Tariff based fuzzy logic controller for active power sharing between microgrid to grid with improved power quality

Abstract

Integration of microgrids to grid with the help of modern power electronic devices disturbs the grid stability. For improved integration and power sharing, a knowledge based algorithm using the concept of smart parks is introduced in this paper. Smart parks are electric vehicle charging centers which have a great potential to support the grid. Smart parks uses modified Icosφ control algorithm and by proper control of this algorithm, microgrids can provide active power support, reactive power compensation and harmonic elimination. Fuzzy logic controller is used for controlling the operation of microgrids depending upon certain factors like SOC level, source current and tariff. The simulation of tariff based fuzzy logic controller is performed in MATLAB/Simulink and it shows that it can provide improved integration of microgrids with less power quality issues.