摘要
随着新能源和新型负荷的快速发展,配电网面临着供需平衡和电能质量控制等挑战.设计了一种基于5G通信技术的配电网储能优化运行系统,充分利用 5G通信技术的高速率、低时延以及广连接特性,结合机器学习算法,实现储能设备的实时监测和精准调度功能.实验结果表明,该系统显著提升了通信性能、预测精度以及调度效果,为构建智能、高效、可靠的配电网提供了新的技术途径.
Abstract
With the rapid development of new energy and new loads,the distribution network is facing challenges such as supply-demand balance and power quality control.The article designs a distribution network energy storage optimization operation system based on 5G communication technology,fully utilizing the high-speed,low latency,and wide connectivity characteristics of 5G communication technology,combined with machine learning algorithms,to achieve real-time monitoring and precise scheduling of energy storage devices.The experimental results show that the system significantly improves communication performance,prediction accuracy,and scheduling effectiveness,providing a new technological approach for building intelligent,efficient,and reliable distribution networks.
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