| Abstrakt: |
The significance of evaluating the design quality of Maximum Power Point Tracking (MPPT) controllers in photovoltaic systems lies in ensuring efficient and stable operation under various environmental conditions. By assessing the controller's tracking efficiency, dynamic response speed, steady-state error, and disturbance rejection capability, the system's energy output can be optimized, equipment lifespan extended, operating costs reduced, and overall system reliability and performance improved, thereby maximizing solar energy utilization efficiency. The quality evaluation of MPPT controller design for photovoltaic systems is framed as a multiple-attribute group decision-making (MAGDM) problem. Recently, the Exponential TODIM (ExpTODIM) approach has been introduced to address this type of decision-making. Single-valued neutrosophic sets (SVNSs) are employed as a decision-making tool to represent fuzzy data during the quality evaluation process of MPPT controller design in photovoltaic systems. In this study, a method combining the single- valued neutrosophic number and Exponential TODIM (SVNN-Com-ExpTODIM), based on the SVNN Hamming distance (SVNNHD) and SVNN Euclidean distance (SVNNED), is proposed to solve the MAGDM problem under SVNSs. Finally, a numerical study is conducted to demonstrate the effectiveness of the SVNN-Com-ExpTODIM approach for the quality evaluation of MPPT controller design in photovoltaic systems, supported by comparative analysis. [ABSTRACT FROM AUTHOR] |
