大数据技术在主动配电网中的应用研究

Research on the application of big data technology in active distribution network

配网状态数据的两大基本特征就是自主管理和自主运行,在主动配电网的协作下都能实现。大数据时代的节奏快、数据流通量大,已经达到了PB级。相比传统的电网模式,现今的电网在用电采集、在线监视控制方面都是智能化的。当今能源消纳是分布式的,就需要结合大数据的高效性和覆盖性来与用户协作完成,这是当今工作的重点。本文采取递进的方式分别从主动配电网的优点、达成的应用和面对的挑战、主动配电网的优化和未来的展望这几个方面来论述。其中关于电网技术的配置、电网状态评估,保护、需求侧管理等方面的细节等方面也做了详细的论述。

The two basic characteristics of distribution network state data are independent management and independent operation. Big data era fast-paced,large data flow, has reached the level of PB. Compared with the traditional power grid model, the current power grid in the power collection, online monitoring and control are intelligent. In today＇s energy is distributed, requires a combination of big data and high coverage and user collaboration, which is the focus of today＇s work. This paper discusses the advantages of the active distribution network, the application and the challenge, the optimization of the active power distribution network and the prospect of the future. In this paper, the configuration of power grid technology, the evaluation of power network status, the protection and the demand side management are also discussed in detail.