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On the Potential of ChatGPT to Generate Distribution Systems for Load Flow Studies Using OpenDSS

IEEE transactions on power systems(2023)

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摘要
In recent years, the Large Language Models have developed at an unprecedented pace with the potential to transform various fields, including power system analysis. This letter illustrates the current status and potential use of ChatGPT, (ready-to-use) pretrained chatbot, to create test distribution systems modeled as DSS files for load flow studies using OpenDSS, focusing on educational 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 support educational activities by creating functional circuits and propose solutions for engineering problems if adequate guidance and examples are provided.
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关键词
Chatbots,Transformers,Power systems,Task analysis,Reactive power,Load modeling,Load flow,Artificial intelligence,large language models,OpenDSS,power distribution systems
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