“The power system is facing the threat of false data injection attacks, and existing detection methods have the problems of insufficient feature learning ability and slow detection speed, making it impossible to quickly and accurately locate false data injection attacks. Therefore, a power grid false data injection attack location detection method based on Levy sparrow optimization deep extreme learning machine is proposed, and its research progress in the field of power grid security is introduced. The team has established a fast and accurate attack location detection system to provide a solution to the problem of network security protection in the power system.”