An Intelligent Cooling System Based on Predictive Time Domain Algorithm with Thermoelectric Coolers for Wind Turbines

Development of Power Electronics devices (PED) made renewable energy generation of power more feasible than that of traditional power plant generation. In India, Tamil Nadu the major source of renewable generation is come from Wind generation. Due to PED, heat generated is the Major issues in wind power generation, which consequence in terrible combustion accidents and disasters. Cooling system such as compressor based cooling scheme or two phases cooling is provided in addition to natural air cooling. The major disadvantages of the scheme are their volume, requirement of large power supplies and frequent chance to catch fire. Currently, using Thermo-electric coolers (TEC) called Peltier modules to provide cooling in wind power plant. Only after the system has reached massive temperature levels can it excavates the heat. The proposed method using predictive time domain algorithm the cooling process initiated in prepone manner. As soon as heat go up the system will detected and switched on cooling in predictive manner which can avoid the system to reach the maximum temperature. By using IoT, the system can monitor the temperature level and make use of predictive cooling technology over the surfaces without any delay time.