European Journal of Molecular & Clinical Medicine

Maximum Power Point Tracking (MPPT) control for stand-alone solar power generation systems via the FCM Clustering model-based approach is considered. A DC/DC boost converter is used to regulate the output power of the photovoltaic panel array. Genetic algorithm optimization technique is employed for solar power generation systems. Furthermore, experimental results show that the system can track the maximum power point accurately and fastly, such that the proposed method can eliminate the power oscillation at maximum power point.

As of late acceptance engines assumes a crucial job in local and Mechanical territories contrasted with DC engines and simultaneous engines in numerous viewpoints like cost, size, productivity, life length and viability. In this paper we propose an open circuit issue can be distinguished through estimating the stage and line voltage of the inverter. It very well may be finished by supplanting an additional arm gave in the circuit the impact of the difficult will be distinguished. At that point the terminating edge from the processor is given to the additional arm. The substitution of switch will be managed ceaselessly the entire framework and recoveries the unknown time. Re-enactment results are given to exhibit the recognition and substitution. This test material to control the undesirable fault and used to fabricate a three stage impedance source inverter model.