The invention relates to the technical field of intelligent
energy storage, in particular to an intelligent
energy storage system based on source-grid-load storage integration, which comprises a power supply state evaluation module, a
power grid constraint judgment module, an
energy storage adaptation capability calculation module, a collaborative scheduling strategy matching module and an instruction execution consistency
verification module. According to the method, the
predictability of
new energy output is enhanced by analyzing the
wind power and photovoltaic power change rate in real time and extracting the average output of a stable interval as a reference, and a safe scheduling path is screened based on the
power grid node load and
voltage offset condition, so that scheduling failure caused by node overrun is avoided; according to the method, participating objects are accurately screened in combination with the charge state, temperature and
discharge capacity of an energy storage unit, a clear scheduling capacity boundary is constructed, the response efficiency is improved, the energy storage capacity and a load gap are matched and judged, dynamic strategy
adaptation under multiple scenes is achieved, the actual response and instruction consistency of a converter is verified, and it is guaranteed that a
closed loop is accurately executed.