The invention, which relates to the technical field of
energy scheduling, discloses a new-energy-consumption-based source-network-load-storage combined optimization scheduling method comprising the following steps: acquiring an ultra-short-term power prediction curve and historical error data of a
new energy station in a target area, and adjusting capability parameters of a conventional generator set, distributed
energy storage and an adjustable load; based on historical error data, analyzing
time sequence probability distribution of prediction errors, determining a
confidence interval of an error amplitude and a
confidence interval of an error change rate, and forming a double envelope line representing an uncertainty
dynamic range; according to the deviation between the double envelope and the ultra-short-term power prediction curve, generating a corresponding
power compensation demand sequence period by period; according to the error change rate
confidence interval, generating a corresponding power change rate demand sequence period by period; according to the invention, the
power balance capability of the source network load storage
system is improved, the operation stability of the
power grid is powerfully guaranteed, and the
new energy consumption efficiency is obviously improved.