TY - JOUR
T1 - Hardware-in-the-loop simulation for the testing of smart control in grid-connected solar power generation systems
AU - Khooban, Mohammad Hassan
AU - Dehghani, Moslem
AU - Dragicevic, Tomislav
PY - 2018/9
Y1 - 2018/9
N2 - 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.
AB - 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.
KW - adaptive PI control
KW - general type II fuzzy logic
KW - grid-connected solar power generation system
KW - MBSA
KW - modified backtracking search algorithm
U2 - 10.1504/IJCAT.2018.094577
DO - 10.1504/IJCAT.2018.094577
M3 - Journal article
SN - 0952-8091
VL - 58
SP - 116
EP - 128
JO - International Journal of Computer Applications in Technology
JF - International Journal of Computer Applications in Technology
IS - 2
ER -