摘要：AbstractSub-synchronous control interaction (SSCI) is a stability problem caused by the interaction between the control system of doubly fed induction generator and a series-capacitor compensated electrical network. It, if not properly handled, could lead to system instability. Therefore, effective control measures must be taken to solve this problem. However, a practical control should be capable of depressing SSCI under varied operating conditions with different SSCI frequency. In this paper, the basic modeling and general characteristic of SSCI in Guyuan wind power system is firstly introduced. And the control-design task is formulated into a complex nonlinear optimization problem with many operation conditions. Then, a combination of genetic algorithm and simulated annealing, namely GA-SA, is proposed to solve the nonlinear optimization problem for multi-operation state. Next, simulations using RT-LAB are presented to demonstrate the effectiveness of our proposed control-design method. Finally, a brief conclusion is drawn that GA-SA offers an excellent approach to the optimal design of SSCI controllers.
