• Dr.SENGENI
• Mr.T.Manochandar

The objective of the system is to reduce or get rid of the dependence on grid electricity or to reduce their carbon footprint. Wind generators have been used for house hold electricity generation in conjunction with battery storage space over many decades in remote areas. In general wind energy is not a regular source of energy. It varies continually and gives energy in abrupt bursts. In the existing system entire energy has out in just of the operating time since wind strengths varies and so cannot guarantee for continuous electric power. To overcome these difficulties Wireless Sensor Network (WSN) based system is proposed with KALMAN selection algorithm. In this system a wind mill continually monitored through LabVIEW software which is connected with Voltage and Current sensors rating also the running velocity in the wind motor is computed by employing ultrasonic Speed sensor in wind Motor. In the proposed system wind motor will continuously run without holding off power even in low air flow strength and it hook up with wind mill by displaying the computed values to the CU for controlling operation. As a result more power consumption can be minimized.

Wireless Sensor Network(WSN), Laboratory Virtual Instrumentation Engineering Workbench (LABVIEW), Control Unit (CU).

"WSN BASED WIND POWER BOOSTING SYSTEM USING LABVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.321-327, November-2018, Available :http://www.jetir.org/papers/JETIR1811649.pdf

"WSN BASED WIND POWER BOOSTING SYSTEM USING LABVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp321-327, November-2018, Available at : http://www.jetir.org/papers/JETIR1811649.pdf