Wind power energy storage system charging and discharging process optimization method based on variant artificial fish schools

The invention discloses a wind power energy storage system charging and discharging process optimization method based on a variant artificial fish school. The method comprises the following following steps: obtaining real-time operation state information of each storage battery pack according to a wind power energy storage system real-time monitoring device; according to the obtained state information, introducing a complex number, endowing artificial fish information, establishing an artificial fish school, and establishing a bulletin board; starting iteration when the artificial fish school varies; allowing the artificial fish schools to select corresponding behaviors based on self perception and environment feedback; recording the position of each artificial fish, and updating the bulletin board; allowing the system to perform discharging or energy charging according to whether the sum of the energy charging numbers of the detection points reaches the set highest food concentration or the set lowest food concentration; when the sum of the energy-full points of the system detection points is lower than the highest food concentration setting, recovering normal operation of the system again; and outputting a system operation result. The concept of variant fish is introduced, and the variant artificial fish swarm algorithm and fan energy storage system compensation are combined to optimize wind power.