Fuzzy Technique for Order Preference by Similarity to Ideal Solution Based Optimization for Grid-Connected Solar PV System
This study presents an optimization framework for grid-connected solar photovoltaic (PV) systems using the Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (F-TOPSIS). With the growing demand for sustainable energy solutions, the research addresses the dual objective of maximi...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Semarak Ilmu Publishing
2025
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/49043/1/ARFMTSV132_N1_P47_64.pdf http://ir.unimas.my/id/eprint/49043/ https://semarakilmu.com.my/journals/index.php/fluid_mechanics_thermal_sciences/article/view/12731 https://doi.org/10.37934/arfmts.132.1.4764 |
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| Summary: | This study presents an optimization framework for grid-connected solar photovoltaic (PV) systems using the Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (F-TOPSIS). With the growing demand for sustainable energy solutions, the research addresses the dual objective of maximizing power output while minimizing capital costs
under architectural, financial, and energy constraints. A detailed case study involving real world building parameters and energy consumption data was conducted, evaluating 17
PV system configurations. The F-TOPSIS method was applied to rank these alternatives based on fuzzy-weighted criteria of power generation and budget limitations. Results indicate that the optimal configuration—utilizing 230 panels arranged across 10 MPPTs— achieves a balanced trade-off between performance and cost, delivering 129.6 kWp at a capital cost of RM334,025. The study demonstrates the effectiveness of the fuzzy decision making approach in handling uncertainties in multi-criteria PV system design and provides a systematic methodology for selecting the most viable solar PV configuration. |
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