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Intelligent PSO-Fuzzy MPPT approach for Stand Alone PV System under Real Outdoor Weather Conditions
This paper presents a performance analysis of Solar PV System under Real Outdoor Weather Conditions based on PSO fuzzy optimization approach. The PV system consists of a PV array of 6 kWp, DC-DC boost converter, PSO fuzzy MPPT control and resistive Load. In this paper, an efficient maximum power poi...
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Published in: | Algerian journal of renewable energy and sustainable development 2021-06, Vol.3 (1), p.1-12 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Citations: | Items that cite this one |
Online Access: | Get full text |
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Summary: | This paper presents a performance analysis of Solar PV System under Real Outdoor Weather Conditions based on PSO fuzzy optimization approach. The PV system consists of a PV array of 6 kWp, DC-DC boost converter, PSO fuzzy MPPT control and resistive Load. In this paper, an efficient maximum power point tracking method based on combining the strengths of fuzzy maximum approach and Particle Swarm Optimization to optimize fuzzy gain. The photovoltaic PV system has been simulated using MATLAB/SIMULINK to validate the effectiveness of the proposed MPPT. It can be concluded that the proposed method can quickly convergence to the MPP, higher efficiency and low oscillation during different situations of climatic conditions. |
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ISSN: | 2710-849X 2710-849X |
DOI: | 10.46657/ajresd.2021.3.1.1 |