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Karimipouya, Akbar, Karimi, Shahram, Abdi, Hamdi. (1398). Microgrid frequency control using the virtual inertia and ANFIS-based Controller. نشریه علمی دانشگاه سیستان و بلوچستان, 2(2), 145-154. doi: 10.22111/ieco.2018.26293.1071
Akbar Karimipouya; Shahram Karimi; Hamdi Abdi. "Microgrid frequency control using the virtual inertia and ANFIS-based Controller". نشریه علمی دانشگاه سیستان و بلوچستان, 2, 2, 1398, 145-154. doi: 10.22111/ieco.2018.26293.1071
Karimipouya, Akbar, Karimi, Shahram, Abdi, Hamdi. (1398). 'Microgrid frequency control using the virtual inertia and ANFIS-based Controller', نشریه علمی دانشگاه سیستان و بلوچستان, 2(2), pp. 145-154. doi: 10.22111/ieco.2018.26293.1071
Karimipouya, Akbar, Karimi, Shahram, Abdi, Hamdi. Microgrid frequency control using the virtual inertia and ANFIS-based Controller. نشریه علمی دانشگاه سیستان و بلوچستان, 1398; 2(2): 145-154. doi: 10.22111/ieco.2018.26293.1071

Microgrid frequency control using the virtual inertia and ANFIS-based Controller

International Journal of Industrial Electronics Control and Optimization
مقاله 14، دوره 2، شماره 2، تیر 2019، صفحه 145-154    اصل مقاله (1.79 M)
نوع مقاله: Research Articles
شناسه دیجیتال (DOI): 10.22111/ieco.2018.26293.1071
نویسندگان
Akbar Karimipouya1؛ Shahram Karimi* 1؛ Hamdi Abdi2
1Department of Electrical Engineering, Razi University, Kermanshah, Iran
2Electrical Engineering Departments, Engineering Faculty, Razi University, Kermanshah, Iran.
چکیده
the main challenge in associate islanded Micro grid (MG) is the frequency stability due to the inherent low-inertia feature of distributed energy resources. That is why, energy storage devices, are utilized in MGs as the promising sources for grid short-term frequency regulation. Though energy storage devices, improve the dynamic response of the load frequency control system, these devices increase system costs. Moreover, the modification or uncertainty of the system parameters will significantly degrade the performance of the conventional load-frequency control system. This article proposes the implementation of rotating-mass-based virtual inertia in Double-Fed Induction Generator (DFIG) to support the primary frequency control associated an adaptive Neuro-Fuzzy Inference System (ANFIS) controller, as the secondary frequency control. The simulation results illustrate that the suggested control scheme ameliorate the dynamic response and performance of the load frequency control system and also the studied islanded MG remains stable, despite severe load variation and parametric uncertainties.
کلیدواژه‌ها
Microgrid؛ Frequency Control؛ DFIG؛ Virtual Inertia؛ ANFIS
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