Article Per Year (5 Year)
p-Index From 2021 - 2026
0.817
P-Index
This Author published in this journals
All Journal Jurnal Teknik ITS JUTI: Jurnal Ilmiah Teknologi Informasi INTECOMS: Journal of Information Technology and Computer Science JAREE (Journal on Advanced Research in Electrical Engineering) Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Rony Seto Wibowo
Institut Teknologi Sepuluh Nopember
Computer Science & IT Control & Systems Engineering Dentistry Education Electrical & Electronics Engineering Energy Engineering Library & Information Science

Published : 12 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 12 Documents
Search

 1   2 
Dinamic Economic Dispatch (DED) Berbasis Mixed Integer Linear Programming (MILP) Dengan Mempertimbangkan Pembangkit EBT Pada Kelistrikan Pulau Sumbawa Tri Handoyo Baniantoro; Rony Seto Wibowo
INTECOMS: Journal of Information Technology and Computer Science Vol 7 No 3 (2024): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v7i3.9176

Abstract

In the Dynamic Economic Dispatch (DED) based on Mixed Integer Linear Programming (MILP) for the electricity of Sumbawa Island by considering RE (Renewable Energy) power plants, several aspects need to be considered, namely Variable Addition and Limitations: In the MILP model, the new variable must include the allocation of power from RE sources, such as solar power plants or geothermal power plants. Relevant technical and operational constraints should also be applied, such as capacity limits, characteristic curves and sustainability limits for renewable energy sources. The Sumbawa Island electricity system must consider the technical limitations related to RE Power plants. This includes capacity limitations, sustainability limitations (such as solar radiation levels or water discharge during the dry season), as well as the system's ability to handle variations in power generated by RE Power plants that depend on natural energy sources. One of the challenges in integrating RE Power plants is its variability. Renewable energy sources such as solar and hydropower tend to fluctuate in their power output depending on weather conditions. Therefore, the DED model must consider predictions or estimates of the power generated by RE Power plants to optimize accurate power allocation and minimize operational costs. The simulation results show that the Mixed Integer Linear Programming (MILP) method is able to provide a simple and economical solution to the DED problem. The change in operation using gas fuel and cofiring by 5% is a factor in the existence of minimal fixed power in the system. This thesis is a DED solution using Mixed Integer Linear Programming (MILP) by considering fuel changes as the main consideration in mathematical calculations to determine plant operation. With the change in PLTMG fuel type from B35 to gas, total generation costs decreased by 10.89%. With the change in PLTMG fuel type from B35 to gas and PLTU cofiring by 5%, total generation costs decreased by 10.94%.
Mixed-Integer Linear Programming for Optimal Operation of Integrated Electricity and Natural Gas System Considering Take or Pay Agreements Ervina Nooraini; Mohamad Almas Prakasa; Muhammad Ruswandi Djalal; Rony Seto Wibowo; Imam Robandi
JUTI: Jurnal Ilmiah Teknologi Informasi Vol.23, No.2, July 2025
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24068535.v23i2.a1265

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.                                                        
Co-Authors Adi Soeprijanto Afif Nur Wahyudi Agung Wicaksono Benny Prastikha Hadhi Cakasana Alif Bathamantri Ervina Nooraini Fakhruddin Wirakusuma Firdaus Firdaus Habibur Rohman Heri Suryoatmojo I Made Yulistya Negara Imam Robandi Luqman Nur Imansyah Mohamad Almas Prakasa Muhammad Ruswandi Djalal Ontoseno Penangsang Soedibjo Soedibjo Tri Handoyo Baniantoro Umar Wendy Kurniawan Kautsar Zainal Abidin