This article focuses on Low-Voltage Quasi-Synchronous Grid Connection (LVQSG) and Intelligent Supply and Pickup Device (ISPD). In view of the increasing demand for distributed energy access and intelligent power consumption of users, the traditional technology is insufficient, and the purpose is to develop efficient and stable related systems. By constructing LVQSG algorithm based on improved predictive control and intelligent optimization algorithm combining genetic algorithm (GA) and simulated annealing algorithm (SAA), the software and hardware of the system are designed and developed. The experiment builds a platform to simulate the actual working conditions. The LVQSG experiment shows that the voltage amplitude difference can be controlled within 5% of the rated voltage at the time of grid connection, the frequency difference is less than ±0.5Hz, and the phase difference also meets the requirements, effectively reducing the grid connection impact. The experiment of intelligent power transmission shows that the overall energy consumption can be reduced by about 10% in the office scene, and the intelligent and efficient distribution of electric energy can be realized. The research results provide strong support for improving the reliability of electricity, promoting the application of distributed energy and meeting the demand of intelligent electricity consumption.
Ying et al. (Sun,) studied this question.