AI驱动的混合框架提升电网自适应控制能力
An AI-Enabled Hybrid Cyber-Physical Framework for Adaptive Control in Smart Grids
- 三层次架构融合物理、网络与控制层，以能源管理系统为核心
- 在IEEE 33节点系统上实现电网稳定与调度优化，响应动态变化
- 支持云端独立与云辅助两种模式，适配不同场景需求
智能电网的发展需要灵活且自适应的控制方法。本文提出一种融合物理与网络层的协同混合框架，旨在实现可持续、可扩展的智能电网控制。该框架采用三层结构（物理层、网络层、控制层），以能源管理系统为核心，结合自适应动态规划（ADP）与人工智能优化技术，提升系统的可持续性与可扩展性。部署考虑两种情景：独立云与云辅助模式，分别用于测试低延迟本地决策与集中式控制场景。在标准IEEE 33-Bus系统上的仿真验证表明，该框架能有效保障电网稳定性，优化电力调度，并快速响应不断变化的电网动态。
原文摘要 · Abstract (English)
Evolving smart grids require flexible and adaptive control methods. A harmonized hybrid cyber-physical framework, which considers both physical and cyber layers and ensures adaptability, is one of the critical challenges to enable sustainable and scalable smart grids. This paper proposes a three-layer (physical, cyber, control) architecture, with an energy management system as the core of the system. Adaptive Dynamic Programming(ADP) and Artificial Intelligence-based optimization techniques are used for sustainability and scalability. The deployment is considered under two contingencies: Cloud Independent and cloud-assisted. They allow us to test the proposed model under a low-latency localized decision scenario and also under a centralized control scenario. The architecture is simulated on a standard IEEE 33-Bus system, yielding positive results. The proposed framework can ensure grid stability, optimize dispatch, and respond to ever-changing grid dynamics.
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