Loading…
Customer reward-based demand response program to improve demand elasticity and minimise financial risk during price spikes
In this study, a customer reward scheme is proposed to build an effective demand response program for improving demand elasticity. First, an objective function has been formulated based on the market operation and an optimal incentive price has been derived from this objective function. Second, the...
Saved in:
Published in: | IET generation, transmission & distribution transmission & distribution, 2018-08, Vol.12 (15), p.3764-3771 |
---|---|
Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Request full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c3341-32a0db80ecfd786da23dd25a96190eefe81bce141927da7a6a4f78cc530eaf593 |
---|---|
cites | cdi_FETCH-LOGICAL-c3341-32a0db80ecfd786da23dd25a96190eefe81bce141927da7a6a4f78cc530eaf593 |
container_end_page | 3771 |
container_issue | 15 |
container_start_page | 3764 |
container_title | IET generation, transmission & distribution |
container_volume | 12 |
creator | Vu, Dao H Muttaqi, Kashem M Agalgaonkar, Ashish P Bouzerdoum, Abdesselam |
description | In this study, a customer reward scheme is proposed to build an effective demand response program for improving demand elasticity. First, an objective function has been formulated based on the market operation and an optimal incentive price has been derived from this objective function. Second, the incentive price is employed as a part of a reward scheme to encourage customers to reduce their electricity demand to a certain level during peak hours. Two typical customer response scenarios are studied to investigate the impact of customer response sensitivity on the loss of utilities’ and customers’ profits. Finally, a dataset for the state of New South Wales, Australia is employed as a case study to examine the effectiveness of the proposed scheme. The obtained results show that the proposed scheme can help improve the elasticity of demand significantly thereby reducing the associated financial risk greatly. Moreover, the proposed scheme allows customers to get involved voluntarily and maximise their profits with minimum sacrifice of their comfort levels. |
doi_str_mv | 10.1049/iet-gtd.2017.2037 |
format | article |
fullrecord | <record><control><sourceid>wiley_24P</sourceid><recordid>TN_cdi_crossref_primary_10_1049_iet_gtd_2017_2037</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>GTD2BF02031</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3341-32a0db80ecfd786da23dd25a96190eefe81bce141927da7a6a4f78cc530eaf593</originalsourceid><addsrcrecordid>eNqFkM1OAyEQgInRxFp9AG-8ABX2j11vWm01aeKlnskUZhvaZbeBrU19etlUPeplfsh8A3yE3Ao-ETyr7iz2bN2bScKFjCGVZ2QkZC5YWVT5-W9dyktyFcKG8zwvMjkin9N96DuHnno8gDdsBQENNeigNfEs7Lo2IN35bu3B0b6j1sXmA39GsIHQW237Ix1aZ1vrbCRq20KrLTTU27ClZu9tu457rEYadnaL4Zpc1NAEvPnOY_I-e15OX9jibf46fVgwnaaZYGkC3KxKjro2siwMJKkxSQ5VISqOWGMpVhpFJqpEGpBQQFbLUus85Qh1XqVjIk57te9C8Fir-AoH_qgEV4M8FeWpKE8N8tQgLzL3J-ZgGzz-D6j58il5nPFYiwizEzyMbbq9b-P3_rjsC1JZiPQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Customer reward-based demand response program to improve demand elasticity and minimise financial risk during price spikes</title><source>Wiley-Blackwell Open Access Collection</source><creator>Vu, Dao H ; Muttaqi, Kashem M ; Agalgaonkar, Ashish P ; Bouzerdoum, Abdesselam</creator><creatorcontrib>Vu, Dao H ; Muttaqi, Kashem M ; Agalgaonkar, Ashish P ; Bouzerdoum, Abdesselam</creatorcontrib><description>In this study, a customer reward scheme is proposed to build an effective demand response program for improving demand elasticity. First, an objective function has been formulated based on the market operation and an optimal incentive price has been derived from this objective function. Second, the incentive price is employed as a part of a reward scheme to encourage customers to reduce their electricity demand to a certain level during peak hours. Two typical customer response scenarios are studied to investigate the impact of customer response sensitivity on the loss of utilities’ and customers’ profits. Finally, a dataset for the state of New South Wales, Australia is employed as a case study to examine the effectiveness of the proposed scheme. The obtained results show that the proposed scheme can help improve the elasticity of demand significantly thereby reducing the associated financial risk greatly. Moreover, the proposed scheme allows customers to get involved voluntarily and maximise their profits with minimum sacrifice of their comfort levels.</description><identifier>ISSN: 1751-8687</identifier><identifier>ISSN: 1751-8695</identifier><identifier>EISSN: 1751-8695</identifier><identifier>DOI: 10.1049/iet-gtd.2017.2037</identifier><language>eng</language><publisher>The Institution of Engineering and Technology</publisher><subject>Australia ; customer profits ; customer response scenarios ; customer response sensitivity ; customer reward‐based demand response program ; demand elasticity ; demand side management ; electricity demand reduction ; financial management ; financial risk minimization ; incentive price ; incentive schemes ; market operation ; New South Wales ; objective function ; price spikes ; pricing ; Research Article ; risk management</subject><ispartof>IET generation, transmission & distribution, 2018-08, Vol.12 (15), p.3764-3771</ispartof><rights>The Institution of Engineering and Technology</rights><rights>2018 The Authors. IET Generation, Transmission & Distribution published by John Wiley & Sons, Ltd. on behalf of The Institution of Engineering and Technology</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3341-32a0db80ecfd786da23dd25a96190eefe81bce141927da7a6a4f78cc530eaf593</citedby><cites>FETCH-LOGICAL-c3341-32a0db80ecfd786da23dd25a96190eefe81bce141927da7a6a4f78cc530eaf593</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1049%2Fiet-gtd.2017.2037$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1049%2Fiet-gtd.2017.2037$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,9736,11541,27901,27902,46027,46451</link.rule.ids><linktorsrc>$$Uhttps://onlinelibrary.wiley.com/doi/abs/10.1049%2Fiet-gtd.2017.2037$$EView_record_in_Wiley-Blackwell$$FView_record_in_$$GWiley-Blackwell</linktorsrc></links><search><creatorcontrib>Vu, Dao H</creatorcontrib><creatorcontrib>Muttaqi, Kashem M</creatorcontrib><creatorcontrib>Agalgaonkar, Ashish P</creatorcontrib><creatorcontrib>Bouzerdoum, Abdesselam</creatorcontrib><title>Customer reward-based demand response program to improve demand elasticity and minimise financial risk during price spikes</title><title>IET generation, transmission & distribution</title><description>In this study, a customer reward scheme is proposed to build an effective demand response program for improving demand elasticity. First, an objective function has been formulated based on the market operation and an optimal incentive price has been derived from this objective function. Second, the incentive price is employed as a part of a reward scheme to encourage customers to reduce their electricity demand to a certain level during peak hours. Two typical customer response scenarios are studied to investigate the impact of customer response sensitivity on the loss of utilities’ and customers’ profits. Finally, a dataset for the state of New South Wales, Australia is employed as a case study to examine the effectiveness of the proposed scheme. The obtained results show that the proposed scheme can help improve the elasticity of demand significantly thereby reducing the associated financial risk greatly. Moreover, the proposed scheme allows customers to get involved voluntarily and maximise their profits with minimum sacrifice of their comfort levels.</description><subject>Australia</subject><subject>customer profits</subject><subject>customer response scenarios</subject><subject>customer response sensitivity</subject><subject>customer reward‐based demand response program</subject><subject>demand elasticity</subject><subject>demand side management</subject><subject>electricity demand reduction</subject><subject>financial management</subject><subject>financial risk minimization</subject><subject>incentive price</subject><subject>incentive schemes</subject><subject>market operation</subject><subject>New South Wales</subject><subject>objective function</subject><subject>price spikes</subject><subject>pricing</subject><subject>Research Article</subject><subject>risk management</subject><issn>1751-8687</issn><issn>1751-8695</issn><issn>1751-8695</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNqFkM1OAyEQgInRxFp9AG-8ABX2j11vWm01aeKlnskUZhvaZbeBrU19etlUPeplfsh8A3yE3Ao-ETyr7iz2bN2bScKFjCGVZ2QkZC5YWVT5-W9dyktyFcKG8zwvMjkin9N96DuHnno8gDdsBQENNeigNfEs7Lo2IN35bu3B0b6j1sXmA39GsIHQW237Ix1aZ1vrbCRq20KrLTTU27ClZu9tu457rEYadnaL4Zpc1NAEvPnOY_I-e15OX9jibf46fVgwnaaZYGkC3KxKjro2siwMJKkxSQ5VISqOWGMpVhpFJqpEGpBQQFbLUus85Qh1XqVjIk57te9C8Fir-AoH_qgEV4M8FeWpKE8N8tQgLzL3J-ZgGzz-D6j58il5nPFYiwizEzyMbbq9b-P3_rjsC1JZiPQ</recordid><startdate>20180828</startdate><enddate>20180828</enddate><creator>Vu, Dao H</creator><creator>Muttaqi, Kashem M</creator><creator>Agalgaonkar, Ashish P</creator><creator>Bouzerdoum, Abdesselam</creator><general>The Institution of Engineering and Technology</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20180828</creationdate><title>Customer reward-based demand response program to improve demand elasticity and minimise financial risk during price spikes</title><author>Vu, Dao H ; Muttaqi, Kashem M ; Agalgaonkar, Ashish P ; Bouzerdoum, Abdesselam</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3341-32a0db80ecfd786da23dd25a96190eefe81bce141927da7a6a4f78cc530eaf593</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Australia</topic><topic>customer profits</topic><topic>customer response scenarios</topic><topic>customer response sensitivity</topic><topic>customer reward‐based demand response program</topic><topic>demand elasticity</topic><topic>demand side management</topic><topic>electricity demand reduction</topic><topic>financial management</topic><topic>financial risk minimization</topic><topic>incentive price</topic><topic>incentive schemes</topic><topic>market operation</topic><topic>New South Wales</topic><topic>objective function</topic><topic>price spikes</topic><topic>pricing</topic><topic>Research Article</topic><topic>risk management</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Vu, Dao H</creatorcontrib><creatorcontrib>Muttaqi, Kashem M</creatorcontrib><creatorcontrib>Agalgaonkar, Ashish P</creatorcontrib><creatorcontrib>Bouzerdoum, Abdesselam</creatorcontrib><collection>CrossRef</collection><jtitle>IET generation, transmission & distribution</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Vu, Dao H</au><au>Muttaqi, Kashem M</au><au>Agalgaonkar, Ashish P</au><au>Bouzerdoum, Abdesselam</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Customer reward-based demand response program to improve demand elasticity and minimise financial risk during price spikes</atitle><jtitle>IET generation, transmission & distribution</jtitle><date>2018-08-28</date><risdate>2018</risdate><volume>12</volume><issue>15</issue><spage>3764</spage><epage>3771</epage><pages>3764-3771</pages><issn>1751-8687</issn><issn>1751-8695</issn><eissn>1751-8695</eissn><abstract>In this study, a customer reward scheme is proposed to build an effective demand response program for improving demand elasticity. First, an objective function has been formulated based on the market operation and an optimal incentive price has been derived from this objective function. Second, the incentive price is employed as a part of a reward scheme to encourage customers to reduce their electricity demand to a certain level during peak hours. Two typical customer response scenarios are studied to investigate the impact of customer response sensitivity on the loss of utilities’ and customers’ profits. Finally, a dataset for the state of New South Wales, Australia is employed as a case study to examine the effectiveness of the proposed scheme. The obtained results show that the proposed scheme can help improve the elasticity of demand significantly thereby reducing the associated financial risk greatly. Moreover, the proposed scheme allows customers to get involved voluntarily and maximise their profits with minimum sacrifice of their comfort levels.</abstract><pub>The Institution of Engineering and Technology</pub><doi>10.1049/iet-gtd.2017.2037</doi><tpages>8</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 1751-8687 |
ispartof | IET generation, transmission & distribution, 2018-08, Vol.12 (15), p.3764-3771 |
issn | 1751-8687 1751-8695 1751-8695 |
language | eng |
recordid | cdi_crossref_primary_10_1049_iet_gtd_2017_2037 |
source | Wiley-Blackwell Open Access Collection |
subjects | Australia customer profits customer response scenarios customer response sensitivity customer reward‐based demand response program demand elasticity demand side management electricity demand reduction financial management financial risk minimization incentive price incentive schemes market operation New South Wales objective function price spikes pricing Research Article risk management |
title | Customer reward-based demand response program to improve demand elasticity and minimise financial risk during price spikes |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-03T07%3A04%3A45IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-wiley_24P&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Customer%20reward-based%20demand%20response%20program%20to%20improve%20demand%20elasticity%20and%20minimise%20financial%20risk%20during%20price%20spikes&rft.jtitle=IET%20generation,%20transmission%20&%20distribution&rft.au=Vu,%20Dao%20H&rft.date=2018-08-28&rft.volume=12&rft.issue=15&rft.spage=3764&rft.epage=3771&rft.pages=3764-3771&rft.issn=1751-8687&rft.eissn=1751-8695&rft_id=info:doi/10.1049/iet-gtd.2017.2037&rft_dat=%3Cwiley_24P%3EGTD2BF02031%3C/wiley_24P%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c3341-32a0db80ecfd786da23dd25a96190eefe81bce141927da7a6a4f78cc530eaf593%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |