Intraday Residential Demand Response Scheme Based on Peer-to-Peer Energy Trading

The intermittency introduced by the increasing integration of distributed renewable energy sources is challenging the efficient operation of residential distribution systems. A promising solution to tackle this challenge is the implementation of residential demand response through responsive househo...

Full description

Saved in:
Bibliographic Details
Published inIEEE transactions on industrial informatics Vol. 16; no. 3; pp. 1823 - 1835
Main Authors Liu, Weijia, Qi, Donglian, Wen, Fushuan
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 01.03.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Online AccessGet full text

Cover

Loading…
Abstract The intermittency introduced by the increasing integration of distributed renewable energy sources is challenging the efficient operation of residential distribution systems. A promising solution to tackle this challenge is the implementation of residential demand response through responsive household appliances such as heat pumps, refrigeration devices, and energy storage units. In this article, a peer-to-peer energy trading platform among residential houses is proposed to coordinate demand response schemes and level off potential generation/consumption disturbances in the hour-ahead intraday context. First, the day-ahead and intraday energy management models for residential houses are established considering the characteristics of responsive household appliances and energy storages. The discomfort and possible economic losses for performing demand responses are quantified with respect to the risk preferences of residential customers. The peer-to-peer energy trading platform is developed and a double-auction mechanism employed to promote the collaborative demand response schemes in the face of disturbances. An optimal bidding strategy of residential houses is also proposed. The feasibility of the proposed models and bidding strategy are verified through case studies. It is also illustrated that the residential demand response schemes and intraday peer-to-peer energy trading are effective in managing the uncertainties of load demand and renewable generation.
AbstractList The intermittency introduced by the increasing integration of distributed renewable energy sources is challenging the efficient operation of residential distribution systems. A promising solution to tackle this challenge is the implementation of residential demand response through responsive household appliances such as heat pumps, refrigeration devices, and energy storage units. In this article, a peer-to-peer energy trading platform among residential houses is proposed to coordinate demand response schemes and level off potential generation/consumption disturbances in the hour-ahead intraday context. First, the day-ahead and intraday energy management models for residential houses are established considering the characteristics of responsive household appliances and energy storages. The discomfort and possible economic losses for performing demand responses are quantified with respect to the risk preferences of residential customers. The peer-to-peer energy trading platform is developed and a double-auction mechanism employed to promote the collaborative demand response schemes in the face of disturbances. An optimal bidding strategy of residential houses is also proposed. The feasibility of the proposed models and bidding strategy are verified through case studies. It is also illustrated that the residential demand response schemes and intraday peer-to-peer energy trading are effective in managing the uncertainties of load demand and renewable generation.
Author Qi, Donglian
Wen, Fushuan
Liu, Weijia
Author_xml – sequence: 1
  givenname: Weijia
  orcidid: 0000-0002-0483-9685
  surname: Liu
  fullname: Liu, Weijia
  email: liuweijiamarcel@gmail.com
  organization: College of Electrical Engineering, Zhejiang University, Hangzhou, China
– sequence: 2
  givenname: Donglian
  surname: Qi
  fullname: Qi, Donglian
  email: qidl@zju.edu.cn
  organization: College of Electrical Engineering, Zhejiang University, Hangzhou, China
– sequence: 3
  givenname: Fushuan
  orcidid: 0000-0002-6838-2602
  surname: Wen
  fullname: Wen, Fushuan
  email: fushuan.wen@gmail.com
  organization: College of Electrical Engineering, Zhejiang University, Hangzhou, China
BookMark eNo9kM1Lw0AUxBepYFu9C14CnlPffiW7R61VAwWL1vOy2bzUlHZTd9ND_3sTKp7mMczMg9-EjHzrkZBbCjNKQT-si2LGgOoZ00wLrS7ImGpBUwAJo_6WkqacAb8ikxi3ADwHrsdkVfgu2Mqekg-MTYW-a-wueca99dVgHVofMfl037jH5MlGrJLWJyvEkHZtOmiy8Bg2p2TdzzR-c00ua7uLePOnU_L1sljP39Ll-2sxf1ymjnPVpTmlmcpAK1eiQGk1dUI6aqnNa0VVxnRWI1aurEEIgLx0zorMWc1UaXufT8n9efcQ2p8jxs5s22Pw_UvDuJCSMZmzPgXnlAttjAFrcwjN3oaToWAGbqbnZgZu5o9bX7k7VxpE_I-rPNNKa_4LUFxqkw
CODEN ITIICH
CitedBy_id crossref_primary_10_1109_TII_2021_3058511
crossref_primary_10_1109_TSG_2021_3070160
crossref_primary_10_1016_j_apenergy_2022_120436
crossref_primary_10_1109_TPWRS_2022_3202188
crossref_primary_10_3390_en16083525
crossref_primary_10_1016_j_rser_2023_113273
crossref_primary_10_1016_j_ijepes_2024_109887
crossref_primary_10_1109_JIOT_2020_3032162
crossref_primary_10_1016_j_epsr_2024_110562
crossref_primary_10_1016_j_rser_2020_110567
crossref_primary_10_1109_TSG_2020_3023716
crossref_primary_10_2139_ssrn_3959620
crossref_primary_10_1016_j_segan_2023_101113
crossref_primary_10_1109_TSG_2021_3128547
crossref_primary_10_1109_TSG_2022_3206147
crossref_primary_10_1016_j_apenergy_2022_119520
crossref_primary_10_1109_TII_2020_3000906
crossref_primary_10_1016_j_rser_2022_112908
crossref_primary_10_1109_ACCESS_2022_3170709
crossref_primary_10_1109_TSTE_2020_3029977
crossref_primary_10_3390_en16083477
crossref_primary_10_3390_su13063400
crossref_primary_10_1016_j_erss_2022_102902
crossref_primary_10_1016_j_apenergy_2022_120125
crossref_primary_10_1016_j_jobe_2024_109031
crossref_primary_10_1016_j_seta_2020_100848
crossref_primary_10_1109_TIA_2021_3100809
crossref_primary_10_3390_su14095705
crossref_primary_10_1109_TKDE_2022_3157472
crossref_primary_10_3390_en13143751
crossref_primary_10_1016_j_apenergy_2023_122592
crossref_primary_10_1109_TCSI_2023_3240702
crossref_primary_10_1016_j_energy_2023_129808
crossref_primary_10_1016_j_epsr_2022_108907
crossref_primary_10_1109_JIOT_2021_3109613
crossref_primary_10_1109_ACCESS_2021_3068730
crossref_primary_10_1016_j_apenergy_2023_121148
crossref_primary_10_1016_j_rineng_2024_102188
crossref_primary_10_1109_ACCESS_2022_3211926
crossref_primary_10_1016_j_apenergy_2024_123428
crossref_primary_10_1016_j_egyr_2021_09_074
crossref_primary_10_1016_j_ijepes_2023_109234
crossref_primary_10_1049_stg2_12103
crossref_primary_10_1109_TSG_2020_3038436
crossref_primary_10_1016_j_aej_2024_02_033
crossref_primary_10_1049_stg2_12085
crossref_primary_10_1016_j_scs_2023_104754
crossref_primary_10_1109_TIA_2022_3152140
crossref_primary_10_1016_j_egyr_2023_10_034
crossref_primary_10_1109_TII_2021_3114361
crossref_primary_10_1109_TSTE_2022_3208369
crossref_primary_10_3390_en16083464
crossref_primary_10_1016_j_rser_2022_112403
crossref_primary_10_1109_TVT_2022_3225524
crossref_primary_10_1016_j_rser_2022_112446
crossref_primary_10_1109_ACCESS_2021_3130185
crossref_primary_10_1109_TSG_2022_3185140
crossref_primary_10_1109_TCC_2021_3118563
crossref_primary_10_1049_gtd2_12329
crossref_primary_10_1109_TSG_2021_3103917
crossref_primary_10_1109_TSG_2020_2969657
crossref_primary_10_1109_TEMPR_2023_3296734
crossref_primary_10_1109_ACCESS_2020_3040391
crossref_primary_10_1016_j_jclepro_2022_131024
crossref_primary_10_1016_j_apenergy_2021_117243
crossref_primary_10_1109_ACCESS_2020_3031325
crossref_primary_10_1109_TIA_2022_3204626
crossref_primary_10_1016_j_apenergy_2021_117088
crossref_primary_10_1109_TSG_2022_3158732
crossref_primary_10_1109_TSG_2022_3149266
crossref_primary_10_3389_fenrg_2022_1071948
crossref_primary_10_1109_ACCESS_2022_3202649
crossref_primary_10_1016_j_ijepes_2021_107918
crossref_primary_10_1016_j_apenergy_2022_120061
crossref_primary_10_1016_j_egyr_2024_04_053
crossref_primary_10_1109_TSG_2020_2997956
crossref_primary_10_1109_TSG_2022_3184287
crossref_primary_10_1109_ACCESS_2021_3127890
crossref_primary_10_1016_j_apenergy_2021_117231
Cites_doi 10.1109/TSG.2014.2345886
10.1109/TSTE.2012.2232945
10.1109/TII.2017.2709784
10.1016/j.buildenv.2012.01.023
10.1109/TSG.2014.2314027
10.1109/TPWRS.2013.2250318
10.1109/TPWRS.2018.2881251
10.1109/TPWRS.2018.2834472
10.1109/TSTE.2015.2390639
10.1109/TSG.2016.2614988
10.1109/TIA.2017.2723338
10.1109/TSG.2017.2710358
10.1109/TSG.2014.2318894
10.1109/MSPEC.2013.6511108
10.1109/TSG.2014.2336093
10.1109/TSG.2015.2459753
10.1109/TII.2015.2390035
10.1109/TII.2015.2426052
10.1109/TSG.2016.2606442
10.1007/s40565-016-0228-1
10.1109/TSG.2017.2750706
10.1109/TSG.2014.2388357
10.1109/CarpathianCC.2018.8399692
10.1109/TSG.2010.2089069
10.1109/TSG.2010.2053053
10.1109/TII.2017.2757443
10.1109/TII.2018.2871159
10.1109/TSG.2016.2605182
10.1109/TPWRS.2015.2390263
10.1109/TII.2011.2158841
10.1109/TPWRS.2014.2358684
10.1109/CDC.2011.6161302
10.1109/JPROC.2010.2081330
ContentType Journal Article
Copyright Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020
Copyright_xml – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020
DBID 97E
RIA
RIE
AAYXX
CITATION
7SC
7SP
8FD
JQ2
L7M
L~C
L~D
DOI 10.1109/TII.2019.2929498
DatabaseName IEEE All-Society Periodicals Package (ASPP) 2005-present
IEEE All-Society Periodicals Package (ASPP) 1998–Present
IEEE/IET Electronic Library (IEL)
CrossRef
Computer and Information Systems Abstracts
Electronics & Communications Abstracts
Technology Research Database
ProQuest Computer Science Collection
Advanced Technologies Database with Aerospace
Computer and Information Systems Abstracts – Academic
Computer and Information Systems Abstracts Professional
DatabaseTitle CrossRef
Technology Research Database
Computer and Information Systems Abstracts – Academic
Electronics & Communications Abstracts
ProQuest Computer Science Collection
Computer and Information Systems Abstracts
Advanced Technologies Database with Aerospace
Computer and Information Systems Abstracts Professional
DatabaseTitleList Technology Research Database

Database_xml – sequence: 1
  dbid: RIE
  name: IEEE/IET Electronic Library (IEL)
  url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISSN 1941-0050
EndPage 1835
ExternalDocumentID 10_1109_TII_2019_2929498
8769899
Genre orig-research
GrantInformation_xml – fundername: National Key Research and Development Program of China Stem Cell and Translational Research
  grantid: 2017YFB0903000
  funderid: 10.13039/501100013290
– fundername: Postdoctoral Innovation Talent Support Program of China
  grantid: BX201700211
GroupedDBID 0R~
29I
4.4
5GY
5VS
6IK
97E
AAJGR
AASAJ
ABQJQ
ACGFS
ACIWK
AENEX
AETIX
AKJIK
ALMA_UNASSIGNED_HOLDINGS
ATWAV
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CS3
DU5
EBS
EJD
HZ~
IFIPE
IPLJI
JAVBF
LAI
M43
O9-
OCL
P2P
RIA
RIE
RIG
RNS
AAYXX
CITATION
7SC
7SP
8FD
JQ2
L7M
L~C
L~D
ID FETCH-LOGICAL-c338t-711686098cbe4e5a91c45c1a1a7f8186296feedcbf044007bcca46ca928baedc3
IEDL.DBID RIE
ISSN 1551-3203
IngestDate Thu Oct 10 16:57:30 EDT 2024
Fri Aug 23 03:11:54 EDT 2024
Mon Nov 04 11:48:12 EST 2024
IsPeerReviewed false
IsScholarly true
Issue 3
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c338t-711686098cbe4e5a91c45c1a1a7f8186296feedcbf044007bcca46ca928baedc3
ORCID 0000-0002-0483-9685
0000-0002-6838-2602
PQID 2345522572
PQPubID 85507
PageCount 13
ParticipantIDs proquest_journals_2345522572
crossref_primary_10_1109_TII_2019_2929498
ieee_primary_8769899
PublicationCentury 2000
PublicationDate 2020-03-01
PublicationDateYYYYMMDD 2020-03-01
PublicationDate_xml – month: 03
  year: 2020
  text: 2020-03-01
  day: 01
PublicationDecade 2020
PublicationPlace Piscataway
PublicationPlace_xml – name: Piscataway
PublicationTitle IEEE transactions on industrial informatics
PublicationTitleAbbrev TII
PublicationYear 2020
Publisher IEEE
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher_xml – name: IEEE
– name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
References ref13
ref34
ref12
ref15
ref36
ref14
ref30
ref33
ref11
ref32
ref10
(ref37) 0
ref2
ref1
ref17
m -rad (ref31) 2010; 1
ref16
ref19
ref18
zhao (ref35) 0
ref24
ref23
ref26
ref25
ref20
ref22
ref21
ref29
ref8
ref7
ref9
ref4
ref3
ref6
ref5
(ref27) 0
bang (ref28) 2012
References_xml – year: 0
  ident: ref35
  article-title: Stability analysis of multi-period electricity market with heterogeneous dynamic assets
  contributor:
    fullname: zhao
– year: 2012
  ident: ref28
  article-title: The existing Nordic regulating power market
  contributor:
    fullname: bang
– ident: ref12
  doi: 10.1109/TSG.2014.2345886
– ident: ref13
  doi: 10.1109/TSTE.2012.2232945
– ident: ref14
  doi: 10.1109/TII.2017.2709784
– ident: ref29
  doi: 10.1016/j.buildenv.2012.01.023
– ident: ref3
  doi: 10.1109/TSG.2014.2314027
– ident: ref32
  doi: 10.1109/TPWRS.2013.2250318
– ident: ref33
  doi: 10.1109/TPWRS.2018.2881251
– ident: ref10
  doi: 10.1109/TPWRS.2018.2834472
– ident: ref16
  doi: 10.1109/TSTE.2015.2390639
– ident: ref7
  doi: 10.1109/TSG.2016.2614988
– ident: ref15
  doi: 10.1109/TIA.2017.2723338
– ident: ref23
  doi: 10.1109/TSG.2017.2710358
– ident: ref25
  doi: 10.1109/TSG.2014.2318894
– ident: ref36
  doi: 10.1109/MSPEC.2013.6511108
– ident: ref26
  doi: 10.1109/TSG.2014.2336093
– ident: ref24
  doi: 10.1109/TSG.2015.2459753
– ident: ref34
  doi: 10.1109/TII.2015.2390035
– ident: ref5
  doi: 10.1109/TII.2015.2426052
– ident: ref19
  doi: 10.1109/TSG.2016.2606442
– ident: ref6
  doi: 10.1007/s40565-016-0228-1
– ident: ref9
  doi: 10.1109/TSG.2017.2750706
– ident: ref18
  doi: 10.1109/TSG.2014.2388357
– ident: ref11
  doi: 10.1109/CarpathianCC.2018.8399692
– volume: 1
  start-page: 320
  year: 2010
  ident: ref31
  article-title: Autonomous demand-side management based on game-theoretic energy consumption scheduling for the future smart grid
  publication-title: IEEE Trans Smart Grid
  doi: 10.1109/TSG.2010.2089069
  contributor:
    fullname: m -rad
– ident: ref17
  doi: 10.1109/TSG.2010.2053053
– ident: ref8
  doi: 10.1109/TII.2017.2757443
– ident: ref21
  doi: 10.1109/TII.2018.2871159
– year: 0
  ident: ref37
– ident: ref22
  doi: 10.1109/TSG.2016.2605182
– ident: ref4
  doi: 10.1109/TPWRS.2015.2390263
– ident: ref2
  doi: 10.1109/TII.2011.2158841
– ident: ref20
  doi: 10.1109/TPWRS.2014.2358684
– ident: ref30
  doi: 10.1109/CDC.2011.6161302
– year: 0
  ident: ref27
– ident: ref1
  doi: 10.1109/JPROC.2010.2081330
SSID ssj0037039
Score 2.5826201
Snippet The intermittency introduced by the increasing integration of distributed renewable energy sources is challenging the efficient operation of residential...
SourceID proquest
crossref
ieee
SourceType Aggregation Database
Publisher
StartPage 1823
SubjectTerms Biological system modeling
Demand
Demand response
distributed energy resources
Disturbances
Economic impact
electricity market
Energy
Energy management
Energy resources
Energy storage
Heat pumps
Home appliances
Household appliances
Houses
intraday market
Load management
Peer-to-peer computing
peer-to-peer energy trading
Refrigeration
Renewable energy sources
Residential energy
Schedules
Storage units
Title Intraday Residential Demand Response Scheme Based on Peer-to-Peer Energy Trading
URI https://ieeexplore.ieee.org/document/8769899
https://www.proquest.com/docview/2345522572
Volume 16
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjR3LTtwwcASc4FBooeryqHzopRJeHMdO4iNQEFsJhApI3CI_JpdCFkH2AF_P2JsgHj30lMjySJZnxvOeAfgRULvgKsErG5Ar5QR3uWi4FyUanxNFuOjQPz0rTq7U72t9vQC7L7UwiJiSz3Acf1MsP0z9LLrK9ohzDdkHi7BYmmpeqzW8ujlRrkm9UXXGcynyISQpzN7lZBJzuMxYki6gTPVGBKWZKh8e4iRdjlfhdDjXPKnk73jWubF_etey8X8PvgafejWT7c_p4jMsYPsFVl41H1yH80n06wb7yP5gnNnZEq_fsF94a9sQl2LqLLILQuotsgMSdoFNW3ZO4Lyb8vhlR6lwkJG8ixJwA66Ojy4PT3g_X4F7Mkw7XmZZURXCVN6hQm1N5pX2mc1s2cRGd9IUDYlQ75o4l1qUjrCtCm-NrJyl9fwrLLXTFr8BK1EaAmmUFk7pLLeikU0M2mnRZMGGEfwcrry-m7fRqJP5IUxN6KkjeuoePSNYjzf4sq-_vBFsDziqez57qGWuNGmQupSb_4bagmUZLeSUNbYNS939DHdIjejc90Q_z-33xI8
link.rule.ids 315,782,786,798,27931,27932,54765
linkProvider IEEE
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjR3LTtwwcETh0PbQ0lLUBQo-cEGqF8exk_hIW9AuZRFqF4lb5Mfk0pKt2uyhfH3H3gT1deCUyPJIlmfG854BOAyoXXCV4JUNyJVygrtcNNyLEo3PiSJcdOjPLovJtTq_0Tdr8Pa-FgYRU_IZjuNviuWHhV9GV9kxca4h--ARbGhVFnpVrTW8uznRrkndUXXGcynyISgpzPF8Oo1ZXGYsSRtQpvpDCKWpKv88xUm-nD2H2XCyVVrJl_Gyc2N_91fTxocefROe9YomO1lRxgtYw_YlPP2t_eAWXE2jZzfYn-wTxqmdLXH7V_YBb20b4lJMnkX2mdB6i-wdibvAFi27InDeLXj8stNUOshI4kUZ-Aquz07n7ye8n7DAPZmmHS-zrKgKYSrvUKG2JvNK-8xmtmxiqztpioaEqHdNnEwtSkf4VoW3RlbO0nq-DevtosXXwEqUhkAapYVTOsutaGQTw3ZaNFmwYQRHw5XX31aNNOpkgAhTE3rqiJ66R88ItuIN3u_rL28EewOO6p7TftQyV5p0SF3Knf9DHcDjyXx2UV9MLz_uwhMZ7eWUQ7YH6933Jb4hpaJz-4mWfgFr6sfe
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Intraday+Residential+Demand+Response+Scheme+Based+on+Peer-to-Peer+Energy+Trading&rft.jtitle=IEEE+transactions+on+industrial+informatics&rft.au=Liu%2C+Weijia&rft.au=Qi%2C+Donglian&rft.au=Wen%2C+Fushuan&rft.date=2020-03-01&rft.issn=1551-3203&rft.eissn=1941-0050&rft.volume=16&rft.issue=3&rft.spage=1823&rft.epage=1835&rft_id=info:doi/10.1109%2FTII.2019.2929498&rft.externalDBID=n%2Fa&rft.externalDocID=10_1109_TII_2019_2929498
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1551-3203&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1551-3203&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1551-3203&client=summon