A Method for Site Selection and Capacity Determination of Distributed Condenser in Multiple Wind Power Qutput Scenarios

In power systems incorporating wind energy, the optimization of distributed condenser often considers only single or limited scenarios, while addressing both site selection and capacity determination simultaneously is less common. This paper proposes a method for site selection and capacity determination of distributed condenser under multiple wind power output scenarios. This method aims to enhance system voltage stability margins, reduce active power losses, and minimize installation costs by comprehensively considering the randomness of wind turbine output. First, based on Latin hypercube sampling and backward reduction method, representative wind power output scenarios are generated. Then, an optimization model for the distributed condensers under multiple scenarios is established, and the objective function is solved based on the particle swarm optimization algorithm. Finally, the IEEE 39-bus system based on wind power access verifies the effectiveness of the configuration method.