Publication Type:

Conference Paper

Source:

2017 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2017, Institute of Electrical and Electronics Engineers Inc. (2018)

ISBN:

9781509066209

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057964407&doi=10.1109%2fICCIC.2017.8524478&partnerID=40&md5=95415841f65134d00e331778040755f9

Keywords:

Artificial intelligence, Computer circuits, economics, Electric power measurement, Electric power transmission networks, Energy management systems, Field programmable gate arrays (FPGA), Field-programming gate arrays, Fuzzy logic, optimum frequency, Power grids, Power station, Smart energy meters, Supply and demand, Supply-demand, Verilog code

Abstract:

Power stations produce supply at a particular frequency in a given locale. This frequency varies with supply and demand in the grid. This paper mainly focuses on maintaining the optimum frequency in the grid by inducing the users to cope up with the demand by altering the energy's price. With the correlation between the supply-demand, price (for power consumption) is obtained using Fuzzy Logic. The logic is substantiated with simulation through Simulink. The fuzzy logic is then transmuted to Verilog code and is synthesized using Vivado tool. Succeedingly it is implemented in Xilinx Field Programming Gate Array (FPGA).

Notes:

cited By 0; Conference of 8th IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2017 ; Conference Date: 14 December 2017 Through 16 December 2017; Conference Code:142125

Cite this Research Publication

A. R. Baskaran, Aravindh, S., Varman, S. A. M., Prabhu E., and M., K., “Smart Energy Meter for Power Grid Using Fuzzy Logic”, in 2017 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2017, 2018.