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Earlier, we retrieved handles to 3 channels: ph_a, ph_b and ph_c. Each channel represents a series of values over a domain, time in this case. We can pull that data (the series of values) from Enerplot into Python by access the channels’ .data members. For instance, the first few samples from each of those channels:
There is no support for installing additional Python modules, such as numpy, to the embedded Python interpreter. If additional Python modules are desired, external scripting is required.
Adding corresponding sample values together will produce the zero sequence voltage. Multiplying the resulting sum by 1000 will convert the result to volts. This can be done for every point in the time domain with one Python statement, using the zip() function and list comprehension:
从上面支持的任何文件类型中获取和加载的数据集都可以转换和保存为COMTRADE或逗号分隔变量(.csv)格式。
Enerplot提供了一个高度自动化的环境来快速有效地处理大量数据。
特性和优点包括
带有嵌入Python接口的自动化脚本编写
通过记录用户操作创建自定义脚本的功能
Features and benefits
Enerplot supports the import of data in many formats, including: PSCAD/EMTDC, PSS/E, RSCAD, COMTRADE, Comma Separated Values and Text Files
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