Energy comparative analysis of MPPT techniques for PV system using interleaved soft-switching boost converter
نویسندگان
چکیده
The availability of solar energy varies widely with ambient temperature and different atmospheric conditions and hence the maximum power point (MPP) of photovoltaic system (PV) system is not stable. Therefore, a maximum power point tracking (MPPT) controllers are needed to operate the PV at its MPP. This work presents an evaluation of four different MPPT techniques for PV system such as perturb and observation (P&O), incremental conductance (INC), fuzzy logic controller (FLC), and genetic algorithm (GA). These MPPT techniques are implemented in an interleaved soft switching boosts converter (ISSBC) and performance comparison is made for these four MPPT algorithms in terms of parameters like global peak, tracking speed and power extraction. These algorithms are methodically investigated by means of simulation and a projected efficiency estimate method of experimentation. The simulation and hardware results show that GA algorithm is outperforming than the other algorithms.
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