大数据技术与通信网络优化在电力储能系统中的应用
Application of Big Data and Communication Network Optimization in Electric Power Storage System
严研1
作者信息
- 1. 中国能源建设集团科技发展有限公司,天津 300131
- 折叠
摘要
随着可再生能源的广泛使用和智能电网的发展,电力储能系统在保障电网稳定性和提高能源利用效率方面发挥着越来越重要的作用.文章分析了大数据技术在电力储能系统中的应用场景,包括需求预测、运行优化以及故障诊断等.同时,探讨了通信网络优化对加快储能系统响应速度、提升系统可靠性的重要性.通过案例分析,证实了大数据技术与通信网络优化的结合能显著提高电力储能系统的整体性能,为未来智能电网的发展提供新的思路.
Abstract
With the extensive use of renewable energy and the development of smart grid,electric energy storage system plays an increasingly important role in ensuring the stability of power grid and improving energy utilization efficiency.This paper analyzes the application scenarios of big data technology in electric energy storage system,including demand forecasting,operation optimization and fault diagnosis.At the same time,the importance of communication network optimization to speed up the response speed of energy storage system and improve the reliability of the system is discussed.Through case analysis,it is confirmed that the combination of big data technology and communication network optimization can significantly improve the overall performance of power storage system and provide new ideas for the future development of smart grid.
关键词
大数据/通信网络优化/电力储能系统/智能电网/能源管理Key words
big data/communication network optimization/electric power storage system/smart grid/energy management引用本文复制引用
出版年
2024
NETL
NSTL
万方数据