Design and Simulation of Intelligent ControlMPPT Technique for PV Module UsingMATLAB/ SIMSCAPE
Swati Singh, Lini Mathew, Shimi Sudha Letha
Abstract
Swati Singh, Lini Mathew, Shimi Sudha Letha
Abstract
This paper presents a new fuzzy logic based Maximum Power Point Tracking (MPPT) algorithm for solar panel. The solar panel is modelled and analysed in MATLAB/SIMULINK. The Solar panel 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. In this paper, Perturb and Observe (P&O) MPPT and fuzzy logic based MPPT are developed and compared. Simulation results show the effectiveness of the fuzzy based technique to produce a more stable power.
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This paper presents a new fuzzy logic based Maximum Power Point Tracking (MPPT) algorithm for solar panel. The solar panel is modelled and analysed in MATLAB/SIMULINK. The Solar panel 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. In this paper, Perturb and Observe (P&O) MPPT and fuzzy logic based MPPT are developed and compared. Simulation results show the effectiveness of the fuzzy based technique to produce a more stable power.
Key concepts: Maximum power point tracking, Maximum power principle, Photovoltaic system, MATLAB, Power (physics), Fuzzy logic, Control theory (sociology), Solar micro-inverter