Dynamic Optimal Power And Gas Flow Pada Sistem Tenaga Listrik Dan Sistem Gas Alam Terintegrasi Mempertimbangkan Take-or-pay Gas

Nooraini, Ervina (2022) Dynamic Optimal Power And Gas Flow Pada Sistem Tenaga Listrik Dan Sistem Gas Alam Terintegrasi Mempertimbangkan Take-or-pay Gas. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pemenuhan kebutuhan listrik perlu memerhatikan efisiensi, efek terhadap lingkungan, dan biaya operasi. Di sektor pembangkitan tenaga listrik, pembangkit listrik berbahan bakar gas mengalami peningkatan karena memiliki efisiensi yang tinggi, emisi polutan yang minim, dan biaya operasi yang lebih rendah dibanding pembangkit listrik berbahan bakar batu bara. Pembangkit listrik berbahan bakar gas juga memiliki keunggulan fleksibilitas operasi sehingga dapat diandalkan untuk memenuhi berbagai kondisi beban maupun sebagai cadangan. Peningkatan pembangkit listrik berbahan bakar gas meningkatkan ketergantungan pada sistem tenaga listrik dan sistem gas alam. Pada sisi sistem tenaga listrik, perhitungan aliran daya optimal dinamik (Dynamic Optimal Power Flow) dibutuhkan untuk memenuhi tingkat beban yang bervariasi dari waktu ke waktu. Pada sisi sistem gas alam, tingkat konsumsi gas yang variatif menyebabkan perubahan tekanan di jaring pipa transmisi gas, sehingga perhitungan aliran gas optimal dibutuhkan untuk menjamin keandalan. Di sisi lain, perusahaan pembangkit berbahan bakar gas memiliki kontrak suplai bahan bakar dengan skema Take-or-Pay dengan penyedia gas alam, sehingga diperlukan optimisasi pembangkit untuk memperoleh total bahan bakar gas yang telah disepakati. Oleh karena itu, Dynamic Optimal Power and Gas Flow dengan mempertimbangkan Take-or-Pay gas diperlukan untuk mencapai pengoperasian sistem tenaga listrik dan sistem gas alam terintegrasi secara optimal. Pada penelitian ini, penyelesaian aliran daya dan aliran gas optimal dinamik menggunakan Mixed Integer Linear Programming (MILP). Simulasi pada sistem tenaga listrik 6-bus dan sistem gas alam 6-node terintegrasi menggunakan MILP menghasilkan solusi optimal dengan memenuhi permintaan beban serta batasan kedua sistem dengan biaya operasi minimum. Penambahan batasan Take-or-Pay gas x meningkatkan biaya operasi hingga 7,67% namun berhasil menyesuaikan total bahan bakar gas sehingga tidak terjadi pelanggaran kontrak.
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Electricity demand fulfillment needs to consider efficiency, effects on the environment, and operating costs. In the power generation sector, gas-fired power plants have increased due to their high efficiency, minimal pollutant emissions, and lower operating costs than coal-fired power plants. Gas-fired power plants also have the flexibility of operation so they can be relied on to meet various load conditions as well as a backup. The interdependence between electricity and natural gas system has been increasing due to the raising reliance of natural gas in electricity generation. On the power system side, Dynamic Optimal Power Flow (DOPF) is needed to determine real-time power delivery for load demand which can vary from time to time. On the natural gas system side, the time-varying amount of gas consumptions by gas-fired power plants cause pressure fluctuations in gas transmission pipelines, therefore optimal gas flow calculation is needed to ensure reliability. In addition, gas-fired power plant companies have fuel supply contracts with natural gas providers under a “Take-or-Pay” agreement, so optimization of power plants is required to obtain the minimum agreed total gas fuel. Therefore, Dynamic Optimal Power and Gas Flow considering Take-or-Pay gas is required to achieve optimal operation of integrated electricity and natural gas system. This paper implements Mixed-Integer Linear Programming (MILP) to solve Dynamic Optimal Power and Gas Flow (DOPGF). Simulation using a 6-bus electricity system and 6-node natural gas system verify that the MILP approach can conduct optimal solutions by fulfilling the load demand and system constraints with minimum costs. The addition of Take-or-Pay gas increases operating costs by 7.67% but managed to adjust the total gas fuel so that no contract infraction occurred.

Item Type:	Thesis (Other)
Additional Information:	RSE 621.31 Noo d-1 2022
Uncontrolled Keywords:	Aliran Daya dan Aliran Gas Optimal Dinamik, Mixed-Integer Linear Programming, Sistem Tenaga Listrik dan Sistem Gas Alam Terintegrasi, Take-or-Pay Gas.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1007 Electric power systems control
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User:	- Davi Wah
Date Deposited:	11 Dec 2023 03:00
Last Modified:	11 Dec 2023 03:00
URI:	http://repository.its.ac.id/id/eprint/105263

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