【摘要】 电力系统稳定器(PSS)对于抑制电力系统低频振荡简单有效,因而得到了普遍应用。一般采用工程整定方法设计PSS参数,这种方法难以达到优化控制效果。利用辨识参数获得参数初值,采用基于分层多子群的均匀分布混沌粒子群算法(HUCPSO)优化PSS参数,利用2机5节点系统非线性仿真模型对所得参数进行仿真。结果表明,相比于传统方法及其他智能优化算法,采用该方法优化设计的PSS具有更好的性能,所得到的控制参数使系统动态调节性能得到提高。更多还原

【Abstract】 Power system stabilizer(PSS) is widely used for its simplicity and effectiveness in suppressing low frequency oscillations of power system.PSS parameters designed by engineering setting method are used,but it can’ t reach optimal control effect.Based on identification of parameters to obtain optimal range,and uniform distribution is based on layered fertility group of chaotic particle swarm optimization(HUCPSO) of PSS parameters,nonlinear simulation model of 2-machine 5-node system is used to simulate the parameters obtained.The simulation results show that the PSS design optimized by using this method has better performance compared with the traditional methods and other intelligent optimization algorithms.The obtained control parameters can improve the system dynamic regulation performance.更多还原