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A novel control approach based on hybrid Fuzzy Logic and Seeker Optimization for optimal energy management between micro-sources and supercapacitor in an islanded Microgrid
یک روش کنترل جدید مبتنی بر منطق فازی ترکیبی و بهینه سازی جستجوگر برای مدیریت بهینه انرژی بین منابع کوچک و ابر رسانا در یک میکروگرید جزیره ای-2020 This work presents a novel control technique for proportional power sharing among parallel VSCs connected
to an islanded Microgrid in a distributed generation system consisting of Photovoltaic (PV) and
Solid Oxide Fuel Cell (SOFC) as two micro-sources. For tracking the maximum solar energy, a Seeker
Optimized Fuzzy based Dynamic PI (FSOA-DPI) controller is implemented for the Modified Perturb and
Observe MPPT method. Again, for the optimum cost management of the Microgrid system, DPI controller
based decentralized Virtual Impedance Drooping (VID) technique is implemented for suitable load sharing
between the two hybrid micro-sources. An Energy Storage System (ESS) regulated by FSOA-DPI controller
is also proposed for this Microgrid system to ensure the better transient and sub-transient stability
during fault occurrence. The dynamic response and stability of the system with proposed method is compared
and contrasted with conventional PI controller based method during load sharing for ensuring the
robust control under conditions of nonlinear load and faults. The harmonic analysis has been carried out
by Fast Fourier Transform (FFT) and the values indicate that the Total Harmonic Distortion (THD) is well
within the prescribed IEEE standard limits. Validation and justification of the improvements achieved by
the proposed controller are realized using Matlab/Simulink environment. Keywords: Microgrid | Distributed generation (DG) | Hybrid micro-source | Photovoltaic (PV) | Solid Oxide Fuel Cell (SOFC) | Virtual Impedance Drooping | Seeker Optimization Approach (SOA) |
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