Dynamic Optimal Gas & Power Flow Mempertimbangkan Instalasi Teknologi Power-to-Gas (P2G)

Arianto, Marcel Nicky (2023) Dynamic Optimal Gas & Power Flow Mempertimbangkan Instalasi Teknologi Power-to-Gas (P2G). Other thesis, Institut Teknologi Sepuluh Nopember.

Text 07111940000174-Undergraduate_Thesis.pdf - Accepted Version Restricted to Repository staff only until 1 October 2025. Download (7MB) | Request a copy

Abstract

Dewasa ini, pembangkitan tenaga listrik dengan sumber renewable energy (EBT) kian marak digunakan. Pembangkitan EBT yang tidak berimbang dengan demand akan menimbulkan potensi terjadinya surplus energi listrik pada sistem. Teknologi power-to-gas (P2G) menjadi salah satu solusi untuk memanfaatkan surplus energi dengan cara mengubah energi listrik menjadi gas hidrogen (H2) ataupun metana (CH4) yang dapat digunakan pada jaringan distribusi gas alam. Perhitungan dynamic optimal gas and power flow (DOGPF) perlu dilakukan untuk mengetahui kondisi aliran daya listrik dan gas optimal yang mengalir pada sistem dengan tetap menjaga biaya operasi minimum. Oleh karena itu, penelitian ini akan memberikan penyelesaian DOGPF mempertimbangkan instalasi P2G dengan menggunakan metode optimasi Mixed-Integer Linear Programming (MILP) menggunakan MATLAB. Hasil penelitian ini menunjukkan bahwa operasi P2G berguna untuk memanfaatkan surplus energi dari pembangkit EBT untuk dikonversi menjadi gas. Operasi dari P2G berhasil menurunkan injeksi gas sebesar 0,11% hingga 0,74% dari total injeksi gas, dengan penurunan biaya operasi sebesar 0,01% hingga 0,09% dari total biaya operasi sistem. Adanya kontrak take-or-pay (TOP) gas cenderung akan mengurangi penyerapan daya oleh P2G agar kemungkinan terjadinya looping hasil konversi P2G untuk suplai PLTG dapat dikurangi sehingga kontrak TOP gas dapat dipenuhi.
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In recent years, renewable energy generation has been widely implemented. Renewable energy supply without an even demand will potentially cause an energy surplus in the system. Power-to-gas (P2G) technology becomes one of the proposed solutions to harvest the energy surplus by converting the electricity into hydrogen or methane, which later could be used in the natural gas distribution network. Dynamic optimal gas and power flow (DOGPF) needs to be calculated to identify the system’s optimal power and gas flow to keep the minimum operating cost. Therefore, this research offers DOGPF results considering P2G technology installation using Mixed-Integer Linear Programming (MILP) optimization via Matlab software. The results show that P2G could be used for harnessing energy surplus from renewable energy sources by converting the electricity into gas. P2G operation is proven to lower gas injection around 0,11% to 0,74% of the system’s total gas injection. Moreover, the system’s optimal operation cost is estimated to be around 0,01% to 0,09% lower than normal operation without P2G. The use of take-or-pay contract for gas-fired power plants (GFPP) are shown to decrease electricity surplus absorption by the P2G system to minimize the possibility of gas conversion from P2G being used to supply GFPPs.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Power-to-Gas, Dynamic Optimal Power and Gas Flow (DOGPF), Mixed-Integer Linear Programming, Gas-Fired Power Plant, Surplus Energi.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK201 Electric Power Transmission T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001 Production of electric energy or power T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK3030 Electric power distribution systems
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User:	Arianto Marcel Nicky
Date Deposited:	25 Jul 2023 02:20
Last Modified:	25 Jul 2023 02:20
URI:	http://repository.its.ac.id/id/eprint/99341

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