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Large Language Model as An Operator: An Experience-Driven Solution for Distribution Network Voltage Control

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学术前沿 5.7 分 — 中等偏上:有一定信息增量和参考价值
原文: cs.AI updates on arXiv.org

评分 5.7 · 来源:cs.AI updates on arXiv.org · 发布于 2026-04-14

评分依据:中等偏上:有一定信息增量和参考价值

Large Language Model as An Operator: An Experience-Driven Solution for Distribution Network Voltage Control

arXiv:2507.14800v2 Announce Type: replace-cross Abstract: With the advanced reasoning, contextual understanding, and information synthesis capabilities of large language models (LLMs), a novel paradigm emerges for the autonomous generation of dispatch strategies in modern power systems. In this paper, we propose an LLM-based experience-driven day-ahead Volt/Var schedule solution for distribution networks, which enables the self-evolution of LLM agent’s strategies through the collaboration and…