Performance Comparison of AVPSO and Firefly MPPT Algorithm in Solar Panel Optimization

The success of the optimization algorithm performance in the case of MPPT solar panels significantly led to a development of a lot of model variations and new algorithm modifications. The application of the right algorithm will greatly affect the output power of the solar panel, tracking speed, and stability of the final value. This study focuses on comparing the performance of AVPSO and Firefly optimization algorithms through PSIM and hardware simulations in a tropical environment with irradiated temperatures. The results of the hardware test show that both algorithms are able to get the same MPPT power results, while AVPSO can produce more power in the PSIM simulation test. In terms of tracking speed, AVPSO excels in hardware testing, while Firefly excels in PSIM simulation tests. The effect of MPPT tracking characteristics on the hardware shows that AVPSO has a temperature rise of two degrees Celsius lower than the firefly algorithm. The results show that the hardware tests and PSIM simulation from AVPSO as a new modified algorithm from PSO has advantages over the firefly predecessor algorithm in the MPPT case.