Maximum Power Point Tracking of Photovoltaic System Using Taguchi-based Fuzzy Logic Control
| Autor: | Angelo A. Beltran, Peter Mark P. Buay, Ying-Yi Hong |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Maximum power principle
Computer science 020209 energy 020208 electrical & electronic engineering Photovoltaic system 02 engineering and technology Optimal control Fuzzy logic control Maximum power point tracking Taguchi methods Electricity generation Control theory Boost converter 0202 electrical engineering electronic engineering information engineering |
| Zdroj: | 2019 IEEE Milan PowerTech. |
| DOI: | 10.1109/ptc.2019.8810887 |
| Popis: | Photovoltaic (PV) power generation has characteristics of uncertainty and intermittence due to varying irradiances and temperatures. Maximum Power Point Tracking (MPPT) algorithm in a DC/DC converter ensures the PV is able to generate its maximum power according to its power-voltage curve. This paper proposes a novel method based on Fuzzy Logic System (FLS) to tune the control gains. Sixty-three scenarios considering varying insolation and temperature from nine Taguchi’s orthogonal experiments are studied to achieve a robust design of control gains. The obtained optimal control gains of FLS hence can be applied to different meteorological conditions. A standalone PV system with a boost converter and load is used to show the applicability of the proposed method. |
| Databáze: | OpenAIRE |
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