Abstract
In this paper, a statistical cloud model was proposed for optimal design of the proportional integral derivative (PID) controllers used in current control of vehicle-to-grid connected inverter systems with PID parameters. By collecting the effective control factors and noise factors from a 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. The 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 verified that the statistical cloud model can increase the performance of the single-phase full-bridge vehicle-to-grid connected system in practical vehicle-to-grid applications in the Internet of Things.
Highlights
The vehicle-to-grid optimization problem is currently very important for the power grid system.an effective statistical model is proposed in this paper to meet the requirements of recentInternet of Things (IOT) applications
The results show that the proposed mathematical method has the capability of providing a better searching process and through the analysis of response surface method combined with orthogonal particle swarm optimization (OPSO) process, the optimal solution is found
The reactive power is proved to be minimal, and the total harmonic distorsion (THD) value is proved to be minimal at the same time
Summary
The vehicle-to-grid optimization problem is currently very important for the power grid system.an effective statistical model is proposed in this paper to meet the requirements of recentIOT applications. The vehicle-to-grid optimization problem is currently very important for the power grid system. An effective statistical model is proposed in this paper to meet the requirements of recent. The smart power grid system should have Internet connections with cloud servers to provide useful information for the vehicle-to-grid inverter controller. When the vehicle joins the power grid system and supplies power into the grid, the power quality conditions can be fulfilled. The proportional integral derivative (PID) controller parameters of the vehicle-to-grid inverter can be specified. The total harmonic distorsion (THD) value and reactive power value are satisfactory by referring to the PID parameters suggested from cloud server
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