Optimasi Penjadwalan Generator Diesel, Photovoltaic, Dan Bess (Battery Energy Storage System) Berbasis Fa (Firefly Algorithm) Pada Pulau Sangihe

Aitana, Darabean (2024) Optimasi Penjadwalan Generator Diesel, Photovoltaic, Dan Bess (Battery Energy Storage System) Berbasis Fa (Firefly Algorithm) Pada Pulau Sangihe. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Masalah optimasi di daerah terpencil telah menjadi masalah yang tidak dapat sepenuhnya diperbaiki dan disesuaikan di lapangan. Penelitian ini berfokus pada optimalisasi penjadwalan ulang pembangkit terdistribusi di Pulau Sangihe, daerah terpencil dengan tantangan pembangkit listrik dan distribusi. Tujuan utamanya adalah untuk meningkatkan efisiensi, keandalan, dan efektivitas biaya. Penelitian ini mengusulkan untuk mengintegrasikan masalah Unit Commitment (UC) dengan Firefly Algorithm (FA). Sistem kelistrikan di Pulau Sangihe terdiri dari beragam generator, termasuk energi terbarukan (photovoltaic) dan diesel. Untuk mengatasi kondisi dinamis, merumuskan masalah UC, mengatasi keadaan on/off dan output daya sambil mempertimbangkan kendala ekonomi dan teknis. Menggunakan Firefly Algorithm, karena dapat menangani masalah yang kompleks secara efisien. Validasi data di dunia nyata menunjukkan peningkatan substantial dalam efisiensi operasional, pengurangan biaya, dan keandalan. Analisis komparatif menegaskan keunggulan Unit Commitment berbasis Firefly Algorithm dalam mengatasi tantangan unik pulau itu. Dari hasil tersebut, pendekatan ini menawarkan metode inovatif untuk penjadwalan ulang generator terdistribusi Pulau Sangihe, yang telah meningkatkan efisiensi biaya sebesar Rp. 15.175.663,- per hari.
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Optimization problem in remote areas had been a problem that could not be fully fixed and adjusted the field. This research focuses on optimizing distributed generator rescheduling in Sangihe Island, a remote region with power generation and distribution challenges. The primary aim is to enhance efficiency, reliability, and cost-effectiveness. This research proposes integrating the Unit Commitment (UC) problem with the Firefly Algorithm (FA). Sangihe Island's power system comprises diverse generators, including renewables (photovoltaic) and diesel. To tackle dynamic conditions, we meticulously formulate the UC problem, addressing on/off states and power outputs while considering economic and technical constraints. We use the Firefly Algorithm, renowned for its ability to handle complex problems efficiently. Real-world data validation demonstrates substantial improvements in operational efficiency, cost reduction, and reliability. Comparative analysis confirms the Firefly Algorithm-based Unit Commitment's superiority in addressing the island's unique challenges. From the result, the approach offers an innovative method for Sangihe Island's distributed generator rescheduling, had increased the cost efficiency by IDR. 15.175.663 per day.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	distributed generator, power scheduling, unit commitment, firefly algorithm, generator distribusi, penjadwalan pembangkit, photovoltaic
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1056 Solar power plants. Ocean thermal power plants
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20101-(S2) Master Thesis
Depositing User:	Darabean Aitana
Date Deposited:	31 Jan 2024 05:39
Last Modified:	31 Jan 2024 05:39
URI:	http://repository.its.ac.id/id/eprint/105819

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