Equivalent Modeling of LVRT Characteristics for Centralized DFIG Wind Farms Based on PSO and DBSCAN

As large-scale wind turbines are connected to the grid, modeling studies of farms essential power system dynamic research. Due large number in farm, detailed each turbine leads high model complexity and low simulation efficiency. An equivalent method for farm is needed reduce complexity. For with widely used doubly-fed induction generators (DFIGs), existing mainly focus on such continuous control parts as electrical control. These methods unsuitable voltage ride through (LVRT) part which discontinuous due switching Based particle swarm optimization (PSO) density-based spatial clustering applications (DBSCAN), this paper proposes an LVRT characteristics farms. Firstly, multi-turbine established. Each represents a cluster similar variation characteristics. A single transmission line connects all grid. By changing terminal threshold enter LVRT, can be different states. Secondly, parameter based PSO obtain parameters turbines. This applicable parameters. Thirdly, DBSCAN suitable clusters classify distances into same cluster. Finally, two examples set up verify proposed method.