摘要
采用人工神经网络控制器解决了快速励磁、电阻掣动和快速汽门控制三种不同类型的控制措施之间的协调问题。算例表明可以靠人工神经网络励磁控制使远端发电机静稳极限达到机端电压恒定的线路功率极限，再靠快速励磁、电阻掣动和快速汽门控制三者的协调控制使发电机在瞬时故障和永久故障下的暂稳极限都接近事故前的静稳极限。
? The coordination problem of fast exciter, resistor braking and fast valving control is solved with artificial neural network(ANN) controller. Simulation results show that the steady stability limits of the generator can be up to the power transmission limits under an unchanged generator terminal voltage of the lines. The transient stability limits of the generator under transient faults and forever faults can be close to the steady stability limits of the generator with the coordination of fast exciter, resistor braking and fast valving control. Therefore, the stability problem of a remote thermal plant can be solved very well with this method.
出处
《清华大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
1997年第7期67-70,共4页
Journal of Tsinghua University(Science and Technology)
