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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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 |
work_keys_str_mv |
AT jagdishprasadsharma stochasticvoltageassessmentofunbalanceradialfeeder AT hravishankarkamath stochasticvoltageassessmentofunbalanceradialfeeder |
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