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Small Signal Stability Enhancement of Power System with GA Optimized PD type PSS and AVR Control

机译:GA优化的PD型PSS和AVR控制可增强电力系统的小信号稳定性

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The small signal oscillatory instability is improved by adding sufficient damping torque for electromechanical modes of oscillations. The Heffron-Philips (HP) model which is equivalent linearization model of single machine infinite bus (SMIB) is considered for small signal stability. The power system stabilizer (PSS) with automatic voltage regulator (AVR) in synchronous generator produces sufficient damping torque and synchronizing torque so as to destabilize the small signal instability during small change in system variables. This paper presents the control design of PD based PSS which supplements the damping torque and reduces the transient oscillations by reducing setting time at constant damping ratio in system response. The controller parameters are tuned with Genetic Algorithm (GA) so as to minimize the speed deviation as objective function. The effectiveness of the controller is verified through time domain analysis at different loading conditions. The whole work is carried out under MATLAB environment platform.
机译:通过为振动的机电模式添加足够的阻尼扭矩,可以改善小信号的振荡不稳定性。考虑到单信号无限总线(SMIB)的等效线性化模型Heffron-Philips(HP)模型具有小的信号稳定性。同步发电机中带有自动电压调节器(AVR)的电力系统稳定器(PSS)会产生足够的阻尼扭矩和同步扭矩,从而在系统变量发生较小变化时使小信号不稳定变得不稳定。本文提出了基于PD的PSS的控制设计,该设计通过在系统响应中以恒定阻尼比减少设置时间来补充阻尼扭矩并减少瞬态振荡。控制器参数通过遗传算法(GA)进行调整,以使速度偏差最小化为目标函数。通过在不同负载条件下进行时域分析,可以验证控制器的有效性。整个工作是在MATLAB环境平台下进行的。

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