Low-Carbon Economic Dispatch of Integrated Energy Systems Considering Full-Process Carbon Emission Tracking and Low Carbon Demand Response

While reducing the carbon emissions of traditional coal-fired units, carbon capture and storage (CCS) technology can also provide sufficient carbon raw materials for power to gas (P2G) equipment, which helps to achieve the low-carbon dispatch of an integrated energy system (IES). In this paper, an e...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on network science and engineering Vol. 11; no. 6; pp. 5417 - 5431
Main Authors: Zhang, Yumin, Sun, Pengkai, Ji, Xingquan, Yang, Ming, Ye, Pingfeng
Format: Journal Article
Language:English
Published: Piscataway IEEE 01.11.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Carbon
Carbon content
Carbon dioxide
carbon emission flow
Carbon sequestration
Coal-fired power plants
Costs
Dispatching
Dynamic programming
Electric power demand
Electrical loads
Electricity
Electricity pricing
Emissions control
Energy management
Energy storage
Integrated energy systems
Load modeling
low carbon demand response
Low-carbon economic dispatch
Multilayers
parallel multidimensional approximate dynamic programming (PMADP)
Power dispatch
Power-to-gas
Raw materials
state of carbon (SOCB)
Wind power
Wind turbines
ISSN:2327-4697, 2334-329X
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract While reducing the carbon emissions of traditional coal-fired units, carbon capture and storage (CCS) technology can also provide sufficient carbon raw materials for power to gas (P2G) equipment, which helps to achieve the low-carbon dispatch of an integrated energy system (IES). In this paper, an extended carbon emission flow (ECEF) model integrating CCS-P2G coordinated operation and low-carbon characteristics of an energy storage system (ESS) is proposed. On the energy supply side, the coupling relationship between CCS and P2G is established to realize the low-carbon economic operation of P2G. On the energy storage side, the concept of "state of carbon (SOCB)" is introduced to describe the carbon emission characteristics of ESS to exploit the potential of coordinated low-carbon dispatch on both sides of energy release and energy storage. On the load side, a new carbon emission reduction mechanism that guides users to actively respond and reduce carbon emissions is proposed, namely a low-carbon demand response mechanism. This mechanism uses the node carbon intensity as guiding signals, and the willingness of carbon emission reduction or the price in the carbon market as incentive signals. Furthermore, a low-carbon economic dispatch model considering multiple uncertainties such as wind power output, electricity price, and load demands is established. In order to solve the model efficiently, the parallel multi-dimensional approximate dynamic programming (PMADP) algorithm is adopted, and the solution efficiency is significantly improved compared with stochastic optimization, without losing solution accuracy under a multi-layer parallel loop nesting framework. The effectiveness of the proposed model and method is verified on an E14-H6-G6 system and an E57-H12-G12 system.
AbstractList While reducing the carbon emissions of traditional coal-fired units, carbon capture and storage (CCS) technology can also provide sufficient carbon raw materials for power to gas (P2G) equipment, which helps to achieve the low-carbon dispatch of an integrated energy system (IES). In this paper, an extended carbon emission flow (ECEF) model integrating CCS-P2G coordinated operation and low-carbon characteristics of an energy storage system (ESS) is proposed. On the energy supply side, the coupling relationship between CCS and P2G is established to realize the low-carbon economic operation of P2G. On the energy storage side, the concept of “state of carbon (SOCB)” is introduced to describe the carbon emission characteristics of ESS to exploit the potential of coordinated low-carbon dispatch on both sides of energy release and energy storage. On the load side, a new carbon emission reduction mechanism that guides users to actively respond and reduce carbon emissions is proposed, namely a low-carbon demand response mechanism. This mechanism uses the node carbon intensity as guiding signals, and the willingness of carbon emission reduction or the price in the carbon market as incentive signals. Furthermore, a low-carbon economic dispatch model considering multiple uncertainties such as wind power output, electricity price, and load demands is established. In order to solve the model efficiently, the parallel multi-dimensional approximate dynamic programming (PMADP) algorithm is adopted, and the solution efficiency is significantly improved compared with stochastic optimization, without losing solution accuracy under a multi-layer parallel loop nesting framework. The effectiveness of the proposed model and method is verified on an E14-H6-G6 system and an E57-H12-G12 system.
Author Ji, Xingquan
Yang, Ming
Sun, Pengkai
Zhang, Yumin
Ye, Pingfeng
Author_xml – sequence: 1
  givenname: Yumin
  orcidid: 0000-0003-2024-8989
  surname: Zhang
  fullname: Zhang, Yumin
  email: ymzhang2019@sdust.edu.cn
  organization: College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China
– sequence: 2
  givenname: Pengkai
  surname: Sun
  fullname: Sun, Pengkai
  email: pksun@sdust.edu.cn
  organization: College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China
– sequence: 3
  givenname: Xingquan
  orcidid: 0000-0003-4869-8631
  surname: Ji
  fullname: Ji, Xingquan
  email: xqji@sdust.edu.cn
  organization: College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China
– sequence: 4
  givenname: Ming
  orcidid: 0000-0002-0020-8683
  surname: Yang
  fullname: Yang, Ming
  email: myang@sdu.edu.cn
  organization: Key Laboratory of Power System Intelligent Dispatch and Control, Shandong University, Jinan, China
– sequence: 5
  givenname: Pingfeng
  orcidid: 0000-0001-6007-1036
  surname: Ye
  fullname: Ye, Pingfeng
  email: ypfinput@163.com
  organization: College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China
BookMark eNp9kF2LEzEUhoOs4LruDxC8CHg93Xy1SS6l29WFouJW8G44kzlTs3aSmqRI_4K_2gztgnjhVQ7J876HPC_JRYgBCXnN2YxzZm82Hx9WM8GEmkklmNb8GbkUUqpGCvvtYpqFbtTC6hfkOudHxhgXZiGlvCS_1_FXs4TUxUBXLoY4ekdvfd5Dcd9pHOh9KLhNULCnq4Bpe6QPx1xwzHQZQ_Y9Jh-29O6w2zWfU3SY68O5bvQ5-zpsErgfEwWhp3XfE3CL43TzBfO-VuEr8nyAXcbr83lFvt6tNssPzfrT-_vlu3XjhFWlQcu5681g0OjBDHboemNRwIIZNcx71zluuO6thA66BSgAlEpp0HMGsmNKXpG3p959ij8PmEv7GA8p1JWt5JLZqkbYSukT5VLMOeHQOl-g1P-UBH7XctZO7tvJfTu5b8_ua5L_k9wnP0I6_jfz5pTxiPgXPzdCWSb_AJFok7o
CODEN ITNSD5
CitedBy_id crossref_primary_10_1016_j_egyr_2025_06_048
crossref_primary_10_3390_pr13071969
crossref_primary_10_3390_en18143679
crossref_primary_10_1049_enc2_70011
crossref_primary_10_1038_s41598_025_11561_2
crossref_primary_10_3390_su17114873
Cites_doi 10.1109/TSTE.2018.2843121
10.1016/j.ijepes.2019.105525
10.1109/TSG.2021.3119972
10.1016/j.apenergy.2020.115948
10.1038/srep00479
10.1016/j.apenergy.2016.07.077
10.1109/TSG.2018.2830775
10.1016/j.apenergy.2019.02.085
10.1016/j.energy.2021.120267
10.1016/j.ijepes.2022.108558
10.1109/TSG.2019.2935736
10.14419/ijet.v7i2.24.12089
10.1016/j.energy.2020.117130
10.1016/j.ijepes.2018.07.008
10.1016/j.egyr.2022.05.196
10.1109/TSG.2019.2903686
10.1109/TIA.2020.2992945
10.1109/TSTE.2021.3109468
10.1109/TIA.2021.3079329
10.1016/j.apenergy.2021.117514
10.1109/TSG.2021.3066449
10.1016/j.energy.2021.120256
10.1016/j.apenergy.2019.113598
10.1016/j.apenergy.2019.114230
10.1109/TPWRS.2013.2274176
10.1109/TSG.2015.2388695
10.1016/j.ijepes.2021.107460
10.1109/TIA.2021.3076020
10.1016/j.apenergy.2018.04.119
10.1016/j.energy.2022.123113
10.1016/j.energy.2020.117270
10.1002/tee.22773
10.1109/TSTE.2020.3015353
10.1016/j.energy.2022.124153
ContentType Journal Article
Copyright Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024
Copyright_xml – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024
DBID 97E
RIA
RIE
AAYXX
CITATION
7SC
8FD
JQ2
L7M
L~C
L~D
DOI 10.1109/TNSE.2024.3420771
DatabaseName IEEE All-Society Periodicals Package (ASPP) 2005–Present
IEEE All-Society Periodicals Package (ASPP) 1998–Present
IEEE/IET Electronic Library
CrossRef
Computer and Information Systems 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
Computer and Information Systems Abstracts
Technology Research Database
Computer and Information Systems Abstracts – Academic
Advanced Technologies Database with Aerospace
ProQuest Computer Science Collection
Computer and Information Systems Abstracts Professional
DatabaseTitleList Computer and Information Systems Abstracts
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISSN 2334-329X
EndPage 5431
ExternalDocumentID 10_1109_TNSE_2024_3420771
10582490
Genre orig-research
GrantInformation_xml – fundername: China Postdoctoral Science Foundation
  grantid: 2023M734092
  funderid: 10.13039/501100002858
– fundername: Shandong Provincial Natural Science Foundation
  grantid: ZR2022ME219; ZR2021QE117
– fundername: National Natural Science Foundation of China
  grantid: 52107111
  funderid: 10.13039/501100001809
GroupedDBID 0R~
6IK
97E
AAJGR
AARMG
AASAJ
AAWTH
ABAZT
ABJNI
ABQJQ
ABVLG
AGQYO
AGSQL
AHBIQ
AKJIK
AKQYR
ALMA_UNASSIGNED_HOLDINGS
ATWAV
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
EBS
EJD
IEDLZ
IFIPE
IPLJI
JAVBF
M43
OCL
PQQKQ
RIA
RIE
AAYXX
CITATION
7SC
8FD
JQ2
L7M
L~C
L~D
ID FETCH-LOGICAL-c294t-e911cd8f8e87f8f9fbd89e2a6084f5dcbc1817d93abab6a4aae3447a750a3b043
IEDL.DBID RIE
ISICitedReferencesCount 14
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001360487300027&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 2327-4697
IngestDate Mon Jun 30 09:56:24 EDT 2025
Tue Nov 18 22:37:42 EST 2025
Sat Nov 29 04:55:57 EST 2025
Wed Aug 27 03:06:37 EDT 2025
IsPeerReviewed true
IsScholarly true
Issue 6
Language English
License https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html
https://doi.org/10.15223/policy-029
https://doi.org/10.15223/policy-037
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c294t-e911cd8f8e87f8f9fbd89e2a6084f5dcbc1817d93abab6a4aae3447a750a3b043
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ORCID 0000-0003-4869-8631
0000-0003-2024-8989
0000-0002-0020-8683
0000-0001-6007-1036
PQID 3130928629
PQPubID 2040409
PageCount 15
ParticipantIDs ieee_primary_10582490
proquest_journals_3130928629
crossref_citationtrail_10_1109_TNSE_2024_3420771
crossref_primary_10_1109_TNSE_2024_3420771
PublicationCentury 2000
PublicationDate 2024-11-01
PublicationDateYYYYMMDD 2024-11-01
PublicationDate_xml – month: 11
  year: 2024
  text: 2024-11-01
  day: 01
PublicationDecade 2020
PublicationPlace Piscataway
PublicationPlace_xml – name: Piscataway
PublicationTitle IEEE transactions on network science and engineering
PublicationTitleAbbrev TNSE
PublicationYear 2024
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
ref12
ref34
ref15
ref14
ref31
ref30
ref11
ref33
ref10
ref32
ref2
ref1
ref17
ref16
ref19
ref18
ref24
ref23
ref26
ref25
ref20
ref22
ref21
ref28
ref27
ref29
ref8
ref7
ref9
ref4
ref3
ref6
ref5
References_xml – ident: ref10
  doi: 10.1109/TSTE.2018.2843121
– ident: ref20
  doi: 10.1016/j.ijepes.2019.105525
– ident: ref6
  doi: 10.1109/TSG.2021.3119972
– ident: ref23
  doi: 10.1016/j.apenergy.2020.115948
– ident: ref25
  doi: 10.1038/srep00479
– ident: ref13
  doi: 10.1016/j.apenergy.2016.07.077
– ident: ref27
  doi: 10.1109/TSG.2018.2830775
– ident: ref5
  doi: 10.1016/j.apenergy.2019.02.085
– ident: ref17
  doi: 10.1016/j.energy.2021.120267
– ident: ref16
  doi: 10.1016/j.ijepes.2022.108558
– ident: ref24
  doi: 10.1109/TSG.2019.2935736
– ident: ref32
  doi: 10.14419/ijet.v7i2.24.12089
– ident: ref7
  doi: 10.1016/j.energy.2020.117130
– ident: ref9
  doi: 10.1016/j.ijepes.2018.07.008
– ident: ref19
  doi: 10.1016/j.egyr.2022.05.196
– ident: ref34
  doi: 10.1109/TSG.2019.2903686
– ident: ref1
  doi: 10.1109/TIA.2020.2992945
– ident: ref30
  doi: 10.1109/TSTE.2021.3109468
– ident: ref22
  doi: 10.1109/TIA.2021.3079329
– ident: ref2
  doi: 10.1016/j.apenergy.2021.117514
– ident: ref8
  doi: 10.1109/TSG.2021.3066449
– ident: ref12
  doi: 10.1016/j.energy.2021.120256
– ident: ref18
  doi: 10.1016/j.apenergy.2019.113598
– ident: ref11
  doi: 10.1016/j.apenergy.2019.114230
– ident: ref29
  doi: 10.1109/TPWRS.2013.2274176
– ident: ref26
  doi: 10.1109/TSG.2015.2388695
– ident: ref14
  doi: 10.1016/j.ijepes.2021.107460
– ident: ref15
  doi: 10.1109/TIA.2021.3076020
– ident: ref28
  doi: 10.1016/j.apenergy.2018.04.119
– ident: ref4
  doi: 10.1016/j.energy.2022.123113
– ident: ref33
  doi: 10.1016/j.energy.2020.117270
– ident: ref31
  doi: 10.1002/tee.22773
– ident: ref3
  doi: 10.1109/TSTE.2020.3015353
– ident: ref21
  doi: 10.1016/j.energy.2022.124153
SSID ssj0001286333
Score 2.3699124
Snippet While reducing the carbon emissions of traditional coal-fired units, carbon capture and storage (CCS) technology can also provide sufficient carbon raw...
SourceID proquest
crossref
ieee
SourceType Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 5417
SubjectTerms Algorithms
Carbon
Carbon content
Carbon dioxide
carbon emission flow
Carbon sequestration
Coal-fired power plants
Costs
Dispatching
Dynamic programming
Electric power demand
Electrical loads
Electricity
Electricity pricing
Emissions control
Energy management
Energy storage
Integrated energy systems
Load modeling
low carbon demand response
Low-carbon economic dispatch
Multilayers
parallel multidimensional approximate dynamic programming (PMADP)
Power dispatch
Power-to-gas
Raw materials
state of carbon (SOCB)
Wind power
Wind turbines
Title Low-Carbon Economic Dispatch of Integrated Energy Systems Considering Full-Process Carbon Emission Tracking and Low Carbon Demand Response
URI https://ieeexplore.ieee.org/document/10582490
https://www.proquest.com/docview/3130928629
Volume 11
WOSCitedRecordID wos001360487300027&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVIEE
  databaseName: IEEE Electronic Library (IEL)
  customDbUrl:
  eissn: 2334-329X
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0001286333
  issn: 2327-4697
  databaseCode: RIE
  dateStart: 20140101
  isFulltext: true
  titleUrlDefault: https://ieeexplore.ieee.org/
  providerName: IEEE
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LS8QwEA4qHvTgc8XVVXLwJGRtm7RNjqK7KCyL-GJvJa-CoK2sq_4Hf7WTNJUVUfBWSjItfMm8km8GoaPYpMymiSIm1SlhUlECZpgSKTgYTy0y5lPZ96N8POaTibgKZHXPhbHW-stntu8e_Vm-qfWrS5XBDk85hAsQoS_medaQteYSKjyjlIaTyzgSJ7fjmwFEgAnrU5ZEeR5_sz2-mcoPDezNynD9nz-0gdaC_4hPG8A30YKtttDqXFXBbfQxqt_JmZyqusIt7xifP4DqAIRwXeLLtkSEwQNP_cOhbjlu23eCHOyCUxJ4BLgVB6vCpdcwmDjtkuxYVgbD99oB5_bJvblubt7aDrobDm7PLkhouUB0ItiMWNB92vCSW56XvBSlMlzYRGYRZ2VqtNLgEeRGUKmkyiST0rqSgRL8DklVxOgOWqrqyu4iHFsQUkI44iSDp6FAJWdpDsDpuGRp0kVRC0ahQz1y1xbjsfBxSSQKh1_h8CsCfl10_DXluSnG8dfgjgNsbmCDVRf1WsiLsF9fCgqmXMACSsTeL9P20YqT3tAQe2hpNn21B2hZv80eXqaHfil-AvoE3a0
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1ba9swFBYjG3R9WNcupdnSVQ97GiizLcmWHkea0tA0jC0beTO6GQqtXdKk_Q_71T2S5ZIxNuibMdKx4ZPOTfrOQehTajlzPNPEcsMJU5oSMMOUKCnAeBqZs5DK_jUr5nOxXMpvkaweuDDOuXD5zI38YzjLt43Z-FQZ7HAuIFyACP2lb53FW7rWVkpF5JTSeHaZJvLLYv5jAjFgxkaUZUlRpH9Yn9BO5S8dHAzL2d4zf-ktehM9SPy1hXwfvXD1Adrdqiv4Dv2eNQ9krFa6qXHHPManV6A8ACPcVHjaFYmweBLIfzhWLsddA0-Qg314SiKTAHfiYF34BBsGI2d8mh2r2mL4Xjfg1N34N9_bu7euj36eTRbjcxKbLhCTSbYmDrSfsaISThSVqGSlrZAuU3kiWMWt0QZ8gsJKqrTSuWJKOV80UIHnoahOGD1Evbqp3RHCqQMhFQQkXjL4GhqUcs6LoshNWjGeDVDSgVGaWJHcN8a4LkNkksjS41d6_MqI3wB9fppy25bj-N_gvgdsa2CL1QANO8jLuGPvSgrGXMICyuT7f0w7QTvni8tZOZvOLz6g1_5LLSlxiHrr1cYdo1fmfn11t_oYluUjr2bg-A
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=Low-Carbon+Economic+Dispatch+of+Integrated+Energy+Systems+Considering+Full-Process+Carbon+Emission+Tracking+and+Low+Carbon+Demand+Response&rft.jtitle=IEEE+transactions+on+network+science+and+engineering&rft.au=Zhang%2C+Yumin&rft.au=Sun%2C+Pengkai&rft.au=Ji%2C+Xingquan&rft.au=Yang%2C+Ming&rft.date=2024-11-01&rft.pub=IEEE&rft.eissn=2334-329X&rft.volume=11&rft.issue=6&rft.spage=5417&rft.epage=5431&rft_id=info:doi/10.1109%2FTNSE.2024.3420771&rft.externalDocID=10582490
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2327-4697&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2327-4697&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2327-4697&client=summon