Comparing unscented transformation and point estimate method for probabilistic power flow computation

Qing Xiao ^[1] ; Shaowu Zhou ^[1]
1. [1] Hunan University of Science and Technology
  
  Hunan University of Science and Technology
  
  China
Localización: Compel: International journal for computation and mathematics in electrical and electronic engineering, ISSN 0332-1649, Vol. 37, Nº 3, 2018, págs. 1290-1303
Idioma: inglés
Enlaces
- Texto completo
Resumen
- Purpose Unscented transformation (UT) and point estimate method (PEM) are two efficient algorithms for probabilistic power flow (PPF) computation. This paper aims to show the relevance between UT and PEM and to derive a rule to determine the accuracy controlling parameters for UT method.
  
  Design/methodology/approach The authors derive the underlying sampling strategies of UT and PEM and check them in different probability spaces, where quadrature nodes are selected.
  
  Findings Gauss-type quadrature rule can be used to determine the accuracy controlling parameters of UT. If UT method and PEM select quadrature nodes in two probability spaces related by a linear transform, these two algorithms are equivalent.
  
  Originality/value It shows that UT method can be conveniently extended to (km + 1) scheme (k = 4; 6; : : : ) by Gauss-type quadrature rule.