z-logo
open-access-imgOpen Access
Fault Diagnosis of Power Distribution Feeders with PV System Using Equivalent-Input-Disturbance Approach
Author(s) -
Bo Hu,
Jinhua She,
Ryuichi Yokoyama
Publication year - 2013
Publication title -
journal of advanced computational intelligence and intelligent informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 20
eISSN - 1343-0130
pISSN - 1883-8014
DOI - 10.20965/jaciii.2013.p0283
Subject(s) - disturbance (geology) , computer science , photovoltaic system , fault (geology) , estimator , control theory (sociology) , power (physics) , node (physics) , electric power system , control (management) , mathematics , engineering , artificial intelligence , statistics , paleontology , physics , structural engineering , quantum mechanics , seismology , geology , electrical engineering , biology
This paper describes a fault diagnosis method based on the equivalent-input-disturbance (EID) approach to power distribution feeders connected to a photovoltaic (PV) system. Node faults are treated as a system disturbance and are estimated using an EID estimator. First, a dynamic model that contains both the PV system and a power supply utility for the feeder is built. Second, an EID estimator is constructed to estimate the disturbance to the system on the control input channel. Third, a method for abstracting the amount caused by the PV system in the EID is presented to estimate the effect caused by faults. Simulation results demonstrate the validity and superiority of the method.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom