Comparison method of flower pollination algorithm, modified particle swarm optimization and perturb observe in MPPT coupled inductor sepic converter on DC microgrid isolated system

摘要

Renewable energy becomes very important because energy requirement can't always depend on fossil energy. Renewable energy such as solar energy is a great natural energy that can be utilized in the morning until the afternoon. Unfortunately, The problem of the output power in solar energy such as Photovoltaic (PV) is influenced by irradiation and temperature that can change suddenly. The output power released by PV depends on the value of irradiation and the temperature forming P-V and I-V characteristic curves. The maximum power output on the PV characteristic curve can be achieved using the MPPT algorithm. MPPT algorithm widely developed from conventional Algorithm up to AI algorithm. Hence, in this paper discussed the comparison of FPA (Flower Pollination Algorithm), MPSO (Modified Particle Swarm Optimization), and P&O (Perturb and Observe) methods in MPPT coupled inductor SEPIC converter on DC Microgrid Isolated System. Sepic converter used to reduce ripple current in part of input. Furthermore, simulated performance experiments show that all three methods were able to find the maximum power point with an accuracy greater than 95%. The simulation results show that the FPA method is superior compared to the MPSO and P&O methods.