Contribution to the performance of GPV systems by an efficient MPPT control
Djalel Dib, Mourad Mordjaoui, Ghoudelbourk Sihem
Abstract
Djalel Dib, Mourad Mordjaoui, Ghoudelbourk Sihem
Abstract
For the best exploitation of various renewable energy resources, it is important to improve the efficiency and reliability of the GPV photovoltaic systems. The maximum power point tracking (MPPT) has an important role in the performance of the photovoltaic power systems. We present in this paper a new technique of control bazed on the fuzzy logic algorithm for solar panel. The GPV photovoltaic systems can produce maximum power at a particular operating point called Maximum Power Point (MPP). To produce maximum power and to get maximum efficiency, the entire photovoltaic panel must operate at this particular point. Maximum power point of PV panel keeps on changing with changing environmental conditions such as solar irradiance and cell temperature. Thus to extract maximum available power from a PV module, MPPT algorithms are implemented and Perturb and Observe (P&O) MPPT and fuzzy logic control FLC MPPT are developed and compared. The results show the effectiveness of the fuzzy control technique to give a good power quality.
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For the best exploitation of various renewable energy resources, it is important to improve the efficiency and reliability of the GPV photovoltaic systems. The maximum power point tracking (MPPT) has an important role in the performance of the photovoltaic power systems. We present in this paper a new technique of control bazed on the fuzzy logic algorithm for solar panel. The GPV photovoltaic systems can produce maximum power at a particular operating point called Maximum Power Point (MPP). To produce maximum power and to get maximum efficiency, the entire photovoltaic panel must operate at this particular point. Maximum power point of PV panel keeps on changing with changing environmental conditions such as solar irradiance and cell temperature. Thus to extract maximum available power from a PV module, MPPT algorithms are implemented and Perturb and Observe (P&O) MPPT and fuzzy logic control FLC MPPT are developed and compared. The results show the effectiveness of the fuzzy control technique to give a good power quality.
Key concepts: Maximum power point tracking, Photovoltaic system, Maximum power principle, Control theory (sociology), Power (physics), Fuzzy logic, Computer science, Renewable energy