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首页> 外文期刊>IEEE Transactions on Power Systems >Invariant subspace parametric sensitivity (ISPS) of structure-preserving power system models
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Invariant subspace parametric sensitivity (ISPS) of structure-preserving power system models

机译:保结构电力系统模型的不变子空间参量灵敏度(ISPS)

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摘要

In this paper, the parametric sensitivities of a structure-preserving power system model are derived. The parametric sensitivities give the sensitivities of an equilibrium point with respect to a particular parameter of interest. A new invariant subspace parametric sensitivity (ISPS) is derived by projecting the total parametric sensitivity onto a particular eigenspace of interest. The ISPS provides the sensitivity of system stability. At a particular eigensubspace, ISPS of all the parameters under consideration are represented by a right eigenvector multiplied by a scalar /spl sigma/. Then the parameter which has the most influence on the subspace can be determined by selecting the largest value of /spl sigma/. The methodology is applied to a New England 39-bus system to identify components and parameters that are responsible fora possible system instability.
机译:本文推导了结构保持电力系统模型的参数敏感性。参数灵敏度给出相对于所关注的特定参数的平衡点的灵敏度。通过将总参数灵敏度投影到感兴趣的特定本征空间上,可以得出新的不变子空间参数灵敏度(ISPS)。 ISPS提供了系统稳定性的敏感性。在特定的本征子空间,所考虑的所有参数的ISPS用右本征向量乘以标量/ spl sigma /表示。然后,可以通过选择/ spl sigma /的最大值来确定对子空间影响最大​​的参数。该方法应用于新英格兰39总线系统,以识别造成系统可能不稳定的组件和参数。

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