Zahra, Shafira (2019) Manajemen Energi Skala Industri Pada Smart Grid Dengan Multi Electricity Providers Menggunakan Mixed Integer Linear Programming (MILP). Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Pada tugas akhir kali ini akan disediakan lebih dari satu penyedia layanan listrik (electricity provider) dalam smart grid Industry power energy management untuk mensimulasikan sistem unbundling. Industry power energy management ini berfungsi untuk mengoptimalkan konsumsi energi listrik sehingga meminimalkan biaya tagihan listrik pada industri. Sistem grid Industry power energy management ini terdiri sumber energi listrik (Grid and photovoltaic system dengan energy storage). Permasalahan terbesar dari renewable energi adalah sifatnya yang intermittent sehingga diperlukan teknologi energy storage dan manajemen energi. Pada grid Industry power energy management ini akan digunakan metode Mixed integer linear programming untuk melakukan penjadwalan supply grid dan energy storage sehingga mengkonsumsi energi listrik paling efisien dan biaya minimum. Solusi dari tugas akhir ini menyediakan rekomendasi provider dengan biaya tagihan paling murah. Hasil simulasi telah menunjukkan bahwa EMS yang diusulkan dapat mengurangi biaya listrik hingga 63.19%.
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In this final project there will be more than one electricity provider in a smart grid. Industry power energy management to simulate unbundling system. Industry power energy management serves to optimize electricity consumption to minimize the cost of electricity cost in a industry. The Industry power energy management grid system consists of electrical energy sources (Grid and photovoltaic systems with energy storage). The biggest problem in renewable energy is its intermittent, so energy storage and energy management technologies are needed to solve intermittent problem. In the Industry power energy management grid, Mixed integer linear programming method will be used to schedule the supply either grid or energy storage so that it consumes the most efficient electricity and minimum costs. The solution of this final project is to provide, provider
recommendations with the cheapest bill costs. Simulation results have shown that the proposed EMS can reduce electricity costs by 10%.
| Item Type: | Thesis (Other) |
|---|---|
| Additional Information: | RSE 621.31 Zah m-1 2019 |
| Uncontrolled Keywords: | Industry Management System, Smart Grid, Mixed Integer Linear Programming (MILP) |
| Subjects: | T Technology > T Technology (General) T Technology > T Technology (General) > T56.8 Project Management T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1007 Electric power systems control |
| Divisions: | Faculty of Industrial Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis |
| Depositing User: | ZAHRA SHAFIRA |
| Date Deposited: | 02 Jan 2023 08:47 |
| Last Modified: | 02 Jan 2023 08:47 |
| URI: | http://repository.its.ac.id/id/eprint/63426 |
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