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).
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
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.