Fuzzy Controller Based Grid Integration of Hybrid Solar Photovoltaic and DFIG Wind Energy System to Improve Power Quality

Shenoy, Latha K and Nayak, Gurudas C and Mandi, Rajashekar P (2019) Fuzzy Controller Based Grid Integration of Hybrid Solar Photovoltaic and DFIG Wind Energy System to Improve Power Quality. Applied Mathematics and Information Scinece, 13. pp. 447-457. ISSN 1935-0090

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Official URL: http://dx.doi.org/10.18576/amis/13S148

Abstract

This paper is focused on grid integration of a hybrid photovoltaic (PV) and doubly fed induction generator (DFIG) based wind energy system. An intelligent controller was developed to generate maximum power from the above renewable energy sources and to solve the grid integration issue while improving the generated power quality. This paper has three major parts. The first pertains the design of a fuzzy logic controller to maximize power point tracking of photovoltaic power system and to generate maximum power under various weather conditions. The second part explains the design of a fuzzy logic controller for DFIG based wind energy conversion system to improve the system performance. The third part integrates the above two renewable energy sources and develop a hybrid fuzzy logic controller for solving grid integration issues and improving the power quality. The proposed system simulation results are evaluated with IEEE 1547 standard for showing the effectiveness of the system. The fuzzy controller has been developed for maximum power point tracking for 10 KW photovoltaic power systems and analysed with various weather conditions.

Item Type: Article
Uncontrolled Keywords: PV, DFIG, Grid, Fuzzy, Power Quality, Hybrid
Subjects: Engineering > MIT Manipal > Instrumentation and Control
Depositing User: MIT Library
Date Deposited: 06 May 2020 04:09
Last Modified: 06 May 2020 04:09
URI: http://eprints.manipal.edu/id/eprint/155075

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