PowerPlan-GPT: A Framework for Generating Intelligent Power Supply Solutions Based on Multimodal Models and Its Empirical Application Research

Amid the construction of new power systems, traditional power supply planning faces bottlenecks like delayed demand response and over-reliance on expert experience. This study proposes the PowerPlan-GPT framework, integrating multimodal large language models, graph spatio-temporal neural networks, and adaptive evolutionary algorithms to build a fourtier intelligent generation system. Leveraging RAG technology and rule-constrained reasoning, it achieves global optimization across cost, safety, and timeliness. Piloted in