A multi-agent approach to power system disturbance diagnosis

Power system disturbance diagnosis is a complex and time consuming task, requiring skilled engineers. Existing intelligent systems which assist with data interpretation require the engineer to further interpret and collate generated information so that a comprehensive diagnosis can be produced. Furthermore, long-term extensibility and flexibility are also restricted. This paper presents a multi-agent approach to power system disturbance diagnosis where existing intelligent systems are wrapped up as intelligent agents and, through a process of inter-agent communication, collaborate to provide disturbance diagnosis. This novel approach enables timely automated disturbance diagnosis within a flexible and extensible architecture.