Open AccessProbabilistic harmonic load flow using fast point estimate method
Author(s) -
Mohammadi Mohammad
Publication year - 2015
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2014.0669
Subject(s) - probabilistic logic , monte carlo method , harmonics , electric power system , computer science , point (geometry) , harmonic , probabilistic method , mathematical optimization , algorithm , point estimation , power flow , flow (mathematics) , power (physics) , mathematics , engineering , voltage , artificial intelligence , statistics , physics , geometry , quantum mechanics , electrical engineering
Harmonics originated by non‐linear elements connected to power systems cause unwanted harmful technical problems. In this study a novel probabilistic harmonic load flow based on a point estimate method has been proposed. The proposed method surpasses the previous point estimate methods (PEMs) when generalising the approach to multiple random variables with various probabilistic distributions. Addressing the results of the Monte Carlo simulation (MCS) method as reference, the fast PEM has been applied to a modified version of the IEEE 14 bus test system and the advantages of this new method are highlighted. The results reveal less computational burden and time compared with the MCS method while the accuracy remains at a high level.