配电网分布式多源业务流即时处理技术研究

智能配电网通信系统承载了很多电网终端海量的业务数据。随着新能源电力广泛接入,配网连接可再生电源后,微网系统的调度、控制、管理等业务所必须的数据业务需要通过配网通信系统进行处理。如何动态地、智能地、自适应地调整数据流业务传输的分配量,使各节点有序地分工合作、协同运行,是智能化分布式数据处理的新要求。论文提出一种并行化数据流处理手段,通过流密度来有效融合不同源的数据流,并利用通道复用技术分时隙传输不同等级的数据流,采用基于容器的调控手段和系列数据预处理技术,保障数据的可靠性。论文的研究成果对配电网自动化控制系统提供有效的理论及实验依据。

Research On Real-time Processing Of Distributed Service Flow In Multi-source Distribution Network

The smart distribution network communication system carries many tentacles of business data of the power grid. With the extensive access of new energy power, after the distribution network connects renewable power supplies, the data necessary for services such as dispatch, control, and management of the micro-grid system will inevitably need to be transmitted through the distribution network communication system. How to dynamically, intelligently, and adaptively adjust the allocation of data stream service transmissions, so that the orderly division of labor and cooperation of various nodes, collaborative operation, is a new requirement of intelligent distributed data processing. This paper adopts a parallel data stream processing method to effectively integrate data sources of different sources through stream density, and uses time-division multiplexing technology to transmit different levels of data streams in time slots, using container-based control methods and series of data preprocessing. Technology to ensure the reliability of data. The research results of this paper provide effective theoretical and experimental basis for the distribution network automation control system.