The invention relates to the technical field of intelligent regulation and control of
energy storage power stations, in particular to a peak regulation and
frequency modulation cooperative control method for an
energy storage power station. Comprising the steps of multi-
source data acquisition and preprocessing, multi-model fusion prediction and error pre-judgment, rolling optimization and three-level linkage error correction, multi-time scale layered cooperative control based on SoC dynamic optimization, parameter adaptive comprehensive
frequency modulation and
hybrid energy storage execution. According to the method, a five-stage
cascade fusion prediction framework is constructed, a dynamic weight
fusion mechanism and a Cornish-Fisher series error pre-judgment model are combined, the problem of pain points of multi-scale prediction independent operation and error accumulation conduction in the prior art is solved, and through the rolling optimization characteristic of MPC
model prediction control and a three-stage linkage error correction mechanism, the prediction accuracy is improved. And in cooperation with adaptive error compensation of DDPG
reinforcement learning, the execution accuracy of a peak regulation and
frequency modulation instruction is improved, the problem of load curve
distortion caused by a traditional constant-power peak regulation mode is effectively avoided, and the stability of
power grid operation is greatly improved.