摘要
电力系统稳定器(PSS)为励磁系统产生辅助控制信号来改善系统阻尼进而抑制低频振荡。迄今为止,已提出了多种不同的PSS设计方法,并得到了不同程度的应用。在此背景下,通过小干扰特征值分析和大干扰故障时域仿真,对传统PSS(CPSS)、单神经元PSS(SNPSS)、自适应PSS(APSS)和多频带PSS(MBPSS)4种有代表性的PSS设计方法的原理和特性进行比较研究,为使比较研究具有共同的基础,这4种PSS的参数都采用最速下降法优化确定。最后,以8机24节点系统为例进行了大量仿真计算,对这4种PSS设计方法的性能进行了比较分析,得到了一些有意义的结论。
The well-known power system stabilizer（PSS） is used to generate supplementary control signals for the excitation system of a generator so as to damp low frequency oscillations in the power system concerned.Up to now,various kinds of PSS design methods have been proposed and some of them applied in actual power systems with different degrees.Given this background,the small-disturbance eigenvalue analysis and large-disturbance dynamic simulations in the time domain are carried out to evaluate the performances of four different PSS design methods,including the conventional PSS（CPSS）,single neuron PSS（SNPSS）,adaptive PSS（APSS） and multi-band PSS（MBPSS）.To make the comparisons equitable,the parameters of the four kinds of PSSs are all determined by the steepest descent method.Finally,an 8-unit 24-bus power system is employed to demonstrate the performances of the four kinds of PSSs by the well-established eigenvalue analysis as well as numerous digital simulations,and some useful conclusions obtained.
出处
《电力系统自动化》
EI
CSCD
北大核心
2013年第3期30-37,共8页
Automation of Electric Power Systems
基金
国家科技支撑计划资助项目(2011BAA07B02)
澳大利亚国家自然科学基金资助项目(DP120101345)~~
关键词
电力系统稳定器
特征值分析
小干扰稳定
机电模式
power system stabilizer（PSS）
eigenvalue analysis
small-signal stability
electromechanical mode
