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A neuro-fuzzy power system stabilizer for self-organizing map for multi-machine systems

机译:用于多机系统的自组织地图的神经模糊电力系统稳定器

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A neuro-fuzzy adaptive power system stabilizer with self-organizing map is proposed in this paper. The controller is divided into two subsystems, the self-tuning identifier with variable forgetting factor for the generator and the fuzzy logic-based adaptive controller tuned by neural network on-line. The parameters of the fuzzy logic based P55 are divided into two categories, so do the on-line training algorithms for updating the parameters. The effectiveness of the proposed P55 in increasing the damping of local and inter-area modes of oscillation is demonstrated in a one-machine-infinite-bus system and a two-area system.
机译:本文提出了一种具有自组织地图的神经模糊自适应电力系统稳定器。控制器被分成两个子系统,自调谐标识符,具有变量忘记因子的发电机和基于模糊的基于逻辑的自适应控制器,由神经网络在线调谐。基于模糊逻辑的P55的参数分为两个类别,因此在线训练算法进行了更新参数。在一次机器 - 无限总线系统和两区域系统中,证明了所提出的P55在增加局部和区域间振荡模式中的阻尼的有效性。

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