Research on the Stochasticity Control Strategy of Wind Farm Incorporating System Contingencies

The time evolution stochastic dynamics (TESD) and the unexpected stochastic event driven (USED) are significantly increased to change the dynamic characteristics of the power system operation. In this paper, a new algebraic differential model for the doubly-fed-induction generator (DFIG) in the wind farm is constructed to reflect the stochasticity of the TESD and the USED in the power system more intuitively, which is based on the Lyapunov transient stability theory and the noise to state stable (NSS) control theory. Sequentially, a new torque stochastic robust controller (TSRC) model construction method is proposed to apply more reliable and effective control to weaken the influence of the stochasticity on the whole system and reduce the pressure on the collaborative control of the power system in case of the stochastic large-scale system failure. This model shows that the wind farm system with the torque stochastic robust controller has higher robustness. Finally, a simulation of the New England 9-bus system with the DFIG is conducted to verify the applicability of the algebraic differential model in a deterministic system and the results show its potential application for the robust controller considering the power system with the wind farm.