A Multi-agent model based decentralized coordi-nated control for large power system transient stability improvement

The paper focuses on a multi-agent model based decentralized coordinated control scheme for large-scale power system transient stability improvement. First, a multi-agent model structure is constructed by using wide area measurements (WAMs). Moreover, the fuzzy control method is introduced in each agent mode to improve the power system transient stability in the form of online adjustment. The intelligent optimization control for whole system is realized through the tuning among each agent based on fuzzy rules. The effectiveness of the proposed multi-agent control is demonstrated through simulation examples. The simulation results indicate that the decentralized coordinated control base on wide area signals is more effective than the decentralized control system.