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Mixed-Integer Linear Programming for Optimal Operation of Integrated Electricity and Natural Gas System Considering Take or Pay Agreements

JUTI: Jurnal Ilmiah Teknologi Informasi · Vol. 23 No. 2 (2025) · pp. 32–47

DOI
10.12962/j24068535.v23i2.a1265
ISSN
2406-8535, 1412-6389
Published
2025-07-08
Publisher
Institut Teknologi Sepuluh Nopember
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

This paper is proposed to demonstrate the implementation of Mixed-Integer Linear Programming (MILP) for solving the optimal operation of the Integrated Electricity and Natural Gas System (IENGS). The MILP is used to realize an economical and reliable power electricity system based on Dynamic Optimal Power and Gas Flow (DOPGF) considering Take or Pay (TOP) agreements for natural gas. This method is simulated on the integrated 6-bus electricity and 6-node natural gas systems. By using MILP, the best costs for optimal operation of IENGS are obtained in three scenarios. The superiority of the MILP is validated by suppressing the increasing best cost for optimal operation to be below 10%. In the first case, the best cost is $735,405.37 without the TOP agreement. In the second scenario, the best cost ranges from $748,399.30 to $760,320.57 with the TOP agreement implemented in one-by-one generators, which is 1.77% to 3.39% higher than the first scenario. In the third case, the best cost is $791,833.04 with the TOP agreement in all of the generators, which is 7.67% higher than the first scenario. In addition, the MILP can perform the DOPGF for IENGS without violating the problem constraints regarding the load demand fulfillment and power system limitations in both coal-fired and gas-fired generators.

Collaboration network of the authors

17 authors · 39 co-authorship links · 8 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Institut Teknologi Sepuluh Nopember
  • Universitas Darul Ulum
  • Politeknik Negeri Ujung Pandang
  • Politeknik Bosowa
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Ontoseno PenangsangInstitut Teknologi Sepuluh Nopember2
Machrus AliUniversitas Darul Ulum1
Hidayatul NurohmahUniversitas Darul Ulum1
Dwi AjiatmoUniversitas Darul Ulum1
Eko Mulyanto YuniarnoInstitut Teknologi Sepuluh Nopember1
Yose RizalInstitut Teknologi Sepuluh Nopember1
Muhira Dzar FarabyPoliteknik Negeri Ujung Pandang1
Andi FitriatiPoliteknik Bosowa1
Ni Ketut AryaniInstitut Teknologi Sepuluh Nopember1
Mario Dwi PrasetyoInstitut Teknologi Sepuluh Nopember1
Marcel Nicky AriantoInstitut Teknologi Sepuluh Nopember1
Aulia Amjad LutfiInstitut Teknologi Sepuluh Nopember1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://juti.if.its.ac.id/index.php/juti/oai, first harvested 26 Okt 2026, last seen 26 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">Mixed-Integer Linear Programming for Optimal Operation of Integrated Electricity and Natural Gas System Considering Take or Pay Agreements</dc:title>
	<dc:creator xml:lang="en">Nooraini, Ervina </dc:creator>
	<dc:creator xml:lang="en">Prakasa, Mohamad Almas</dc:creator>
	<dc:creator xml:lang="en">Djalal, Muhammad Ruswandi </dc:creator>
	<dc:creator xml:lang="en">Wibowo, Rony Seto</dc:creator>
	<dc:creator xml:lang="en">Robandi, Imam</dc:creator>
	<dc:description xml:lang="en">This paper is proposed to demonstrate the implementation of Mixed-Integer Linear Programming (MILP) for solving the optimal operation of the Integrated Electricity and Natural Gas System (IENGS). The MILP is used to realize an economical and reliable power electricity system based on Dynamic Optimal Power and Gas Flow (DOPGF) considering Take or Pay (TOP) agreements for natural gas. This method is simulated on the integrated 6-bus electricity and 6-node natural gas systems. By using MILP, the best costs for optimal operation of IENGS are obtained in three scenarios. The superiority of the MILP is validated by suppressing the increasing best cost for optimal operation to be below 10%. In the first case, the best cost is $735,405.37 without the TOP agreement. In the second scenario, the best cost ranges from $748,399.30 to $760,320.57 with the TOP agreement implemented in one-by-one generators, which is 1.77% to 3.39% higher than the first scenario. In the third case, the best cost is $791,833.04 with the TOP agreement in all of the generators, which is 7.67% higher than the first scenario. In addition, the MILP can perform the DOPGF for IENGS without violating the problem constraints regarding the load demand fulfillment and power system limitations in both coal-fired and gas-fired generators.                                                        </dc:description>
	<dc:publisher xml:lang="en">Institut Teknologi Sepuluh Nopember</dc:publisher>
	<dc:date>2025-07-08</dc:date>
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	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://juti.if.its.ac.id/index.php/juti/article/view/1265</dc:identifier>
	<dc:identifier>10.12962/j24068535.v23i2.a1265</dc:identifier>
	<dc:source xml:lang="en">JUTI: Jurnal Ilmiah Teknologi Informasi; Vol.23, No.2, July 2025; 32-47</dc:source>
	<dc:source>2406-8535</dc:source>
	<dc:source>1412-6389</dc:source>
	<dc:source>10.12962/j24068535.v23i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://juti.if.its.ac.id/index.php/juti/article/view/1265/554</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2025 Ervina  Nooraini, Mohamad Almas Prakasa, Muhammad Ruswandi  Djalal, Rony Seto Wibowo, Imam Robandi</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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