Blackout risk analysis and control of power system integrated with wind farm

With the increase of wind power penetration, the characteristics of the wind farm have brought a significant impact on the security of power system. It is urgent to study how to reduce the risk of cascading failures while improving the environmental benefits. In this paper, a cascading failure model containing wind farm is proposed, which considers wind power characteristics, such as the structure of wind farm, the randomness of power of wind farm, the virtual inertia control of wind turbine, and the disconnection response of wind turbine after short-circuit faults. In order to identify the key factors of blackout, decision tree is used to analyze results generated from this blackout model. Preventive control is adopted to decrease the probability or effect of critical attributes that can be found in decision tree. The blackout risk of IEEE 30 test system integrated with wind farm is analyzed. Several key factors, such as disconnection of wind turbines from the grid and certain transmission lines, are identified by decision tree. Besides, the effectiveness of the virtual inertial control of wind turbine, reactive power compensation and line construction is verified by simulation.