ABSTRACT
In this paper, a statistical cloud model was proposed for optimal design of PID controller used in current control of vehicle-to-grid connected inverter system with PID parameters. By collecting the effective control factors and noise factors from cloud data base, the cloud model can minimize both the reactive power and the total harmonic distortion for the single-phase full-bridge vehicle-to-grid connected system. Multi-objective optimal solution is obtained by using statistical fuzzy-based response surface methodology with multiple performance characteristics index. The testing results showed the validity of the proposed cloud model. It is convinced that the statistical cloud model can increase the performance of the single-phase full-bridge vehicle-to-grid connected system in the practical vehicle-to-grid application with Internet of Things.
