Economic Dispatch Menggunakan Metode Optimasi Grey Wolf Optimizer (GWO) Dengan Mempertimbangkan Load Shedding Dan Penetrasi Energi Terbarukan

Rahman, Muhammad Izzatito (2025) Economic Dispatch Menggunakan Metode Optimasi Grey Wolf Optimizer (GWO) Dengan Mempertimbangkan Load Shedding Dan Penetrasi Energi Terbarukan. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Economic Dispatch merupakan metode penjadwalan pembangkitan daya untuk memenuhi permintaan beban dengan biaya serendah mungkin, sambil tetap mempertimbangkan batasan teknis tiap unit pembangkit. Dalam upaya mengoptimalkan efisiensi dan keberlanjutan sistem tenaga listrik, penetrasi Energi Baru Terbarukan (EBT) seperti PLTS dan PLTB diperhitungkan. Meskipun EBT memiliki biaya operasi yang rendah, kapasitasnya yang terbatas dan tidak selalu stabil menyebabkan risiko ketidaksesuaian antara suplai dan permintaan daya sehingga strategi load shedding digunakan. Penelitian ini bertujuan untuk mengoptimalkan ED dengan mempertimbangkan kontribusi EBT dan tiga skenario load shedding dengan prioritas pelepasan secara penuh, parsial, dan acak menggunakan metode optimasi GWO dan PSO. Hasil simulasi ED dasar menggunakan GWO sebesar $602,57, sedangkan PSO sebesar $602,58, sedangkan ED dengan penetrasi EBT skema siang sebesar $708,40, sedangkan pada skema malam sebesar $647,04 dan bernilai sama untuk metode GWO dan PSO. Pada skema ED dengan load shedding prioritas pelepasan secara penuh, penetrasi EBT menurunkan biaya pembangkitan dari $29.574,10 menjadi $2.505,68. Pada skema ED dengan load shedding prioritas pelepasan secara parsial, penetrasi EBT menurunkan biaya pembangkitan dari $34.982,10 menjadi $2.780,68. Pada skema ED dengan load shedding pelepasan secara acak, penetrasi EBT menurunkan biaya pembangkitan dari $63.357,50 menjadi $3.711,78. Skema load shedding paling murah yaitu prioritas pelepasan secara penuh dan paling feasible dilakukan yaitu prioritas pelepasan secara parsial dan penetrasi EBT selain mampu meningkatkan efisiensi sistem juga terbukti mengurangi biaya load shedding sehingga mengurangi total biaya pembangkitan.
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Economic Dispatch is a method of scheduling power generation to meet load demand at the lowest possible cost, while still considering the technical limitations of each power plant unit. In an effort to optimize the efficiency and sustainability of the electricity system, the penetration of New Renewable Energy (EBT) such as solar power plants (PLTS) and wind power plants (PLTB) is taken into account. Although EBT has low operating costs, its limited capacity and inconsistent stability pose risks of mismatch between supply and demand, necessitating load shedding strategies. This study aims to optimize ED by considering EBT contributions and three load shedding scenarios with full, partial, and random release priorities using GWO and PSO optimization methods. The simulation results for the base ED using GWO were $602.57, while PSO was $602.58. For the ED with daytime EBT penetration, the results were $708.40, while for the nighttime scenario, they were $647.04, with identical values for both GWO and PSO methods. In the ED scheme with full load shedding priority, EBT penetration reduces generation costs from $29,574.10 to $2,505.68. In the ED scheme with partial load shedding priority, EBT penetration reduces generation costs from $34,982.10 to $2,780.68. In the ED scheme with random load shedding, EBT penetration reduces generation costs from $63,357.50 to $3,711.78. The cheapest load shedding scheme is full priority release, and the most feasible to implement is partial priority release. EBT penetration not only improves system efficiency but also reduces load shedding costs, thereby lowering total generation costs.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Economic Dispatch, Grey Wolf Optimizer, Particle Swarm Optimization, Pelepasan Beban, Energi Terbarukan, Load Shedding, Renewable Energy
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001 Production of electric energy or power T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1087 Photovoltaic power generation T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1322.6 Electric power-plants 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:	Muhammad Izzatito Rahman
Date Deposited:	24 Jul 2025 03:38
Last Modified:	24 Jul 2025 03:38
URI:	http://repository.its.ac.id/id/eprint/121018

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