Publication Type:

Conference Paper

Source:

2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, IEEE Xplore, p.3405-3410 (2018)

ISBN:

9781538618868

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050114733&doi=10.1109%2fICECDS.2017.8390092&partnerID=40&md5=9dc0ff4fc5ede1c144fc2918e17222d2

Keywords:

Commercial applications, DC choppers, Efficient power managements, Electric inverters, Electric power transmission networks, grid, heating, Higher order harmonics, Integration systems, Locks (fasteners), Phase Locked Loop (PLL), Phase locked loops, Power Management, Pulse inverters, Signal processing, Soft computing, Solar cells, Solar energy

Abstract:

Solar power is currently been used in many commercial applications such as solar water heaters, solar pumps, stand-alone solar powered houses etc. The extensive power of the Sun can be used for power generation with the help of solar cells. The power demand in our country is at its peak level and will tend to increase in the upcoming days. This project mainly focuses on the conversion of excessive solar energy into useful power to eliminate the power scarcity, where the solar power can be converted into electricity and can be synchronized with the grid. The solar power is trapped with the help of solar cells, which will produce a DC voltage. This DC voltage will be converted into AC using IGBT based three phase six pulse inverter. Filters are used to remove the higher order harmonics present in the signal inverter output signal. This filtered AC voltage can be synchronized with the grid through Phase Locked Loop (PLL) base control system. © 2017 IEEE.

Notes:

cited By 0; Conference of 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017 ; Conference Date: 1 August 2017 Through 2 August 2017; Conference Code:137325

Cite this Research Publication

T. Abinaya, Vaira Vignesh R., and Vijayan, T. M., “Solar based grid tie integration system for efficient power management”, in 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, 2018, pp. 3405-3410.