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Palaniyappan, S., Rajan Singaravel, M.M.. (1404). Multi-Population African Vultures Optimized Fractional Derivative Virtual Inertia and Damping Control for Frequency Stabilization in Islanded Microgrid Network. سامانه مدیریت نشریات علمی, (), -. doi: 10.22098/joape.2025.17332.2357
S. Palaniyappan; M.M. Rajan Singaravel. "Multi-Population African Vultures Optimized Fractional Derivative Virtual Inertia and Damping Control for Frequency Stabilization in Islanded Microgrid Network". سامانه مدیریت نشریات علمی, , , 1404, -. doi: 10.22098/joape.2025.17332.2357
Palaniyappan, S., Rajan Singaravel, M.M.. (1404). 'Multi-Population African Vultures Optimized Fractional Derivative Virtual Inertia and Damping Control for Frequency Stabilization in Islanded Microgrid Network', سامانه مدیریت نشریات علمی, (), pp. -. doi: 10.22098/joape.2025.17332.2357
Palaniyappan, S., Rajan Singaravel, M.M.. Multi-Population African Vultures Optimized Fractional Derivative Virtual Inertia and Damping Control for Frequency Stabilization in Islanded Microgrid Network. سامانه مدیریت نشریات علمی, 1404; (): -. doi: 10.22098/joape.2025.17332.2357

Multi-Population African Vultures Optimized Fractional Derivative Virtual Inertia and Damping Control for Frequency Stabilization in Islanded Microgrid Network

Journal of Operation and Automation in Power Engineering
مقالات آماده انتشار، اصلاح شده برای چاپ، انتشار آنلاین از تاریخ 17 آذر 1404    اصل مقاله (7.44 M)
نوع مقاله: Research paper
شناسه دیجیتال (DOI): 10.22098/joape.2025.17332.2357
نویسندگان
S. Palaniyappan* ؛ M.M. Rajan Singaravel
Department of Electrical and Electronics Engineering, National Institute of Technology Puducherry, Karaikal, India.
چکیده
The growing integration of renewable energy sources (RESs) has reduced the rotational inertia of power grids, traditionally supplied by large rotating generators. This reduction makes grids more vulnerable to frequency variations. To address this challenge, this paper introduces a new fractional derivative virtual inertia and damping control (FDVIDC) strategy for enhancing frequency stability in an islanded microgrid (IMG) network. A fractional-order proportional integral derivative (FOPID) controller is employed to regulate the active power output in a biopower-dominated microgrid system. The parameters of both the FDVIDC and FOPID controllers are optimized using a new meta-heuristic algorithm called the Multi-population African Vultures Optimization (MAVO), with the integral time absolute error (ITAE) criterion as the performance index. The effectiveness of the proposed MAVO algorithm is demonstrated using standard benchmark test functions and is compared with the original African Vultures Optimization (AVO), Whale Optimization Algorithm (WOA), and Particle Swarm Optimization (PSO). Simulation results confirm that MAVO achieves a 90.74% reduction in ITAE, with a settling time of 9.573 seconds and a steady-state error of 2.809, indicating its superior convergence and control accuracy over PSO as the baseline. Time-domain analysis further confirms that the FOPID controller outperforms conventional PI and PID controllers. The robustness of the proposed control strategy is assessed under various operating scenarios. Finally, the proposed technique is validated through the OPAL-RT platform.
کلیدواژه‌ها
Islanded microgrid؛ load frequency control؛ multi-population african vultures optimization؛ fractional derivative virtual inertia and damping control؛ renewable energy sources
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