In this paper, the Power system stabilizer (PSS) and (PID) are enhanced with a Chaotic Particle Swarm Optimization (CPSO) Damping Controller in order to suppression the Low-Frequency Oscillations (LFO) in a Single Machine Infinite Bus (SMIB) power system. Chaotic particle swarm optimization (CPSO) is used to tune the parameters of the PSS-PID. The design damping controller is an optimized lead-lag controller, which extracts the speed deviation of the generator rotor and generates the output feedback signal, which aims to modulate the reference values of the PSS-PID controller to achieve the best damping of LFO. In order to search the better damping option, the damping controller is applied to a series of the PSS-PID and the results are compared in two cases (PSS without PID and PSS with PID). The effectiveness of the proposed controller is achieved by time-domain simulation results in MATLAB environment, using three different operational conditions (Nominal, Light, and heavy). In addition, the results obtained from the PSS-PID were robust and more efficient compared to the PID only in terms of oscillations damping, overshoot minimizing and settling time reducing.

为了抑制单机无穷大总线（SMIB）电源中的低频振荡（LFO），本文使用混沌粒子群优化（CPSO）阻尼控制器增强了电源系统稳定器（PSS）和（PID）。系统。混沌粒子群优化（CPSO）用于调整PSS-PID的参数。设计阻尼控制器是一种优化的超前滞后控制器，可提取发电机转子的速度偏差并生成输出反馈信号，该信号旨在调制PSS-PID控制器的参考值，以实现LFO的最佳阻尼。为了搜索更好的阻尼选项，将阻尼控制器应用于一系列PSS-PID，并比较两种情况下的结果（不带PID的PSS和带PID的PSS）。所提出的控制器的有效性是通过在MATLAB环境中使用三种不同的运行条件（标称，轻和重）在时域仿真结果来实现的。此外，从PSS-PID获得的结果与PID相比，仅在振荡阻尼，过冲最小化和建立时间减少方面才是可靠且高效的。