遗传算法优化PD型PSS和AVR控制增强电力系统小信号稳定性

B. Rout, B. B. Pati, Ashribad Pattnaik
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引用次数: 3

摘要

通过对振动的机电模式增加足够的阻尼力矩,改善了小信号振荡的不稳定性。针对小信号稳定性问题,考虑了单机无限母线(SMIB)等效线性化模型Heffron-Philips (HP)模型。同步发电机中带有自动调压器(AVR)的电力系统稳定器(PSS)产生足够的阻尼转矩和同步转矩,从而在系统变量发生微小变化时稳定小信号的不稳定性。本文提出了一种基于PD的PSS控制设计,通过减小系统响应中恒阻尼比下的整定时间来补充阻尼力矩,减少瞬态振荡。采用遗传算法对控制器参数进行整定,以使速度偏差最小为目标函数。通过对不同载荷条件下的时域分析,验证了该控制器的有效性。整个工作在MATLAB环境平台下进行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Small Signal Stability Enhancement of Power System with GA Optimized PD type PSS and AVR Control
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.
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