Enhancing Frequency Stability in Low-Inertia Power Systems with High Renewable Energy Penetration

نویسنده English

َAbbas-Ali Zamani
Department of Electrical Engineering, Technical and Vocational University (TVU), Tehran, Iran.
چکیده English

With the increasing incorporation of renewable energy sources into modern power systems, the resulting uncertainties present significant challenges, especially in controlling frequency fluctuations within isolated microgrids. To address these challenges, this research introduces an innovative approach called ONPIVIC, which combines an optimal Nonlinear Proportional-Integral (ONPI) controller within the virtual inertia (VI) control loop. This novel Virtual Inertia Control (VIC) method is designed to enhance frequency control in low-inertia microgrids with varying levels of renewable energy sources. The proposed strategy involves an optimal design based on a nonlinear PI controller and a virtual inertia control loop using the Arithmetic Optimization Algorithm (AOA). This approach enables the VIC unit to regulate the inverter-based Energy Storage System (ESS) while simulating different inertia levels and responding effectively to fluctuations in generation and load. To compare the performance of the proposed controller, two alternative control methods, namely the Optimal Virtual Inertia Controller (OVIC) and the Optimal PI-based Virtual Inertia Controller (PIVIC), are also considered. The effectiveness of the proposed controller is evaluated through five different scenarios that account for sudden changes in power demand and generation in isolated mode. The results demonstrate that the proposed ONPIVIC controller enhances frequency stability and control efficiency in microgrids incorporating renewable energy sources, facilitating a smoother transition to cleaner energy generation.

کلیدواژه‌ها English

Virtual inertia
nonlinear proportional-integral controller
microgrid
renewable energy sources
optimal control
[1] Abdelghany, M. B., Mariani, V., Liuzza, D., & Glielmo, L. (2024). Hierarchical model predictive control for islanded and grid-connected microgrids with wind generation and hydrogen energy storage systems. International Journal of Hydrogen Energy51, 595-610. https://doi.org/10.1016/j.ijhydene.2023.08.056
[2] Abbasi, S. M., Nafar, M., & Simab, M. (2021). Decentralized Control of Bidirectional Converters in a Grid-connected DC Microgrid to Increase System Stability Using a Genetic-Neural Algorithm. Karafan Journal18(3), 187-205. https://doi.org/ 10.48301/kssa.2021.261332.1319. (In Persian)
[3] Taheri, N., Akbari, E., Askari, N., Ahmad Tajik, V., Orojlo, H., Kazemi, M. A., & Ghasemi, G. (2022). Supplementary damping controllers design in vsc hvdc systems and wind farms to improve stability and energy conversion in wind turbine using proposed genetic-bat algorithm. Karafan Journal19(1), 357-382. https://doi.org/ 10.48301/kssa.2022.293314.1603. (In Persian)
[4] Hemmatpour, M. H., & Bahreini, M. (2024). Optimum Placement of Electric Vehicle Battery Replacement Stations for Energy Management of Distribution Networks in the Presence of Renewable Energy Sources. Karafan Journal21(1), 217-239. https://doi.org/10.48301/kssa.2023.402164.2600. (In Persian)
[5] Wang, H., Wang, M., Cheng, Q., Lv, S., & Ji, X. (2022). Modeling simulation and inverter control strategy research of microgrid in grid-connected and island mode. Energy Reports8, 206-218. https://doi.org/10.1016/j.egyr.2022.09.117.
[6] Saleem, M. I., & Saha, S. (2024). Assessment of frequency stability and required inertial support for power grids with high penetration of renewable energy sources. Electric Power Systems Research229, 110184. https://doi.org/10.1016/j.epsr.2024.110184.
[7] Hamanah, W. M., Shafiullah, M., Alhems, L. M., Alam, M. S., & Abido, M. A. (2024). Realization of Robust Frequency Stability in Low-Inertia Islanded Microgrids with Optimized Virtual Inertia Control. IEEE Access. https://doi.org/10.1109/ACCESS.2024.3391890.
[8] Kumari, P., & Kumar, R. (2025). Adaptive virtual inertia-based optimal enhancement of micro-grid dynamics with integrated renewable energy sources. International Journal of Ambient Energy46(1), 2456762. https://doi.org/10.1080/01430750.2025.2456762.
[9] Amiri, F., & Moradi, M. (2020). Designing a new robust control for virtual inertia control in the microgrid with regard to virtual damping. Journal of Electrical and Computer Engineering Innovations (JECEI)8(1), 53-70. https://doi.org/10.22061/jecei.2020.6913.347.
[10] Cheema, K. M., Chaudhary, N. I., Tahir, M. F., Mehmood, K., Mudassir, M., Kamran, M., ... & Elbarbary, Z. S. (2022). Virtual synchronous generator: Modifications, stability assessment and future applications. Energy Reports, 8, 1704-1717. https://doi.org/10.1016/j.egyr.2021.12.064.
[11] Fregelius, M., & Lundin, U. (2023). Performance evaluation of a supercapacitor based synthetic inertia system using frequency locked loop and real time frequency derivative estimation. International Journal of Electrical Power & Energy Systems, 144, 108554. https://doi.org/10.1016/j.ijepes.2022.108554.
[12] Debanjan, M., & Karuna, K. (2022). An overview of renewable energy scenario in India and its impact on grid inertia and frequency response. Renewable and Sustainable Energy Reviews, 168, 112842. https://doi.org/10.1016/j.rser.2022.112842
[13] Jafari, M., Gharehpetian, G. B., & Anvari-Moghaddam, A. (2024). On the Role of Virtual Inertia Units in Modern Power Systems: A Review of Control Strategies, Applications and Recent Developments. International Journal of Electrical Power & Energy Systems, 159, 110067. https://doi.org/10.1016/j.ijepes.2024.110067.
[14] Awda, Y., & Alowaifeer, M. (2024). Adaptive optimization of virtual synchronous generator based on fuzzy logic control and differential evolution. Ain Shams Engineering Journal, 15(4), 102606. https://doi.org/10.1016/j.asej.2023.102606.
[15] Oshnoei, S., Aghamohammadi, M. R., Oshnoei, S., Sahoo, S., Fathollahi, A., & Khooban, M. H. (2023). A novel virtual inertia control strategy for frequency regulation of islanded microgrid using two-layer multiple model predictive control. Applied Energy, 343, 121233. https://doi.org/10.1016/j.apenergy.2023.121233.
[16] Amiri, F. (2025). Designing a robust method to improve virtual inertia control performance in islanded microgrid. AUT Journal of Electrical Engineering. https://doi.org/10.22060/eej.2025.23655.5628.
[17] Afifi, M. A., Marei, M. I., & Mohamad, A. M. (2024). Reinforcement-Learning-Based Virtual Inertia Controller for Frequency Support in Islanded Microgrids. Technologies, 12(3), 39. https://doi.org/10.3390/technologies12030039.
[18] Vijayan, M., Udumula, R. R., Mahto, T., Lokeshgupta, B., Goud, B. S., Kalyan, C. N. S., ... & Twala, B. (2022). Optimal pi-controller-based hybrid energy storage system in dc microgrid. Sustainability, 14(22), 14666. https://doi.org/10.3390/su142214666.
[19] Elshenawy, M., Fahmy, A., Elsamahy, A., Kandil, S. A., & El Zoghby, H. M. (2022). Optimal power management of interconnected microgrids using virtual inertia control technique. Energies, 15(19), 7026. https://doi.org/10.3390/en15197026.
[20] Saxena, P., Singh, N., & Pandey, A. K. (2022). Enhancing the transient performance and dynamic stability of microgrid using PI inertia injection controller. International Journal of Electrical Power & Energy Systems, 134, 107334. https://doi.org/10.1016/j.ijepes.2021.107334.
[21] Song, Y. D. (2018). Control of nonlinear systems via PI, PD and PID: Stability and performance. CRC Press. https://doi.org/10.1201/9780429455070.
[22] Akbari, M., Zamani, A. A., Seifi, M., Pantò, B., Falborski, T., & Jankowski, R. (2025). An optimal nonlinear fractional order controller for passive/active base isolation building equipped with friction-tuned mass dampers. Communications in Nonlinear Science and Numerical Simulation, 140, 108405. https://doi.org/10.1016/j.cnsns.2024.108405.
[23] Abualigah, L., Diabat, A., Mirjalili, S., Abd Elaziz, M., & Gandomi, A. H. (2021). The arithmetic optimization algorithm. Computer methods in applied mechanics and engineering, 376, 113609. https://doi.org/10.1016/j.cma.2020.113609.
[24] Mandal, R., & Chatterjee, K. (2021). Virtual inertia emulation and RoCoF control of a microgrid with high renewable power penetration. Electric Power Systems Research, 194, 107093. https://doi.org/10.1016/j.epsr.2021.107093.
[25] Magdy, G., Shabib, G., Elbaset, A. A., & Mitani, Y. (2019). A novel coordination scheme of virtual inertia control and digital protection for microgrid dynamic security considering high renewable energy penetration. IET Renewable Power Generation, 13(3), 462-474. https://doi.org/10.1049/iet-rpg.2018.5513.
[26] Safiullah and Hote, Y. V. (2024). Enhancement of virtual inertia via delay designed GADRC in hybrid microgrid with communication delay. Sustainable Energy, Grids and Networks, 39, 101411. https://doi.org/10.1016/j.segan.2024.101411.
دوره 23، شماره 1
فنی و مهندسی
بهار 1405
صفحه 311-334

  • تاریخ دریافت 29 بهمن 1403
  • تاریخ بازنگری 16 اردیبهشت 1404
  • تاریخ پذیرش 23 آذر 1404