Probabilistic Load Flow Based on Generalized Polynomial Chaos

Authors:

21 April 2016

journal article
research article
Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Power Systems

Vol. 32 (1) , 820-821
DOI:10.1109/tpwrs.2016.2543143

Abstract

An analytical method based on generalized polynomial chaos (gPC) is proposed for probabilistic load flow (PLF). The method preserves the nonlinearity of power flow equations whose rectangular formulations are adopted to facilitate the gPC expansion. The feasibility of the method is demonstrated by case studies from a 9-bus system.

Keywords

RANDOM VARIABLES
MATHEMATICAL MODEL
CHAOS
PROBABILISTIC LOGIC
LOAD FLOW
POWER SYSTEM DYNAMICS

This publication has 3 references indexed in Scilit:

Numerical Methods for Stochastic Computations
2010
Probabilistic load flow: A review
2008
The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations
SIAM Journal on Scientific Computing, 2002