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Optimum location of power system stabilizers based on probabilistic analysis

机译：基于概率分析的电力系统稳定器的最佳位置

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This paper introduces the probabilistic approach for the optimum location of power system stabilizers (PSSs). When the variation of nodal injected powers representing various load levels is described by statistical attributes and considered in eigenvalue analysis. the probabilistic distribution of a eigenvalue will be expressed by its expectation and variance under the assumption of normal distribution. The utilization of PSSs will improve both of the expectations and the variances for the critical eigenvalues. This paper therefore calculated, not only the sensitivities for the expectations and variances of eigenvalues but also the probabilistic distributions of these sensitivity coefficients which is accomplished by means of the second order sensitivity calculation of eigenvalues with respect to nodal injections and PSS gains. Probabilistic sensitivity indexes corresponding to conventional participation factors and residues are used for selecting the best PSS sites. The proposed probabilistic analysis approach is validated on a nine-bus testing system.
机译：本文介绍了电力系统稳定器（PSS）最佳位置的概率方法。当通过统计属性描述代表各种载荷水平的节点注入功率的变化并且在特征值分析中考虑。特征值的概率分布将通过其预期和差异在正常分布的假设下表达。 PSS的利用将改善关键特征值的期望和差异。因此，本文不仅计算了特征值的期望和差异，而且计算了这些灵敏度系数的概率分布，这些灵敏度系数通过关于节点注射和PSS增益的特征值的二阶灵敏度计算而完成的这些敏感系数。对应于传统参与因子和残基对应的概率敏感性指标用于选择最佳PSS位点。所提出的概率分析方法在九个总线测试系统上验证。

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