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Development and Automated Testing Platform for Active Distribution Network Fault Diagnosis Module

机译:有源配电网故障诊断模块的开发与自动化测试平台

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In the development of the fault diagnosis algorithm, it is necessary to verify its applicability and accuracy under various fault scenarios. A fault diagnosis module development and automated testing platform in the active distribution network is proposed. The platform includes two parts: the diagnostic module development system and the automatic testing system. The diagnostic module development system adopts layered architecture and is divided into three layers: the data interface layer, the phasor calculation layer and the diagnostic algorithm layer. A method for controlling PSCAD simulation using Python scripts to generate fault scenarios in batches is proposed. An automated scheme for fault data acquisition, diagnostic module testing, and formatted report generation is presented. Improve the development and operation efficiency by using the method of starting the simulation from a snapshot file in PSCAD and the way of compiling the development system into an executable file. The development and testing platform enable data standardization, functional scalability, and automation of test processes.
机译:在故障诊断算法的开发中,有必要验证其在各种故障场景下的适用性和准确性。提出了主动配电网中的故障诊断模块开发和自动化测试平台。该平台包括两部分:诊断模块开发系统和自动测试系统。诊断模块开发系统采用分层架构,分为数据接口层,相量计算层和诊断算法层三层。提出了一种使用Python脚本控制PSCAD仿真以批量生成故障场景的方法。提出了一种用于故障数据采集,诊断模块测试和格式化报告生成的自动化方案。通过使用从PSCAD中的快照文件启动仿真的方法以及将开发系统编译为可执行文件的方法,可以提高开发和操作效率。开发和测试平台可实现数据标准化,功能可扩展性和测试过程的自动化。

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