The invention relates to the technical field of steady-state balance of an
electric power system, and discloses a current transient fusion and steady-state balance method based on
intelligent control, which comprises the following steps of: based on a
transient current fluctuation
signal in the
electric power system, obtaining a current fluctuation amplitude, a
voltage fluctuation amplitude and a frequency, and measuring the current fluctuation amplitude and the
voltage fluctuation amplitude by measuring the variation amplitude of the current and the
voltage; and calculating the change rate of the fluctuation amplitude and the frequency, and comparing the change rate with a preset threshold value to generate a transient fluctuation state
signal. According to the method, transient fluctuation state signals are obtained through a
particle swarm optimization algorithm, the distribution condition of current loads of all nodes is accurately calculated, fine adjustment is carried out, load balance is ensured, the stability and response speed of the
system under transient disturbance are improved, a
language type fuzzy system is adopted, and when
transient current and steady current are fused, the stability of the system is improved. According to the actual
energy distribution state, the optimal fusion mode is intelligently selected, efficient utilization and distribution of energy are achieved, and the long-term operation stability and safety of a power system are enhanced.