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Tariff Based Fuzzy Logic Controller for Active Power Sharing between Micro-grid to Grid with Improved Power Quality

Publication Type : Conference Proceedings

Publisher : IEEE International Conference on Energy Efficient Technologies for Sustainability (ICEETS).

Source : IEEE International Conference on Energy Efficient Technologies for Sustainability (ICEETS), Nagarcovil. Nagarcovil, pp. 406-409, 2016.

Url : https://ieeexplore.ieee.org/document/7583789

Campus : Amritapuri, Coimbatore

School : School of Engineering

Department : Electrical and Electronics

Year : 2016

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.

Cite this Research Publication : D. R, Ilango Karuppasamy, S, D., and Dr. Manjula G. Nair, “Tariff Based Fuzzy Logic Controller for Active Power Sharing between Micro-grid to Grid with Improved Power Quality”, IEEE International Conference on Energy Efficient Technologies for Sustainability (ICEETS), Nagarcovil. Nagarcovil, pp. 406-409, 2016.

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