To supply a stable and efficient electricity, small-scaled wind turbine's brake system plays an immense role in various wind speeds. Small-wind power generation systems are difficult to operate in strong wind region since the turbine could be over-rotated and damaged if the brake system is not robust enough to maintain a stable angular velocity. Most of the smallscaled wind turbines use friction brakes to control the turbine speed for a stable electricity output. Since the friction brake are run out of time and needs frequent maintenance and eventually replacement, we introduce an eddy current based wind turbine brake system which is contactless with the rotor as an alternative to the friction brake system. The advantage of the proposed brake system is that the energy loss due to the friction will be reduced and will be more durable than the friction brake. The flow of this study is at first we did the analogical experiment of blade destruction to set to the maximum allowed angular velocity. Later, in order to verify the performance and stability requirement the mathematical implementation of eddy current brake system have done in DC-Green house for various wind penetration. Eventually the feasibility of eddy current brake system is confirmed in simulation results.
This research aims to enhance the generated power of the small-scaled wind turbine using the eddy current brake system and Maximum Power Point Tracking (MPPT) control method. We analyzed the behavior of the generated power and power factor, with and without the MPPT control which implemented by eddy current brake system. Also, the feasibility of the system investigated using different wind conditions such as strong and calm wind conditions. The load data has different voltage respond to the system since its conditions depend on the day/night loads pattern, weather conditions, soil moisture. Moreover, the analogical experiment for small-scaled wind turbine blade destruction is analyzed to determine the maximum penetration value of mechanical power in order to retrieve an optimal angular velocity which resulting in provides a possible maximum power to loads. At the same time, emergency break is operated when angular velocity reaches to critical speed to avoid destruction. In the simulation, we collected the real load data from a mango farm in Okinawa prefecture in Japan. The results were analyzed through simulations for the different wind conditions. In the end of simulation, we could verify that either Maximum Power Point and emergency control are activated correspondingly.
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