Bi-level Optimization Decision for Unit Recovery Sequence Considering Black-start Value of Multiple Wind Farms

Abstract

The access of large-scale wind power has brought fundamental changes in the current energy structure of power system, and also has brought huge impacts on power system recovery process after the blackout. Aiming at the power system recovery with multiple wind farms, the determination method of typical scenarios for output of multiple wind farms is constructed considering the spatial cluster effect, and an evaluation function of black-start value for multiple wind farms is put forward, and a bi-level optimization model of unit recovery sequence is proposed with the comprehensive net income function as the evaluation criterion. The upper model solves the initial target unit set that can be recovered in the current system to reduce the solution scope of the recovery strategy. The lower model obtains unit recovery sequence combination of wind power and thermal power units from initial target unit set, which get the largest comprehensive net benefit, and the recovery paths are solved according to the importance of dynamic ally recoverable nodes. Finally, the effectiveness of the proposed decision method is verified in IEEE 39-node system with wind turbines.