Optimization control strategy based on adaptive continuous tabu search algorithm

The invention relates to an optimization control strategy based on an adaptive continuous tabu search algorithm. The method is mainly applied to the hybrid energy storage system to participate in automatic power generation control (AGC) of a power grid. The method comprises the following steps: firstly, establishing an automatic power generation control simulation model of a single-region power system, inputting disturbance suffered by a power grid in a control period at a future moment based on results of ultra-short-term wind power prediction and load prediction, and calculating region control deviation (ACE) of the single-region system by measuring frequency fluctuation in the power grid period; and setting an optimization coefficient as a distribution proportion of the ACE between the conventional frequency modulation unit and the hybrid energy storage system, substituting different proportions into the simulation model for operation, and taking frequency fluctuation in a control period, an energy storage