Hybrid energy storage photovoltaic power generation system based on power prediction method

Abstract

The invention provides a hybrid energy storage photovoltaic power generation system based on a power prediction method. The hybrid energy storage photovoltaic power generation system based on the power prediction method comprises an energy storage unit and an inverter, wherein the energy storage unit and the inverter are connected with an energy storage controller. The energy storage controller comprises a control module, a photovoltaic power prediction module and a DC-DC power module; the control module is used for adjusting the operating mode of the energy storage unit; the photovoltaic power prediction module is used for predicting photovoltaic power generation power according to output power of a photovoltaic battery in the system and sending a power prediction value to the inverter. Compared with the prior art, the hybrid energy storage photovoltaic power generation system based on the power prediction method can reduce the capacity of the energy storage unit and improve the utilization rate of stored energy; due to the fact that the energy storage unit does not need to be started frequently to compensate the power difference between the photovoltaic battery and the inverter, the service life of the energy storage unit is prolonged; an inverter output curve is smoothed, and therefore the impact on a power grid is reduced.

Description

technical field [0001] The invention relates to a hybrid energy storage photovoltaic power generation system, in particular to a hybrid energy storage photovoltaic power generation system based on a power prediction method. Background technique [0002] When the photovoltaic power generation system is connected to the grid, the energy storage unit is configured to stabilize the power fluctuation and improve the acceptance capacity of the grid. As the power compensation device of the photovoltaic power generation system, the energy storage unit's reasonable control of its output power and prediction of photovoltaic power are crucial to the stable operation of the photovoltaic power generation system. [0003] When configuring the energy storage unit, most photovoltaic power generation systems only simply compensate the power output curve of the photovoltaic module, and do not have a perfect power prediction algorithm. When the fluctuation of photovoltaic energy is large, the ...

AI Technical Summary

Problems solved by technology

The research on photovoltaic power prediction in the prior art mainly focuses on the power prediction of photovoltaic power plants to meet the grid dispatching requirements; however, the existing photovoltaic power prediction algorithms, such as BP neural network, similar day typical trend method and least squares support vector machine The method has many influencing factors, and it relies too much on the accuracy of weather forecast, the model is complex, and the practicability is not strong; the above method mainly pursues accurate prediction, and the smoothing effect is not good. Fluctuation is the main task, based on which short-term power fluctuations are tracked and accurate predictions are made

Images