Supplying electrical power to consumers through renewable energy sources based hybrid ‎standalone systems is the best choice to reduce global warming instead of using diesel ‎generators in isolated locations worldwide. Moreover, standalone hybrid power supply ‎systems are also becoming popular in many urban areas including hospitals, universities, ‎institutions, small-scale industries, and agriculture fields due to their features. The two most ‎often used renewable energy sources are thy wind and Photovoltaic (PV) because of their ‎many advantages. However, there is a crucial issue in the off-grid applications that make the ‎use of storage units necessary. This issue is the lack of power required to meet the load ‎demand from the PV system during the night hours and from the wind system during very ‎low and very high speeds. Therefore this study presents a hybrid off-grid renewable system, a ‎Microgrid consisting of PV systems, wind power based-permanent magnet synchronous ‎generator (PMSG), and a battery. The output of the two renewable sources (PV and wind-‎based ‎(PMSG) is DC, therefore DC-DC converter is used to link them to the same DC link as well as ‎track the maximum power available from each source independently. The DC link is then ‎connected to the AC load by an inverter. All system components must effectively coordinate ‎their controllers to provide the consumers with high quality power. In this regard, this paper ‎proposes a control scheme for this Microgrid using Takagi Sugeno Kang (TSK) Fuzzy ‎controllers. By keeping the voltage constant on the AC side for AC loads and the DC side for ‎DC loads during some disturbances, the proposed controller helps to enhance the power ‎quality of the Microgrid. Along with reducing the total harmonic distortion and frequency ‎variations at the AC side. In addition to enhancing the Microgrid's power quality, the ‎controller is used to maintain power balance by controlling the power flow between the ‎battery and the system. The system is modeled in MATLAB, and hardware-in-the-loop (HIL) ‎is developed with the aid of OPAL-RT modules to evaluate the results of the simulation.‎