Global optimal polynomial approximation for parametric problems in power systems
作者： Yongzhi ZHOU , Hao WU , Chenghong GU , Yonghua SONG
DOI: 10.1007/S40565-018-0469-2
关键词:
摘要: The influence of parameters on system states for parametric problems in power systems is to be evaluated. These could renewable generation outputs, load factor, etc. Polynomial approximation has been applied express the nonlinear relationship between and parameters, governed by implicit equations. Usually, sampling-based methods are applied, e.g., data fitting sensitivity methods, However, accuracy stability these not guaranteed. This paper proposes an innovative method based Galerkin method, providing global optimal approximation. Compared traditional this enjoys high stability. IEEE 9-bus used illustrate its effectiveness, two additional studies including a 1648-bus performed show applications analysis.
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