Tracking the location of maximum power is a vital development in the field of solar systems which provides the best possible results in terms of maximum power by increasing the system efficiency. With increased efficiency, the losses in the system will be less, which will minimize the financial burden for the PV system. For maximum output of the photovoltaic module, a brilliant control using hybrid algorithms of GA-ANFIS and PSO-ANFIS is proposed and compared for variable temperature and irradiance conditions. The simulation is performed in MATLAB 2022b and the results are differentiated based on various performance matrices like Mean Square Error (MSE), Root Mean Square Error (RMSE), Mean Error, and Error Standard Deviation. The obtained results show that the hybrid algorithm of PSO-ANFIS performs better with less error as compared to GA-ANFIS. Due to fewer errors, the maximum constant power received by the PSO-ANFIS algorithm is greater than the GA-ANFIS algorithm.

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Tracking of Maximum Power Point Using Hybrid Algorithms PSO-ANFIS and GA-ANFIS with Comparative Analysis

  • Pranjal Devendra Mishra,
  • Seema Pal

摘要

Tracking the location of maximum power is a vital development in the field of solar systems which provides the best possible results in terms of maximum power by increasing the system efficiency. With increased efficiency, the losses in the system will be less, which will minimize the financial burden for the PV system. For maximum output of the photovoltaic module, a brilliant control using hybrid algorithms of GA-ANFIS and PSO-ANFIS is proposed and compared for variable temperature and irradiance conditions. The simulation is performed in MATLAB 2022b and the results are differentiated based on various performance matrices like Mean Square Error (MSE), Root Mean Square Error (RMSE), Mean Error, and Error Standard Deviation. The obtained results show that the hybrid algorithm of PSO-ANFIS performs better with less error as compared to GA-ANFIS. Due to fewer errors, the maximum constant power received by the PSO-ANFIS algorithm is greater than the GA-ANFIS algorithm.