Aliran Daya Dan Gas Optimal Pada Sistem Kelistrikan Terintegrasi Dengan Gas Alam Menggunakan Interior Point Optimization (IPOPT)

Al Fahri, Ahmad Bariq (2022) Aliran Daya Dan Gas Optimal Pada Sistem Kelistrikan Terintegrasi Dengan Gas Alam Menggunakan Interior Point Optimization (IPOPT). Masters thesis, Institut Teknologi Sepuluh Nopember.

Text 6022201017-Master_Thesis.pdf - Accepted Version Restricted to Repository staff only until 1 October 2024. Download (3MB) | Request a copy

Abstract

Bertambahnya beban listrik membutuhkan penambahan pembangkit pada sistem kelistrikan. Teknologi pada pembangkit tenaga gas yang semakin maju akan meningkatkan penggunaannya sebagai alternatif untuk menyuplai beban. Namun, tingkat konsumsi gas alam dari pembangkit ini dapat berpengaruh pada keamanan dan keandalan dari pengiriman gas. Sehingga diperlukan adanya koordinasi yang optimal antara sistem kelistrikan dan sistem gas alam. Ketersediaan dari energy storage (ES), photovoltaic (PV), dan wind turbine (WT) juga dapat dipertimbangkan dalam efisiensi biaya operasi. Penelitian ini bertujuan untuk menganalisis integrasi ES, PV, dan WT pada model aliran daya dan gas optimal (OPGF) berbasis non linear programming (NLP). Fungsi objektif dari optimasi adalah meminimalkan total biaya operasi. Sebuah model non-linear digunakan untuk merepresentasikan aliran daya dan aliran gas pada pipa. Simulasi dilakukan pada sistem kelistrikan 9-bus dan sistem gas alam 8-node menggunakan solver Interior Point Optimization (IPOPT). Hasil penelitian menunjukkan integrasi ES, PV, dan WT memberikan keuntungan pada biaya operasi sistem. Simulasi dengan mengintegrasikan ES dapat menurunkan biaya operasi sebesar 2,24% sedangkan untuk simulasi dengan PV dan WT turun sebesar 23,93%.
===================================================================================================================================
The growth in electrical demand requires more generating units in the power system. The advanced technology of gas-fired units would increase their usage as one of the alternatives to meet the demand. However, the natural gas consumption rates of these units could affect the safety and reliability of gas transmission. Thus, it is necessary to have optimal coordination between the interdependence of electrical power and natural gas system. Energy storage (ES), photovoltaic (PV), and wind turbine (WT) availability is also considered to improve operational cost efficiency. This research aims to analyze the ES, PV, and WT integration in the optimal power and gas flow (OPGF) model based on nonlinear programming (NLP). The objective function of optimization is to minimize the total operating cost. A non-linear model is used to represent the power flow as well as gas flow through a pipeline. Simulations are carried out on a 9-bus power system and 8-node natural gas system using Interior Point Optimization (IPOPT) solver. Finally, the results show that the integration of ES, PV, and WT benefits the total operating cost of the system. ES integration can reduce operating costs by 2.24% in the simulation while for simulation with PV and WT it decreases by 23.93%.

Item Type:	Thesis (Masters)
Additional Information:	RTE 621.873 Alf a-1 2022
Uncontrolled Keywords:	IPOPT, Non-Linear Programming (NLP), Optimal Power and Gas Flow (OPGF), sistem kelistrikan terintegrasi gas alam, Electrical and natural gas integrated system, IPOPT, Non-Linear Programming (NLP), Optimal Power and Gas Flow (OPGF)
Subjects:	Q Science > QA Mathematics > QA402.5 Genetic algorithms. Interior-point methods.
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20101-(S2) Master Thesis
Depositing User:	- Davi Wah
Date Deposited:	16 Jul 2024 08:32
Last Modified:	16 Jul 2024 08:32
URI:	http://repository.its.ac.id/id/eprint/108324

Actions (login required)

View Item