基于大数据的电力通信网络状态感知分析

在分布式电源接入和可再生能源的大量应用下,其渗透率逐渐提高,此时电网的规模、设备状态等各项指数会大幅增长。如果仍依靠传统的模型和技术来判断电力通信网络的状态,则难以全面、精准地掌握具体信息。文中提出了一种新型感知电力通信网络状态的方法,其借助大数据技术,可深层次阐述电力通信网络组成和通信业务的特点,并分析了基于大数据的电力通信网络状态感知模型,对于全面展示电力通信网络的态势变化和功能变化有着积极的作用。

Power Communication Network State Awareness Analysis Based on Big Data

Under the large-scale application of distributed power generation and renewable energy, its penetration rate will gradually increase, and the scale of the power grid and the status of equipment will increase significantly at this time. If you still rely on traditional models and technologies to judge the state of the power communication network, it is difficult to fully and accurately grasp the specific information. This paper proposes a new method for sensing the state of the power communication network. With the help of big data technology, the characteristics of the power communication network composition and communication services can be explained in depth, and the power communication network state awareness model based on big data is analyzed, which has a positive effect on comprehensively displaying the situation changes and functional changes of the power communication network.