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Design for Interference Suppression Intelligent Controller Based on Minimax Theory

机译:基于MIMIMAX理论的干扰抑制智能控制器设计

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This paper focuses on modifying generalized Hamilton system-based minimax theory for solving the interference suppression of multi-machine power systems with coupling performance. The system determines the interference suppression controller and reduces the conservatism of the traditional method by calculating the worst interference degree. The results of simulation show that this method and control strategy can make the system state converge to the initial equilibrium point rapidly under the influence of large disturbance to effectively improve the transient stability performance of power system.
机译:本文侧重于修改广义汉密尔顿系统的基于耦合性能的多机动力系统的干扰抑制的基于广义汉密尔顿系统的最小值理论。系统通过计算最差干扰程度来确定干扰抑制控制器并降低传统方法的保守主义。仿真结果表明,该方法和控制策略可以使系统状态在大扰动的影响下快速收敛到初始平衡点,以有效地提高电力系统的瞬态稳定性性能。

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