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利用神经网络辨识单区域电力系统的动态模型，并结合模糊逻辑技术具体设计了一种单区域负荷频率的模糊自适应ＰＩＤ控制器。通过动态寻优确定最优性能指标下的ＰＩＤ控制器参数，使单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控制的广泛适应性。
A neural network is used to identify the dynamic model of single-area power system, and a fuzzy adaptive PID controller with single-zone load frequency is designed based on fuzzy logic. Through the dynamic optimization, the parameters of the PID controller under the optimal performance index are determined to make the single-zone load frequency control have both the non-linear control function and the self-learning adaptability and the wide adaptability of the PID control.