Stochastic Voltage Assessment of Unbalance Radial Feeder

This paper presents voltage assessment indices for unbalance radial feeder in smart grid application. These indices are voltage stability margin, voltage deviation index, voltage profile and voltage unbalance factor. Voltage assessments are based on unique two-bus π-network model having time vary...

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Main Authors: Jagdish Prasad Sharma, H. Ravishankar Kamath
Format: Article
Language:English
Published: ESRGroups 2015-09-01
Series:Journal of Electrical Systems
Subjects:
Online Access:https://journal.esrgroups.org/jes/papers/11_3_2.pdf
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spelling doaj-c21be1100032446a89a6c9550789e3232020-11-25T03:37:31ZengESRGroupsJournal of Electrical Systems1112-52091112-52092015-09-01113258270Stochastic Voltage Assessment of Unbalance Radial Feeder Jagdish Prasad SharmaH. Ravishankar KamathThis paper presents voltage assessment indices for unbalance radial feeder in smart grid application. These indices are voltage stability margin, voltage deviation index, voltage profile and voltage unbalance factor. Voltage assessments are based on unique two-bus π-network model having time varying composite voltage sensitive load for every 15 mintues. Each node of feeder have three different time varying load categories consumers (industrial, commercial and residential), which is more practical to actual feeder. Characteristics and composition of residential, industrial and commercial consumers are accounted through time varying static composite load models. Composite load modelling is combination of constant impedance, constant current and constant power. The load flow solution is based on two port network modeling, load modeling and forward- backward sweep technique. Developed indices were calculated for modified IEEE 37 node test feeder with consideration of 15 minutes characteristics time interval for load modeling to meet out requirement of smart grid implementation. Simulation results demonstrate the validity and effectiveness of proposed indices for smart grid applications https://journal.esrgroups.org/jes/papers/11_3_2.pdfstochastic load modelingdistribution system modelingtwo-bus network pi modelvoltage stability marginvoltage assessment.
collection DOAJ
language English
format Article
sources DOAJ
author Jagdish Prasad Sharma
H. Ravishankar Kamath
spellingShingle Jagdish Prasad Sharma
H. Ravishankar Kamath
Stochastic Voltage Assessment of Unbalance Radial Feeder
Journal of Electrical Systems
stochastic load modeling
distribution system modeling
two-bus network pi model
voltage stability margin
voltage assessment.
author_facet Jagdish Prasad Sharma
H. Ravishankar Kamath
author_sort Jagdish Prasad Sharma
title Stochastic Voltage Assessment of Unbalance Radial Feeder
title_short Stochastic Voltage Assessment of Unbalance Radial Feeder
title_full Stochastic Voltage Assessment of Unbalance Radial Feeder
title_fullStr Stochastic Voltage Assessment of Unbalance Radial Feeder
title_full_unstemmed Stochastic Voltage Assessment of Unbalance Radial Feeder
title_sort stochastic voltage assessment of unbalance radial feeder
publisher ESRGroups
series Journal of Electrical Systems
issn 1112-5209
1112-5209
publishDate 2015-09-01
description This paper presents voltage assessment indices for unbalance radial feeder in smart grid application. These indices are voltage stability margin, voltage deviation index, voltage profile and voltage unbalance factor. Voltage assessments are based on unique two-bus π-network model having time varying composite voltage sensitive load for every 15 mintues. Each node of feeder have three different time varying load categories consumers (industrial, commercial and residential), which is more practical to actual feeder. Characteristics and composition of residential, industrial and commercial consumers are accounted through time varying static composite load models. Composite load modelling is combination of constant impedance, constant current and constant power. The load flow solution is based on two port network modeling, load modeling and forward- backward sweep technique. Developed indices were calculated for modified IEEE 37 node test feeder with consideration of 15 minutes characteristics time interval for load modeling to meet out requirement of smart grid implementation. Simulation results demonstrate the validity and effectiveness of proposed indices for smart grid applications
topic stochastic load modeling
distribution system modeling
two-bus network pi model
voltage stability margin
voltage assessment.
url https://journal.esrgroups.org/jes/papers/11_3_2.pdf
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