基于Minimax理论的多机电力系统干扰抑制控制器设计

为了解决具有耦合性能的多机电力系统的干扰抑制问题，提出了一种基于Minimax理论的干扰抑制算法.该方法将广义哈密顿理论进行改进，建立多机励磁系统的伪广义哈密顿形式，并将Minimax理论引入到具有干扰的多机电力系统中.通过构造与性能函数有关的检验函数，对多机励磁系统的最坏干扰程度进行计算，确定最大破坏程度下的干扰抑制控制器.该方法避免了对系统干扰程度的假设，降低了传统干扰抑制方法因为不等式放缩等原因造成的保守性.仿真结果表明，在大扰动影响下，该方法和控制策略能够使系统状态快速收敛于平衡点，能够有效提高电力系统的暂态稳定性能.

Design of Disturbance Suppression Controller for Multi-machine Power Systems Based on Minimax Theory

A disturbance suppression algorithm based on Minimax theory is proposed for solving the disturbance suppression of multi-machine power systems with coupling performance. A pseudo-generalized Hamilton form is established based on modifying generalized Hamilton system for multi-machine excitation system. By introducing the Minimax theory into the Hamiltonian power system with disturbances， the disturbance suppression controller is determined based on the worst disturbance situation. The degree of disturbance presumption can be avoided and the conservatism of the traditional method can be reduced. Simulation results show that the method and the control strategy can make the system state converge to the initial equilibrium point rapidly during large disturbances， which effectively improves the transient stability performance of power systems.