Optimalisasi Pengoperasian Sistem Kelistrikan dan Gas Alam Terintegrasi Menggunakan Mixed-Integer Linear Programming

Risamasu, Yasmin Anggraeni (2021) Optimalisasi Pengoperasian Sistem Kelistrikan dan Gas Alam Terintegrasi Menggunakan Mixed-Integer Linear Programming. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

Text 07111740000073-Undergraduate_Thesis.pdf - Accepted Version Restricted to Repository staff only until 1 October 2023. Download (4MB) | Request a copy

Abstract

Seiring berjalannya waktu, jumlah pembangkit listrik berbahan bakar gas terus meningkat. Pembangkit listrik berbahan bakar gas sangat diandalkan untuk memenuhi kebutuhan beban serta sebagai penopang beban puncak. Selain efisiensinya yang tinggi, unit berbahan bakar gas sangat menguntungkan karena capital cost-nya yang rendah, instalasinya yang cepat, emisi polutan yang minim, serta kecepatan start up dan shut down-nya yang menjadikan unit berbahan bakar gas sesuai untuk beban dasar, menengah serta puncak, juga sebagai backup untuk pembangkit renewable yang bersifat intermittent. Meningkatnya kebutuhan gas alam dalam pembangkitan listrik meningkatkan ketergantungan antara sektor energi listrik dan gas. Optimal Power and Gas Flow (OPGF) merupakan masalah paling mendasar dalam gabungan dua sistem tersebut. Tingkat konsumsi gas yang bervariasi dari waktu ke waktu menyebabkan fluktuasi tekanan pada jaringan pipa transmisi gas, yang dapat berdampak negatif pada keamanan dan keandalan pengiriman gas. Selain itu, sistem gas memiliki dinamika yang lebih lambat dibandingkan sistem kelistrikan dan membutuhkan waktu stabilisasi yang lebih lama dalam memproses perubahan beban dan gangguan. Oleh karena itu, diperlukan perhitungan OPGF pada sistem kelistrikan dan gas alam terintegrasi untuk meminimalkan biaya operasi. Pada tugas akhir ini, permasalahan OPGF diselesaikan menggunakan Mixed-Integer Linear Programming (MILP) dengan nilai RMSE hasil Piecewise Linear Approximation sebesar 5.57.
================================================================================================
Over time, the number of gas-fired power plants continues to increase. Gas-fired power plants are highly reliable to meet load demands and fulfill peak loads. Gas-fired units are very advantageous due the high efficiency, low capital costs, fast installation, minimal pollutant emissions, and start up and shut down quickness, which make gas-fired units suitable for basic, medium, and peak loads, as well as a backup for intermittent renewable generators. The increasing demand for natural gas in power generation increases the interdependence between electricity and natural gas sectors. Optimal power and gas flow (OPGF) is the most fundamental problem in the integration of the two systems. The level of gas consumption that varies from time to time causes fluctuations in the gas transmission pipeline network, which can have a negative impact on the safety and delivery of gas. In addition, gas systems have slower dynamics than electrical systems and require longer stabilization times to process load changes and disturbances. Therefore, it is necessary to calculate the optimal power and gas flow in the integrated electricity and natural gas system for operating costs. In this final project, the OPGF problem is solved using Mixed-Integer Linear Programming (MILP) with an RMSE value of Piecewise Linear Approximation of 5.57.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Aliran Daya dan Gas Optimal, Sistem Kelistrikan dan Gas Alam Terintegrasi, Mixed-Integer Linear Programming, Optimal Power and Gas Flow, Integrated Electricity and Natural Gas System.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK201 Electric Power Transmission T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1322.6 Electric power-plants T Technology > TP Chemical technology > TP350 Natural gas--Drying.
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User:	Yasmin Anggraeni Risamasu
Date Deposited:	16 Aug 2021 05:29
Last Modified:	16 Aug 2021 05:29
URI:	http://repository.its.ac.id/id/eprint/86982

Actions (login required)

View Item