Stochastic approach of voltage optimization to maximize power saving in a building

Stochastic approach of voltage optimization to maximize power saving in a building

This paper presents the energy saving analysis by using voltage optimization technique, via Stochastic approach in an unbalanced three phase building distribution system. The voltage optimization technique is performed by installing voltage regulator units connected in series with every incoming tra...

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Published in:Indonesian Journal of Electrical Engineering and Computer Science
Main Author: Arriffin A.M.; Othman M.M.; Kamaruzaman A.A.M.; Musirin I.; Yahya A.; Latip M.F.A.
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2017
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85037642135&doi=10.11591%2fijeecs.v8.i1.pp268-272&partnerID=40&md5=49031af503f2aefc87b779ab31e7e679
id 2-s2.0-85037642135
spelling 2-s2.0-85037642135
Arriffin A.M.; Othman M.M.; Kamaruzaman A.A.M.; Musirin I.; Yahya A.; Latip M.F.A.
Stochastic approach of voltage optimization to maximize power saving in a building
2017
Indonesian Journal of Electrical Engineering and Computer Science
8
1
10.11591/ijeecs.v8.i1.pp268-272
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85037642135&doi=10.11591%2fijeecs.v8.i1.pp268-272&partnerID=40&md5=49031af503f2aefc87b779ab31e7e679
This paper presents the energy saving analysis by using voltage optimization technique, via Stochastic approach in an unbalanced three phase building distribution system. The voltage optimization technique is performed by installing voltage regulator units connected in series with every incoming transformer with optimize tap setting, via Stochastic approach using MATLAB® and SIMULINK® software. The results show a substantial improvement in terms of overall cost of energy consumption compared to the base case. © 2017 Institute of Advanced Engineering and Science. All rights reserved.
Institute of Advanced Engineering and Science
25024752
English
Article
author Arriffin A.M.; Othman M.M.; Kamaruzaman A.A.M.; Musirin I.; Yahya A.; Latip M.F.A.
spellingShingle Arriffin A.M.; Othman M.M.; Kamaruzaman A.A.M.; Musirin I.; Yahya A.; Latip M.F.A.
Stochastic approach of voltage optimization to maximize power saving in a building
author_facet Arriffin A.M.; Othman M.M.; Kamaruzaman A.A.M.; Musirin I.; Yahya A.; Latip M.F.A.
author_sort Arriffin A.M.; Othman M.M.; Kamaruzaman A.A.M.; Musirin I.; Yahya A.; Latip M.F.A.
title Stochastic approach of voltage optimization to maximize power saving in a building
title_short Stochastic approach of voltage optimization to maximize power saving in a building
title_full Stochastic approach of voltage optimization to maximize power saving in a building
title_fullStr Stochastic approach of voltage optimization to maximize power saving in a building
title_full_unstemmed Stochastic approach of voltage optimization to maximize power saving in a building
title_sort Stochastic approach of voltage optimization to maximize power saving in a building
publishDate 2017
container_title Indonesian Journal of Electrical Engineering and Computer Science
container_volume 8
container_issue 1
doi_str_mv 10.11591/ijeecs.v8.i1.pp268-272
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85037642135&doi=10.11591%2fijeecs.v8.i1.pp268-272&partnerID=40&md5=49031af503f2aefc87b779ab31e7e679
description This paper presents the energy saving analysis by using voltage optimization technique, via Stochastic approach in an unbalanced three phase building distribution system. The voltage optimization technique is performed by installing voltage regulator units connected in series with every incoming transformer with optimize tap setting, via Stochastic approach using MATLAB® and SIMULINK® software. The results show a substantial improvement in terms of overall cost of energy consumption compared to the base case. © 2017 Institute of Advanced Engineering and Science. All rights reserved.
publisher Institute of Advanced Engineering and Science
issn 25024752
language English
format Article
accesstype
record_format scopus
collection Scopus
_version_ 1809677908201963520

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