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提出了模糊神经网络电力系统稳定器与高压直流调制器的自适应在线协调控制策略,改善了系统在大扰动后的动态品质。该协调控制策略采用辨识器预测各个发电机在下一个采样点的角速度变化,并以其为变量构造目标函数对模糊控制器进行在线训练,使功角摇摆过程中各发电机间角速度差值的平方和最小。算法用于三区域双馈入直流系统的在线协调控制。仿真结果表明,自适应在线协调策略使系统在不同的运行状态和不同的故障下均具有良好的暂态稳定性,抑制了故障后系统的振荡。
The adaptive on-line coordinated control strategy between fuzzy neural network power system stabilizer and HVDC modulator is proposed to improve the dynamic quality of the system after large disturbance. The coordinated control strategy uses the recognizer to predict the angular velocity variation of each generator at the next sampling point and constructs an objective function using it as a variable to train the fuzzy controller online so that the square of the angular velocity difference between generators during the power angle sway And the smallest. The algorithm is applied to online coordinated control of three regions doubly fed DC system. The simulation results show that the adaptive on-line coordination strategy makes the system have good transient stability under different operating conditions and different faults, and restrain the system oscillation after the fault.