The rapid digitalization of power systems has led to a significant increase in coding tasks for power engineers. This research article explores how ChatGPT, an advanced AI language model, can assist power engineers and researchers in a range of coding tasks. From simple to complex, we present three case studies to illustrate the benefits of ChatGPT in various coding scenarios. For routine tasks such as daily unit commitment, ChatGPT can increase efficiency by directly generating batch number of codes and reducing repetitive programming and debugging time for power engineers. For complex problems such as decentralized optimization of mul-ti-vector energy systems, ChatGPT can reduce the learning cost of power engineers on problem formulation and the choice of numerical solvers. For new problems without readily avaliable solutions such as ultra-fast unit commitment, ChatGPT can organize technology roadmap, gen-erate data and develop model and code. Furthermore, this paper discuss generic prompt ap-proaches for different tasks in power systems, providing insights for power engineers and re-searchers seeking to harness ChatGPT in terms of auto coding, new knowledge learning and new problem solving. The findings demonstrate the potential of ChatGPT as a powerful tool in the domain of power system engineering.

翻译：电力系统的快速数字化显著增加了电力工程师的编程任务量。本文探讨了先进AI语言模型ChatGPT如何助力电力工程师和研究人员完成一系列编程任务。从简单到复杂，我们通过三个案例研究展示了ChatGPT在不同编程场景中的优势。对于日常机组组合等常规任务，ChatGPT可直接生成批量化代码，减少电力工程师的重复编程和调试时间，从而提升效率。针对多向量能源系统分散优化等复杂问题，ChatGPT可降低电力工程师在问题建模和数值求解器选择上的学习成本。对于尚无现成解决方案的新问题（如超快速机组组合），ChatGPT能组织技术路线、生成数据并开发模型与代码。此外，本文讨论了电力系统中不同任务的通用提示方法，为电力工程师和研究人员在自动编程、新知识学习和新问题求解方面利用ChatGPT提供见解。研究结果表明，ChatGPT有望成为电力系统工程领域的强大工具。