Full Transcripts - On the Potential of ChatGPT to Generate Distribution Systems for Load Flow Studies using OpenDSS

This is the full ChatGPT transcript for the IEEE Power Engineering Letter "On the Potential of ChatGPT to Generate Distribution Systems for Load Flow Studies using OpenDSS". The abstract for the letter is as follows: In recent years, the Large Language Models have developed at an unprecedented pace with the potential to revolutionize various fields of knowledge, including power systems. This letter illustrates the current status and potential use of GPT-3.5 and GPT-4 to create test distribution systems modeled as DSS files for load flow studies using OpenDSS, focusing on educational and research purposes. A performance comparison of GPT-3.5 and GPT-4 large language models (with the ChatGPT frontend) has been conducted. More specifically, the ability of ChatGPT to generate simple test circuits to run in OpenDSS is verified, including elements such as lines, loads, transformers, and photovoltaic generators. The ability of ChatGPT to identify and solve simple engineering problems applied to the generated circuits is also briefly discussed. The results demonstrate that GPT-4 has the potential to create functional circuits and propose solutions for engineering problems if adequate guidance and examples are provided.

本数据集为IEEE电力工程通讯《论ChatGPT在利用OpenDSS生成配电网以进行负荷流研究中的潜力》全文转录。信函摘要如下：近年来，大语言模型以史无前例的速度发展，有望颠覆包括电力系统在内的众多知识领域。本信函阐述了GPT-3.5和GPT-4在当前的应用状况及其潜力，着重探讨了利用OpenDSS创建模拟为DSS文件的测试配电网，以用于负荷流研究的教育和研究目的。对GPT-3.5和GPT-4大语言模型（搭配ChatGPT前端）进行了性能比较。具体而言，验证了ChatGPT生成可在OpenDSS中运行的简单测试电路的能力，包括线路、负载、变压器和光伏发电设备等元素。同时，亦简要讨论了ChatGPT识别和解决应用于生成电路的简单工程问题的能力。结果显示，若提供充分的指导和实例，GPT-4具有创建功能性电路并针对工程问题提出解决方案的潜力。