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Comparative Analysis of Intelligent Controller Based Microgrid Integration of Hybrid P.V./Wind Power System

Publication Type : Journal Article

Publisher : Springer

Source : Springer I.G.I.- Global - International Journal of Ambient Computing and Intelligence" (IJACI) (Indexed In: Web of Science- S.C.I., SCOPUS, Elsevier) (Impact factor: 1.58) (2018)

Url : https://link.springer.com/article/10.1007/s12652-018-0961-6

Campus : Coimbatore

School : School of Engineering

Center : Amrita Innovation & Research

Department : Electrical and Electronics

Verified : Yes

Year : 2018

Abstract : In present years the consumer power demand has been increased day by day due to pollution growth and new industry establishments. The fossil fuel based power generation system unable to meet alone the consumer demand and environmental issues. In this paper, we have been investigating different renewable energy sources for generate the electricity and environmental safety. The hybrid renewable energy sources are very effective to generate the power even though the absence of any one source. The simulation model of hybrid 60 kW PV and Wind power system developed using Matlab Simulink. The renewable energy system is operated with MPPT techniques based ANFIS controller for improving the system efficiency. The hybrid renewable energy system is presented as interconnected Microgrid system by using an intelligent controller. The proposed intelligent controller based phase loop locker show improvement in the system stability during Microgrid integration simulation. The proposed system analysed with the different intelligent controller such as fuzzy, ANN and ANFIS using Matlab Simulink environment. The simulation results are evaluated and compared with the existing system. Finally recommends the proposed system for Microgrid integration of hybrid renewable energy system.

Cite this Research Publication : Venkateshkumar, M et al., "Comparative Analysis of Intelligent Controller Based Microgrid Integration Of Hybrid P.V./Wind Power System,"  Springer I.G.I.- Global - International Journal of Ambient Computing and Intelligence" (IJACI) (Indexed In: Web of Science- S.C.I., SCOPUS, Elsevier) (Impact factor: 1.58) (2018)

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