Project Overview

While the power grids are becoming more complex, the effort of managing them also is becoming much more complicated. Traditional approaches fail to cope with fast and dynamic developments of modern energy systems and fail to integrate new technologies and rising data streams effectively. Also, most of the existing grid management software is very slow in including new energy sources; hence, the new adaptation is cumbersome and prone to errors. This may cause inefficiencies, and even systems may fail due to this, which might threaten both reliability and safety. GridGPT 2.0 can solve these issues by enabling operators to use natural language to generate and modify Distribution System Simulator (DSS) scripts. This approach simplifies the management of complex grid data, reduces the likelihood of human errors, and enhances overall grid efficiency and reliability.

The goal of our project is to develop an AI-driven virtual assistant that integrates with GridAI, assisting our users with understanding and interacting with complex electric power grid data to make well informed decisions.