Design Of Ems Scheduling Strategy for Large-Scale Energy Storage Power Plant Based on High-Performance Computing and Its Enhancement of Power System Stability Research

Abstract

This paper designs the EMS scheduling strategy, and the EMS scheduling system consists of a central layer, a data layer, and an execution layer. The power operation state data are collected by terminal devices, the acquired data are imported into the central layer through the network, the data are pre-processed by SCADA, the network analysis and optimized dispatching are carried out according to the data, the state regulation module advances the order to be given, and the control order is executed by the terminal devices. A relatively safe power EMS network structure and power EMS network security protection system architecture are established, and the optimization system of power EMS network is set up to reduce power fluctuations. The results show that the node voltage MV probability obtained by the algorithm of this paper is 223, which is the closest to the actual power system trend change. The longest time of system transcription is 9.32s, the highest transcription space utilization is 0.0007%, and the Y value is proportional to the size of the transcription source. The system has the highest power scheduling efficiency and the highest point of scheduling efficiency reaches 50%. The proposed system has the shortest backup time, the smallest backup space usage, the highest predicted value of backup power scheduling data performance, and the best scheduling efficiency, which can effectively improve power stability.