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At Sieyuan, we are exploring how AI can amplify power system engineering. A recent example comes from our Chief Engineer, Lei Huang, who has spent the past few weeks rebuilding a 13,000+ bus bulk power system in PSS®E with the assistance of LLM models.
The model includes more than 16,000 transmission lines, over 3,000 transformers, approximately 700 generators, around 3,000 renewable interconnection points, more than 20 LCC and VSC HVDC links, as well as offshore wind farms, STATCOMs, and synchronous condensers. It now supports both power flow and dynamic (DYR) simulations, creating a system level platform for studying future power system behavior and for developing, validating, and deploying grid forming technologies.
This achievement represents more than a technical milestone. It demonstrates how Sieyuan is integrating AI into engineering workflows. AI handled repetitive engineering tasks at remarkable speed, including data conversion, script generation, consistency checks, and managing complex software environments. However, building a physically credible grid model cannot be delegated to AI alone. It requires hundreds of engineering judgments, each validated by an experienced engineer who understands what a correct solution should look like.
“AI accelerates execution, while engineers define the objectives, break complex problems into manageable steps, and make the final decisions. AI expands the search space. Engineers determine where to look.
— Lei Huang, Chief Engineer View on LinkedIn →
This combination of engineering expertise and AI is helping Sieyuan accelerate the development of tools needed to integrate large scale renewable energy, HVDC, and grid forming resources into tomorrow's power systems. The completed power flow and dynamic models mark an important milestone, providing a strong foundation for future innovation. The work continues.
