A Novel Method of Polynomial Approximation for Parametric Problems in Power Systems

Yongzhi Zhou, Hao Wu, Chenghong Gu, Yonghua Song

Research output: Contribution to journalArticle

10 Citations (Scopus)
141 Downloads (Pure)

Abstract

Many problems in power systems depend on parameters, which could be stochastic variables or deterministic system control variables practically, e.g., generation outputs, nodal voltages, etc. Due to the nonlinearity of power systems, the analytical relation between system states and parameters cannot be obtained directly. Using the sampling method to evaluate the influence of parameters on system states is very powerful but time-consuming. One feasible approach is to use polynomial approximations, where the system states are approximately expressed in the form of polynomials in terms of parameters. Galerkin method can be used to identify the approximate solution with high accuracy by solving high-dimensional equations. However, if a large number of parameters are involved, solving these high-dimensional equations becomes a serious challenge. This paper proposes an innovative method for resolving these high-dimensional equations in power systems, which constructs a sequence of decoupled equations to determine the polynomial expansion coefficients. This new approach can provide a local approximation in the form of Taylor expansion at a given operation point. Although the method is general, for simplicity and good readability, we introduce the detailed process in its application to load flow problems. Case studies from 6-, 118-, and 1648-bus system show that the proposed method provides approximation more efficiently than traditional Galerkin method does, and 3-order polynomials can give very accurate results.

Original languageEnglish
Article number7728091
Pages (from-to)3298-3307
Number of pages10
JournalIEEE Transactions on Power Systems
Volume32
Issue number4
Early online date1 Nov 2016
DOIs
Publication statusPublished - Jul 2017

Keywords

  • Galerkin method
  • load flow problems
  • parametric problems
  • perturbation method
  • polynomial approximation

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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