Maximum Power Point Tracking (MPPT) algorithms is conferred in this paper used in photovoltaic (PV) systems for changing temperature and irradiance conditions. The MPPT control is always combined with a DC-DC power converter to produce maximal power under differing metrological conditions. The boost converter is used along with the Maximum Power Point Tracking control system. Perturb and Observe (P&O) and Incremental Conductance algorithm (INC) are the two widely used algorithms for drawing maximal power from the photovoltaic source. Direct duty ratio control technique is used for both the algorithms. The system is modeled using MATLAB Simulink software. The simulation result of 50W PV module produced by the two algorithms are analysed and a comparative study is presented.
- Maximum power point tracking (MPPT)
- MATLAB SIMULINK
- Photovoltaic (PV)
- Perturb and Observe (P&O)
- Incremental conductance (INC)
- Duty ratio (D)
A mathematical model of a 50W photovoltaic (PV) panel modeled with MPPT control algorithms is discussed in this paper. The Perturb and Observe algorithm, and Incremental conductance algorithm are explained and simulated using the MATLAB Simulink. Here the MPPT control is achieved by direct duty ratio control of the boost converter which is linked to the load for its maximum efficiency under varying temperature and irradiance values of solar PV panel. The Perturb and Observe (P&O) method is simple to implement. It has slow response during changing atmospheric conditions due to fixed step size and has a tendency of drifting the operating point towards the wrong side. These issues are addressed by using Incremental conductance method (INC) which has a better performance over Perturb and Observe algorithm. It has a faster response and is more efficient in tracking when the irradiance values are changing continuously. The steady-state performance of the photovoltaic control system are improved by using the MPPT algorithms.
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