An intelligent prediction system for energy storage plant in transmission grid is designed to address the problem of capacity allocation of wind farms and energy storage plant in transmission grid.The direct current(DC)system,station low voltage system,monitoring system,microcomputer protection device,measurement and control device,metering device,artificial intelligence,5G mobile communication,and integrated automation equipment are used to create the intelligent prediction system.Calculation,research,and prediction of the capacity of the energy storage plant are achieved through artificial intelligence based on the shuffled frog leaping algorithm(SFLA),as well as the optimized configuration of the energy storage plant.Docking the outer connection port to the snap wire.The data such as hardware information,operation status,equipment condition and rated load needed by the detection unit are collected by sensing equipment and the data is optimized.The test results show that the system has a prediction accuracy of more than 90％in the energy storage plant.The system is highly practical for solving the problem of power waste and is also in line with the characteristics of energy storage plant.
关键词
智能预测系统/混合蛙跳算法/测控装置/5G移动通信/人工智能
Key words
Intelligent prediction system/Shuffled frog leaping algorithm(SFLA)/Measurement and control device/5G mobile communication/Artificial intelligence
维普
万方数据