A multi-agent system-based intelligent identification system for power plant control and fault-diagnosis

A large-scale power system is required to have a new control system to operate at a higher level of automation, flexibility, and robustness. In this paper, a multi-agent system based intelligent identification system (MAS-IIS) is presented for identification and fault-diagnosis methodologies that improve the performance of the plant in a wide-range of operation. With proposed architecture of a single agent and an organization of the multi-agent system, the MAS-IIS realizes on-line adaptive identifiers for control, and off-line identifiers for fault-diagnosis in real-time power plant operation. The proposed MAS-IIS is one of the functions in multi-agent system based intelligent control systems (MAS-ICSs) which has several functions that provide efficient ways to control locally and globally, and to accommodate and overcome the complexity of large-scale distributed systems