A multi-agent technology based predictive control strategy in cascading failures of large power grids

A real-time predictive control strategy based on multi-agent technology is presented to prevent cascading trips which can trigger a blackout accident in bulk power systems. The optimum principle of load shedding and generator tripping is also given. Every node in power grid is regarded as an agent differing from traditional distributed computation that used the subarea or substratum method. Each agent calculates independently and communicates with others simultaneously though its action module, data acquisition module, computation module and communication module. Then the optimal load shedding and generator tripping can be obtained by the proposed rolling optimization of predictive control method. The measurement data for the optimization algorithm can be acquired from WAMS.