Harmonic Source Estimation in Distribution Systems

G. D’Antona

doi:10.1109/TIM.2011.2126910

Return

Harmonic Source Estimation in Distribution Systems

2011-10-01

PRE

G. D’Antona *

Carlo Muscas

Paolo Attilio Pegoraro

Sara Sulis

DOI：10.1109/TIM.2011.2126910

Original

Original request for help

Save

Abstract

En 中文

In power systems, knowledge of system state is required to operate management and control issues, such as energy dispatching and protection coordination. The authors have recently proposed a novel procedure for harmonic source estimation, based on a Bayesian approach, which is aimed at giving distribution network operator information about the possible presence of harmonic producing loads, along with an indication about the reliability of such information. Both measured (the real-time information coming from the field) and a priori information, along with their uncertainty, are used to estimate the forcing terms (i.e., the harmonic currents actually injected by the nonlinear loads) and to evaluate the uncertainty of these estimates. In this paper, significant improvements in the procedure are presented. A Metropolis-Hastings approach is applied to obtain the posterior distributions of each Bayesian estimation process. As a consequence, the harmonic sources are evaluated, along with a full uncertainty description. The methodology is applied to a small distribution network, and the obtained results are properly analyzed.

Keywords:

Bayesian estimation

electric distribution system

harmonic state estimation (HSE)

localization of harmonic sources

Metropolis-Hastings (M-H) approach

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.