摘要
为了实现智能电网的自愈控制,采用多智能体(MAS)对电网自愈控制进行建模与分析,提出了一种基于MAS的电网自愈控制结构。针对自愈电网的分布式分层控制结构,具体设计了故障在线实时监测及诊断子系统。系统根据电网实时监测数据,判断电网运行状态;当电网发生故障时,融合电气量及开关量数据,采用故障模式匹配和Petri网技术分别对电气量及开关量进行故障特征提取,并通过D-S证据理论融合,得出诊断决策。该系统为快速、准确地隔离电网故障并实现电网自愈控制提供了新的途径。
To implement the self-healing control of intelligent power grid, the MAS technology is adopted for modeling and analyzing, and the MAS-based grid self-healing control structure is proposed. Aiming at the distributed hierarchical control structure self-healing power grid, the real time online fault monitoring system and diagnostic subsystems are designed specifically. In accordance with real time grid monitoring data, the running state of grid is judged; when the fault occurs, the electrical values and the discrete values are merged. The fault features are extracted from the electrical values and discrete values respectively by adopting fault pattern matching and Petri technology, then through D-S evidence theory for fusing; then the diagnostic decision is obtained. The system offers the new path to isolate grid fault rapidly and correctly for implementing grid self-healing control.
出处
《自动化仪表》
CAS
北大核心
2013年第1期14-17,共4页
Process Automation Instrumentation
作者简介
第一作者陈铁军（1954-），男，1989年毕业于西安交通大学自动化专业，获博士学位，教授；主要从事复杂系统控制与理论方面的研究。
