This research proposed a novel global maximum power point tracking (global‐MPPT) algorithm. The proposed algorithm eliminates the perturbation and observation (P&O) technique disturbance problem that the power point will be stuck at the local peak power point under a partial shading condition (PSC). The proposed global‐MPPT algorithm detects the photovoltaic module (PV‐M) environment irradiance level by the relationship between the output power and voltage of the PV‐M. In the proposed algorithm, the important parameter w is determined by the PV‐M output power and irradiance level, which is also the compensation parameter that corresponds to the relationship of temperature. The proposed global‐MPPT algorithm is aimed to predict the best duty cycle of the global‐MPPT based on the irradiance level, parameter w, PV‐M output voltage, and load, and then achieve the maximum power point (MPP) quickly and accurately. The measurement results under UIC and PSC verify that the proposed global‐MPPT technique performs better than the particle swarm optimization (PSO) and P&O techniques. This research contributes to the proposed method that can find the global‐MPP in time based on the irradiance level, temperature, and load.
- Partial shading condition
- Particle swarm optimization algorithm
- Perturbation and observation algorithm
- Solar power system
ASJC Scopus subject areas
- Chemical Engineering (miscellaneous)
- Process Chemistry and Technology