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利用神经网络动态辨识电力系统的动态模型，并将模糊逻辑技术与神经网络相结合、通过动态寻优确定最优性能指标下的ＰＩＤ控制器参数，具体设计了一种两区域负荷频率的神经模糊自适应ＰＩＤ 控制器。使两区域负荷频率控制既有非线性控制作用和自学习自适应能力，又有ＰＩＤ控制的广泛适用性
The dynamic model of power system is dynamically identified by neural network. The fuzzy logic technology is combined with neural network to determine the optimal PID controller parameters through dynamic optimization, and a kind of neural fuzzy Adaptive PID controller. So that the two regional load frequency control both the role of non-linear control and self-learning adaptive ability, but also a wide range of applicability of PID control