Penjadwalan Pembangkit Thermal Mempertimbangkan Distributed Energy Resources Dengan Menggunakan Turbulent Flow Of Water Optimization

Triputradi, Moh Erdianto (2023) Penjadwalan Pembangkit Thermal Mempertimbangkan Distributed Energy Resources Dengan Menggunakan Turbulent Flow Of Water Optimization. Masters thesis, Institut Teknologi Sepuluh Nopember.

Text 6022202023-Master_Thesis.pdf - Accepted Version Restricted to Repository staff only until 1 October 2025. Download (1MB) | Request a copy

Abstract

Optimisasi penjadwalan pembangkit generator merupakan hal penting untuk mendapatkan biaya pembangkitan yang minimum dalam periode tertentu. Optimisasi penjadwalan pembangkit pada penelitian ini dengan mempertimbangkan Distributed Energy Resources menggunakan Turbulent Flow of Water Optimiation. Jenis distributed energy resources yang digunakan berupa emergency demand response program, turbin angin dan plug-in electric vehicle. EDRP adalah sebuah cara untuk mengurangi beban puncak untuk meminimalkan biaya pembangkitan generator. Daya keluaran pada turbin angin pada penelitian ini, berdasarkan masukan dari ketidakpastian kecepatan angin yang didapatkan dari fungsi distribusi Weibull. Optimisasi penjadwalan pembangkit mempertimbangkan plug-in electric vehicle dilakukan untuk menentukan jumlah PEV tiap jamnya. Hasil simulasi menunjukkan bahwa dengan dipertimbangkannya distributed energy resources pada optimasi penjadwalan pembangkit menggunakan Turbulent Flow of Water Optimization dapat mengurangi biaya pembangkitan sebesar $ 55.002,32.
===================================================================================================================================
Optimizing the scheduling of generator units is crucial for achieving minimum generation costs within a specific time period. In this study, the optimization of generator scheduling is carried out by considering Distributed Energy Resources using the Turbulent Flow of Water Optimization metaheuristic method. The types of distributed energy resources utilized include an emergency demand response program, wind turbines, and plug-in electric vehicles. The Emergency Demand Response Program is a means to reduce peak loads in order to minimize generator generation costs. The power output of the wind turbines in this study is determined based on input uncertainties of wind speed, obtained from the Weibull distribution function with specific scale and shape parameters. The optimization of generator scheduling also takes into account plug-in electric vehicles to determine the number of vehicles per hour. Simulation results demonstrate that by considering distributed energy resources in the optimization of generator scheduling using Turbulent Flow of Water Optimization, generation costs can be reduced by $ 55.002,32.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Distributed energy resource, Emergency Demand Response, Turbin angin, Plugin Electric Vehicle & Turbulent Flow of Water Optimization ============================================================ Distributed energy resource, Emergency Demand Response, Wind Turbin, Plugin Electric Vehicle & Turbulent Flow of Water Optimization
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1322.6 Electric power-plants
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20101-(S2) Master Thesis
Depositing User:	Moh Erdianto Triputradi
Date Deposited:	27 Jul 2023 12:38
Last Modified:	27 Jul 2023 12:38
URI:	http://repository.its.ac.id/id/eprint/98635

Actions (login required)

View Item