Optimal extraction of photovoltaic energy using fuzzy logic control for maximum power point tracking technique
In photovoltaic (PV) systems, maximum power point tracking (MPPT) techniques are used to track the maximum power from the PV array under the change in irradiance and temperature conditions. The perturb and observe (P&O) is one of the most widely used MPPT techniques in recent times due to its si...
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| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Institute of Advanced Engineering and Science
2020
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/93200/ http://dx.doi.org/10.11591/ijpeds.v11.i3.pp1628-1639 |
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| Institution: | Universiti Teknologi Malaysia |
| Summary: | In photovoltaic (PV) systems, maximum power point tracking (MPPT) techniques are used to track the maximum power from the PV array under the change in irradiance and temperature conditions. The perturb and observe (P&O) is one of the most widely used MPPT techniques in recent times due to its simple implementation and improved performance. However, the P&O has limitations such as oscillation around the MPP during which time the P&O algorithm will become confused due to rapidly changing atmospheric conditions. To overcome the above limitation, this paper uses the fuzzy logic controller (FLC) to track the maximum power from the PV system under different irradiance, integrates it with a DC-DC boost converter as a tracker. The result of the FLC performance is compared with the traditional P&O method and shows the MPPT algorithm based on FLC ensures continuous tracking of the maximum power within a short period compared with the traditional P&O method. Besides that, the proposed method (FLC) has a faster dynamic response and low oscillations at the operating point around the MPP under steady-state conditions and dynamic change in irradiance. |
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