Neural Network Based Load Frequency Controller Design

摘要

A good quality of an electric power system is that both the frequency and voltage remain at the desired values during operation and transmission of power. The active and reactive power balance should be maintained between the generation and utilization of the AC power. If the load power changes, the frequency will oscillate and deviate from its rated value, leading to instability issues. Thus, a design of efficient load frequency control (LFC) is needed to maintain the frequency constant against continuous variation of loads, which is also referred as unknown external load disturbance. In this paper, we propose an online PID controller tuned based on neural networks. The method is applied on a single power area and two connected power areas. The parameters of the PID controller are updated by propagating the area control error on the two-layer neural network to minimize the deviation of frequency at each sampling time. The proposed method is compared with traditional controller design and shows good performance in terms of the overshoot, undershoot and settling time against practical change of load.