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Wind-PV Hybrid Energy Source Fed Three Level NPC with Quasi Z Source Network Palanisamy R; Vijayakumar K
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 8, No 3: September 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (559.242 KB) | DOI: 10.11591/ijpeds.v8.i3.pp1285-1293

Abstract

Multilevel inverters find use in industrial drive applications and grid based power generation. Owing to the increasing power demand and rising conventional generation costs a new alternative in renewable energy source is gaining popularity and acceptance. A Wind-PV hybrid renewable energy source is proposed which increases power reliability and improves standalone generation efficiency. A Quasi Z source network allows inverter shoot through possibility while boosting the dc voltage fed to the Neutral Point Clamped MLI. Simulation results were obtained for two levels VSI and further simulations for 3 level quasi NPC-TLI verified using Matlab Simulink and hardware implementation results verified by using DSP controller
Smart soil monitoring and water conservation using irrigation on technology George Fernandez s; Vijayakumar K; Kalyanasundaram V; Vidyasagar S; Selvakumar K; Selvabharathi D; Palanisamy R
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 1: July 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i1.pp99-107

Abstract

The conventional system of irrigation how efficient and well managed it may be wastes up to 50% of the water supplied. purpose of this paper is to provide a user-oriented and standalone irrigation solution for soil monitoring and water conservation, based on network of sensor. Using the input from the user the system will act automatically. It not only reduce the water waste but also is cost efficient and easy to operate. Different parameters like soil moisture, temperature and humidity are imported in order to calculate the efficient quantity of water needed. This system uses different sensors like soil moisture sensor, humidity sensor and temperature sensor to take required data. In this paper, the proposed project uses sensor having low power consumption reducing load overall. The system also stores the input and uses it for forecasting. The concept of IoT is implied in this paper. The control of motors are automated powered by solar panels. The data is stored in table format. All data is accessible via internet. This system can help the user to gain vital data about the fields irrespective of the weather condition.