Artificial Intelligence Generative Model in Power System Security and Stability Analysis: An Overview
Abstract:
The field of artificial intelligence generated content (AIGC) is currently experiencing rapid development, attracting the attention of both academic and industrial communities. This article summarizes the development of several mainstream models in the AIGC field, as well as their research and application status in areas such as image generation and text generation. Additionally, as an emerging form of internet technology, this article analyzes the research status and application prospects of AIGC in traditional industrial fields using the power system as an example. Finally, this article summarizes in detail the shortcomings of generative models and identifies research directions for future study, to promote the development of AIGC technology and its deep integration with traditional industrial applications, to facilitate industrial technological transformation and upgrading.
Index Terms: Artificial intelligence generated content (AIGC), diffusion model, generative adversarial network, variational auto-encoder, power system, steady-state security analysis, transient stability assessment
Published in:The International Journal of Intelligent Control and Systems (Volume: 30, Issue: 1, 2025-03-20)
Page(s):63 - 75