Multi-objective integrated energy control system that uses compromise programming method

This paper establishes a mathematical model for the optimal scheduling problem of the P2G-CCS integrated energy system. The model comprehensively optimizes the allocation and scheduling of various energy forms within the IES, such as electricity, thermal energy, and gas, focusing on economic efficie...

Full description

Saved in:
Bibliographic Details
Published in:2025 4th International Conference on Smart Grid and Green Energy (ICSGGE) pp. 60 - 65
Main Authors: Qu, Haoming, Li, Yang
Format: Conference Proceeding
Language:English
Published: IEEE 28.02.2025
Subjects:
Carbon dioxide
Compromise Programming
Costs
Electricity
Fuzzy Decision Making
Integrated Energy System
Mathematical models
Optimal scheduling
P2G-CCS Technology
Power system stability
Programming
Resource management
Stability analysis
Thermal stability
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract This paper establishes a mathematical model for the optimal scheduling problem of the P2G-CCS integrated energy system. The model comprehensively optimizes the allocation and scheduling of various energy forms within the IES, such as electricity, thermal energy, and gas, focusing on economic efficiency, environmental impact, and system robustness. The compromise programming method transforms the multi-objective problem into a single-objective problem. During the solution process, the max-min comparison method and fuzzy decision-making are used to select the most suitable compromise solution between economic efficiency and environmental impact. Simulation analysis demonstrates the method's effectiveness, yielding an optimal compromise solution costing 12,856.3689 Yuan(Y) and carbon emissions of \mathbf{1 0, 0 2 0. 2 9 0 8} \mathbf{k g}. Through optimal allocation and scheduling, the integrated energy system can significantly reduce operational costs and carbon emissions while ensuring the stability and reliability of the energy supply.
AbstractList This paper establishes a mathematical model for the optimal scheduling problem of the P2G-CCS integrated energy system. The model comprehensively optimizes the allocation and scheduling of various energy forms within the IES, such as electricity, thermal energy, and gas, focusing on economic efficiency, environmental impact, and system robustness. The compromise programming method transforms the multi-objective problem into a single-objective problem. During the solution process, the max-min comparison method and fuzzy decision-making are used to select the most suitable compromise solution between economic efficiency and environmental impact. Simulation analysis demonstrates the method's effectiveness, yielding an optimal compromise solution costing 12,856.3689 Yuan(Y) and carbon emissions of \mathbf{1 0, 0 2 0. 2 9 0 8} \mathbf{k g}. Through optimal allocation and scheduling, the integrated energy system can significantly reduce operational costs and carbon emissions while ensuring the stability and reliability of the energy supply.
Author Li, Yang
Qu, Haoming
Author_xml – sequence: 1
  givenname: Haoming
  surname: Qu
  fullname: Qu, Haoming
  email: haomingqu6@gmail.com
  organization: University of Sydney,School of Electrical and Computer Engineering,Sydney,Australia
– sequence: 2
  givenname: Yang
  surname: Li
  fullname: Li, Yang
  email: yangli9652@gmail.com
  organization: Management and Law Shenyang Institute of Engineering,School of Economics,Shenyang,China
BookMark eNo1T8FOwzAUCxIcYOwPOIQPaGmSJm2OqBpl0hAHduA2Je1rF9SkU5Ih9e8JYlxsyZYt-w5du9kBQo-kyAkp5NO2-WjbjSiFqHJaUJ4nseaMkiu0lpWsGSO8pITJW_T5dp6iyWb9BV0034CNizB6FaHH4MCPC-5mF_084bCECBbHo4r4HCAkw578bE0AnDiFrDVuxBbice7v0c2gpgDrC6_Q_mWzb16z3Xu7bZ53mZEsZj10pYCK9BTk71JNqAKpOpFAyLKGEqTWpNfJ1APlSnDCOK_qouBDVWu2Qg9_tQYADidvrPLL4f8v-wFEuVKw
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DOI 10.1109/ICSGGE64667.2025.10985321
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Xplore POP ALL
IEEE Xplore All Conference Proceedings
IEEE Electronic Library (IEL)
IEEE Proceedings Order Plans (POP All) 1998-Present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
EISBN 9798331542139
EndPage 65
ExternalDocumentID 10985321
Genre orig-research
GroupedDBID 6IE
6IL
CBEJK
RIE
RIL
ID FETCH-LOGICAL-i93t-dec46e71d2e92025b12ae9ac6e9a6948e4e9bb1db202bf25a65135578005f78b3
IEDL.DBID RIE
IngestDate Thu May 29 05:57:27 EDT 2025
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i93t-dec46e71d2e92025b12ae9ac6e9a6948e4e9bb1db202bf25a65135578005f78b3
PageCount 6
ParticipantIDs ieee_primary_10985321
PublicationCentury 2000
PublicationDate 2025-Feb.-28
PublicationDateYYYYMMDD 2025-02-28
PublicationDate_xml – month: 02
  year: 2025
  text: 2025-Feb.-28
  day: 28
PublicationDecade 2020
PublicationTitle 2025 4th International Conference on Smart Grid and Green Energy (ICSGGE)
PublicationTitleAbbrev ICSGGE
PublicationYear 2025
Publisher IEEE
Publisher_xml – name: IEEE
Score 1.9006283
Snippet This paper establishes a mathematical model for the optimal scheduling problem of the P2G-CCS integrated energy system. The model comprehensively optimizes the...
SourceID ieee
SourceType Publisher
StartPage 60
SubjectTerms Carbon dioxide
Compromise Programming
Costs
Electricity
Fuzzy Decision Making
Integrated Energy System
Mathematical models
Optimal scheduling
P2G-CCS Technology
Power system stability
Programming
Resource management
Stability analysis
Thermal stability
Title Multi-objective integrated energy control system that uses compromise programming method
URI https://ieeexplore.ieee.org/document/10985321
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV07T8MwED5BhRATIIJ4y0isKST1I56rtrBUleiQrYrjiygSCUoTfj9nJy1iYGCxLMeKnbPi-86-7w7gISfMLZAsVR4ZKoQ1oeZKh4RFOBkkkmOU-WQTaj5P0lQverK658Igonc-w6Gr-rt8W-WtOyqjP1yTdnG08X2lVEfWOoT7Pm7m48v4dTabSC6lIsMvFsNt_1-ZU7zimB7_c8gTCH4oeGyxUy6nsIflGaSeLhtW5r3bptgu2INl6El8rHc9Z12EZta8ZQ1rN7hhzne8rmhVkfU-WR_0YtZlkA5gOZ0sx89hnxohXOtRE1rMuUQV2Ri1-1ITxRnqLJdUSBIyctTGRNbQQ1PEIpMiImChCB2KQiVmdA6DsirxAtgTCrJ4MhsXnHPl7oStyJE2giIhaBgXlxA4qaw-u-AXq61Arv5ov4YjN6OO9X0Dg6Zu8RYO8q9mvanv_JJ9A6zpme8
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LT8MwDLbQQMAJEEO8CRLXDpIl6XKe9hJjmsQOu01N44ohsaKt4_fjpN0QBw5coihVmtRR48-JPxvgISXMrZAsVcktFcrZyMjYRIRFJBkkWiJPQrKJeDRqTadmXJHVAxcGEYPzGTZ8Ndzluzxd-6My-sMNaRdPG99VUgpe0rX24b6KnPk4aL_2eh0ttY7J9BOqsenxK3dKUB3do38Oegz1HxIeG2_Vywns4OIUpoEwG-X2vdyo2Dbcg2MYaHyscj5nZYxmVrwlBVuvcMW89_gyp3VFVnllfdCLWZlDug6TbmfS7kdVcoRobppF5DCVGmPuBBr_pZaLBE2Saio0iRklGmu5s_TQZkIlWnGCFjHhQ5XFLds8g9oiX-A5sCdUZPMkTmRSytjfCjuVIm0FWYvAocguoO6lMvssw1_MNgK5_KP9Dg76k5fhbDgYPV_BoZ9dyQG_hlqxXOMN7KVfxXy1vA3L9w3bNJ02
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%3Abook&rft.genre=proceeding&rft.title=2025+4th+International+Conference+on+Smart+Grid+and+Green+Energy+%28ICSGGE%29&rft.atitle=Multi-objective+integrated+energy+control+system+that+uses+compromise+programming+method&rft.au=Qu%2C+Haoming&rft.au=Li%2C+Yang&rft.date=2025-02-28&rft.pub=IEEE&rft.spage=60&rft.epage=65&rft_id=info:doi/10.1109%2FICSGGE64667.2025.10985321&rft.externalDocID=10985321