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Journal of Electrical and Computer Engineering
Volume 2018 (2018), Article ID 3806372, 10 pages
https://doi.org/10.1155/2018/3806372
Research Article

Application of Fuzzy Control in a Photovoltaic Grid-Connected Inverter

School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510641, China

Correspondence should be addressed to Jiaxiang Xue; nc.ude.tucs@euxaijem

Received 27 August 2017; Revised 12 January 2018; Accepted 24 January 2018; Published 1 March 2018

Academic Editor: Andrea Bonfiglio

Copyright © 2018 Zhaohong Zheng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

To realize the maximum power output of a grid-connected inverter, the MPPT (maximum power point tracking) control method is needed. The perturbation and observation (P&O) method can cause the inverter operating point to oscillate near the maximum power. In this paper, the fuzzy control P&O method is proposed, and the fuzzy control algorithm is applied to the disturbance observation method. The simulation results of the P&O method with fuzzy control and the traditional P&O method prove that not only can the new method reduce the power loss caused by inverter oscillation during maximum power point tracking, but also it has the advantage of speed. Inductive loads in the post-grid-connected stage cause grid-connected current distortion. A fuzzy control algorithm is added to the traditional deadbeat grid-connected control method to improve the quality of the system’s grid-connected operation. The fuzzy deadbeat control method is verified by experiments, and the harmonic current of the grid-connected current is less than 3%.