Taufiqurrahman, Taufiqurrahman (2026) Analisis Operasional Pembangkit dengan Metode Mixed Interger Linear Programming untuk Menentukan Prioritas dan Economic Distpatch. Studi kasus pada Pembangkit PLTMG Sei Gelam, PT PLN Indonesia Power Unit Bisnis Pembangitan Jambi. Masters thesis, Institut Teknologi Sepuluh Nopember.
![[thumbnail of 6010241040-Master_Thesis.pdf]](http://repository.its.ac.id/style/images/fileicons/text.png) |
Text
6010241040-Master_Thesis.pdf - Accepted Version Restricted to Repository staff only Download (4MB) | Request a copy |
Abstract
Operasi pembangkit listrik tenaga gas memerlukan pendekatan yang objektif dan kuantitatif dalam menentukan prioritas unit pembangkit serta distribusi daya yang optimal. Metode konvensional unit commitment dan economic dispatch umumnya hanya mempertimbangkan biaya bahan bakar dan kapasitas nominal sehingga belum mencerminkan kondisi keandalan aktual setiap unit. Penelitian ini mengusulkan model Mixed Integer Linear Programming (MILP) yang mengintegrasikan parameter Overall Equipment Effectiveness (OEE) dan Specific Fuel Consumption (SFC) untuk menentukan prioritas operasi unit dan alokasi daya. OEE digunakan sebagai indikator keandalan dalam menghitung kapasitas efektif dan menyusun skor komposit setiap unit. Model diimplementasikan menggunakan LINGO v22 pada PLTMG Sei Gelam yang memiliki sebelas unit mesin Wartsila W20V34SG. Optimasi dilakukan pada horizon operasi 24 jam dengan mempertimbangkan kendala permintaan daya, kapasitas efektif, ramp rate, dan reserve margin. Hasil penelitian menunjukkan bahwa model menghasilkan solusi optimum global dengan nilai fungsi tujuan sebesar Z = 5218,097, lebih baik dibandingkan metode equal-load dispatch konvensional (Z = 5248,05), sehingga meningkatkan efisiensi sebesar 0,57% dengan total produksi energi tetap 593 MWh. Unit SM07 dan SM02 menjadi prioritas utama berdasarkan skor komposit. Model yang dikembangkan memberikan strategi dispatch yang lebih efisien dan realistis sesuai kondisi aktual pembangkit.
=======================================================================================================================================
Efficient operation of gas-fired power plants requires an objective and quantitative approach for determining unit priority and optimal power distribution. Conventional unit commitment and economic dispatch models primarily rely on fuel cost functions and nominal capacity, often neglecting actual unit reliability conditions. This study proposes a novel Mixed-Integer Linear Programming (MILP) model that integrates Overall Equipment Effectiveness (OEE) and Specific Fuel Consumption (SFC) as key parameters for both unit prioritization and economic dispatch. OEE, derived from Total Productive Maintenance (TPM), is adapted as a reliability-based performance indicator to estimate effective capacity and construct composite unit scores. The proposed MILP model performs unit commitment and economic dispatch over a 24-hour horizon under constraints including demand balance, effective capacity, ramp rates, and reserve margin. The model is implemented using LINGO v22 and applied to PLTMG Sei Gelam, consisting of eleven Wartsila W20V34SG units operated by PT PLN Indonesia Power in Jambi, Indonesia. The results demonstrate that the model achieves a global optimum solution with an objective value of Z = 5218.097, representing a 0.57% improvement compared to the conventional equal-load dispatch method (Z = 5248.05), while maintaining the same total energy production of 593 MWh. Units SM07 and SM02 are identified as priority units based on their composite performance scores. These results indicate that the integration of reliability and fuel-efficiency parameters into the MILP framework provides a more adaptive, realistic, and data-driven approach for supporting operational decision-making in gas power plant systems.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | Unit Commitment, Economic Dispatch, MILP, Overall Equipment Effectiveness, Pembangkit Listrik Tenaga Gas, PLTMG |
| Subjects: | T Technology > T Technology (General) > T57.6 Operations research--Mathematics. Goal programming |
| Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26101-(S2) Master Thesis |
| Depositing User: | Taufiqurrahman Taufiqurrahman |
| Date Deposited: | 27 Jul 2026 14:45 |
| Last Modified: | 27 Jul 2026 14:45 |
| URI: | http://repository.its.ac.id/id/eprint/138847 |
Actions (login required)
 |
View Item |