Multiagent Framework for Smart Grids Recovery
提出一个基于静态和移动智能体的框架，用于智能电网的建模、仿真和故障恢复，通过故障分类和实时数据库更新提高恢复效率，实验验证了效果。
Failure propagation in smart grids (SGs) complicates and prolongs the recovery time as the faults to be resolved increase. This paper presents the design and implementation of a framework for SGs modeling, simulation, and recovery. The proposed approach is based on a multiagent system composed of static and mobile agents to ensure local and remote resolutions. The efficiency and completeness of the power system recovery protocol are proved as all the existing solutions are analyzed. The use of fault classification and a performing communication process as well as the deployment of local distributed databases updated at run-time ensure the effectiveness of the proposed fault recovery strategy. An experimental study confirms and validates the expected results.