Big Data from Actual IEEE 5 Bus System during Normal and Control Operations
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The Electric Power System is divided into many different sections. One of which is the transmission system, where power is transmitted from generating stations and substations via transmission lines into consumers. Many unexpected or unwanted situations may arise in the transmission lines, and hence it is important to collect the data continuously, in real time, so that this big data can be analyzed and used to improvise the power system. It is important for the bus parameters to be displayed in a clear and lucid manner to make analysis of the line and bus parameters efficient and easy. A system has been designed for the same on a scaled-down version of the transmission system, the IEEE-5 bus system. The parameter data like phase and line Voltages, current, frequency, power, etc. are collected from the energy meter by Raspberry Pi and displayed on the cloud platform, Thingspeak, through RS485 interface using the MODBUS protocol. The data from ThingSpeak is available in a variety of formats, including JSON, CSV and XML. For this project, CSV data format has been chosen to represent the data.
电力系统被划分为众多不同的部分。其中之一为输电系统,该系统中电能通过输电线路从发电站和变电站传输至消费者。在输电线路中可能会出现诸多意料之外或不受欢迎的情况,因此,持续且实时地收集数据显得尤为重要,以便对这一大数据进行分析并用于改进电力系统。为了使线路和母线参数的分析既高效又简便,参数的显示方式必须清晰明了。为此,已在缩小版的输电系统——IEEE-5母线系统上设计了一套系统。通过 Raspberry Pi 从能源计量器收集如相位、线路电压、电流、频率、功率等参数数据,并利用 MODBUS 协议通过 RS485 接口将数据展示在云端平台 Thingspeak 上。来自 ThingSpeak 的数据支持多种格式,包括 JSON、CSV 和 XML。在本项目中,选择 CSV 数据格式来表示数据。
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IEEE Dataport



