Abstract: As the penetration rate of wind power in the power system gradually increases， large-scale grid-connection may cause poor power quality， instability of the power system， and even voltage collapse. The article proposes an energy storage configuration scheme that takes into account the effects of static voltage stability in a wind power system. It singularly decomposes the Jacobian matrix of the power flow， and calculates the condition number index according to the maximum and minimum singular values under all-day operating conditions. On the basis of the data at the time when the condition number is the maximum， the key nodes and key fans of the system are determined by using the weak node index and the generator participation factor to select the location of the energy storage configuration. This paper establishes an objective function that takes into account the constraints of the condition number to minimize the total active network loss， compares and analyzes the allocation capacity of energy storage in four different scenarios， uses particle swarm algorithm with convergence factor， and verifies with IEEE standard 39-node system. The results show that the energy storage capacity required at the key nodes is the least， and it is the most effective for static voltage stability control.

Key words: wind power grid-connection, energy storage system, capacity allocation, singular value decomposition, static voltage stability