Title: Hardware-in-the-loop simulation for the testing of smart control in grid-connected solar power generation systems

Authors: Mohammad-Hassan Khooban; Moslem Dehghani; Tomislav Dragičević

Addresses: Department of Energy Technology, Aalborg University, 9220 Aalborg East, Denmark ' Department of Electrical Engineering, Shiraz University of Technology, Shiraz, Iran ' Department of Energy Technology, Aalborg University, 9220 Aalborg East, Denmark

Abstract: Generally, the power of a solar photovoltaic panel is strongly related to climate conditions. Hence, a grid-connected system should have a good response over variations in the solar radiation and temperature. Consequently, this work describes the application of the control based general type-II fuzzy system for the grid-connected solar power generation system. In this study, general type-2 fuzzy logic sets (GT2FLS) and the Modified Backtracking Search Algorithm (MBSA) techniques for the adaptive tuning of the most popular existing proportional-integral (PI) controller is integrated in order to tackle these uncertainties. The achieved results are compared with conventional PI controller and Optimal Fuzzy PI (OFPI) controller results, which are the most recent researches into in the present issue to evaluate the proficiency of the proposed controller. Finally, the extensive studies and hardware-in-the-loop simulations are presented to show the effectiveness of the proposed controller.

Keywords: adaptive PI control; general type II fuzzy logic; grid-connected solar power generation system; MBSA; modified backtracking search algorithm.

DOI: 10.1504/IJCAT.2018.094577

International Journal of Computer Applications in Technology, 2018 Vol.58 No.2, pp.116 - 128

Received: 31 Mar 2017
Accepted: 02 Aug 2017

Published online: 07 Sep 2018 *

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