A micro-grid energy management method and system based on distributed photovoltaic prediction and battery SOC state

Abstract

The application discloses a micro-grid energy management method and system based on distributed photovoltaic prediction and energy storage battery SOC state, and the method comprises the following steps: collecting multi-dimensional environmental parameters and photovoltaic sensor output power in real time through various sensors, obtaining real-time load power and load demand characteristics in the micro-grid, and obtaining grid interaction conditions and real-time state of charge of the energy storage battery; inputting the time sequence data of the multi-dimensional environmental parameters and the photovoltaic sensor output power into a photovoltaic power generation power prediction model respectively, obtaining photovoltaic power generation power prediction values and prediction uncertainty characteristics of a future prediction period; deeply fusing the dynamic change of the energy storage battery SOC with the prediction uncertainty of the photovoltaic power generation power prediction values, the load demand characteristics and the grid interaction conditions, and realizing real-time cooperation, constructing a multi-dimensional decision model, generating an energy distribution priority strategy, and adjusting the distribution path of photovoltaic electric energy and the charging and discharging behavior of the energy storage battery.

Images