کد مقاله g52
عنوان مقاله:
Power-Management Strategies for a Grid-Connected PV-FC Hybrid System
سال ارائه: 2010 نوع مقاله:IEEE گزارش فارسی: دارد
کلید واژه : سیستم هیبرید، فوتو ولتائیک Distributed generation, fuel cell, hybrid system, microgrid, photovoltaic, power management., پروژه متلب , شبیه سازی با متلب ,
Abstract—This paper presents a method to operate a grid
connected hybrid system. The hybrid system composed of a Pho
tovoltaic (PV) array and a Proton exchange membrane fuel cell
(PEMFC) is considered. The PV array normally uses a maximum
power point tracking (MPPT) technique to continuously deliver
the highest power to the load when variations in irradiation and
temperature occur, which make it become an uncontrollable
source. In coordination with PEMFC, the hybrid system output
power becomes controllable. Two operation modes, the unit-power
control (UPC) mode and the feeder-flow control (FFC) mode, can
be applied to the hybrid system. The coordination of two control
modes, the coordination of the PV array and the PEMFC in the
hybrid system, and the determination of reference parameters
are presented. The proposed operating strategy with a flexible
operation mode change always operates the PV array at maximum
output power and the PEMFC in its high efficiency performance
band, thus improving the performance of system operation, en
hancing system stability, and decreasing the number of operating
mode changes.
Index Terms—Distributed generation, fuel cell, hybrid system,
microgrid, photovoltaic, power management.
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کد مقاله g76
عنوان اصلی مقاله :
Hybrid fuel cell based Distributed Generation system for the Mitigation of voltage sag
سال ارائه: 2013 نوع مقاله:ژورنال گزارش فارسی: دارد
کلید واژه:Control, energy storage, fuel cell (FC), hybrid وsystem, smart grid, voltage sag, پروژه متلب , شبیه سازی با متلب ,
.
Abstract -This paper concentrates on Hybrid Fuel cell based
Distributed Generation system for the mitigation of the balanced
and unbalanced voltage sags in the power systems. The proposed
system works properly whenever voltage sag occurs in the power
system. Current control strategy is developed on the basis of fuzzy
controller and the Active power management in the system is based
on Neural network controller. This controller decides the super
capacitor power that should be generated according to the power
available in the DC link. This hybrid system is studied under
various balanced and unbalanced voltage sag conditions.
Simulation results are given to show the overall performance of the
Distributed Generation system.
Key words - Control, energy storage, fuel cell (FC), hybrid
system, smart grid, voltage sag.
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