Study on the Strategy of Power Grid Control with Distributed PV Storage System

Distributed PV storage micro grid, which is composed of photovoltaic energy storage and distributed energy and load, not only can effectively use the distributed photovoltaic power supply, but also can improve the power supply reliability level and the energy utilization rate of power system. In order to effectively utilize the distributed photovoltaic power generation, the control strategy of the power grid with distributed optical storage system is studied. To establish the model of each component of the optical micro grid system, the modeling of the control system includes maximum power point tracking control, battery charge and discharge control and inverter power factor control. Application of improved BP neural network algorithm to build short-term forecasting model of power generation. On the basis of the various components of the optical micro grid system, the simulation model of optical micro grid system is built, and the simulation research is carried out on the control of the optical micro grid system under different scheduling strategies.