Optimal aim emergency control strategy based on multi-agent theory

The multi-agent theory is introduced and applied in fast valving, based on which an emergency control strategy of the power system is presented. The control structure has two layers: areal agent and local agents. The areal agent judges whether the power system is stable using unstable equilibrium point method. When an unstable state occurs, the local agents are triggered to send upward the angular velocities of generators and the areal agent calculates inertia center angular velocity. By comparing them, the areal agent determines which generator needs emergency control and sends downward the control commands. After receiving the commands, the local agents calculate control variables using optimal aim theory and realize emergency control using fast closure of valve. Simulations on a 4-machine system show that the proposed control strategy improves the system stability.