Khalief, Andra Cahaya (2023) Dynamic Optimal Power Flow Berbasis Integrasi Pembangkitan dan Beban dengan Mempertimbangkan Demand Response sebagai Upaya Optimalisasi Sistem Kelistrikan. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Konsumsi listrik oleh masyarakat luas tentu membutuhkan suplai listrik yang cukup dari pembangkitan. Permasalahan tersebut dapat dimodelkan dengan menjalankan Dynamic Optimal Power Flow menggunakan software MATLAB. Dari penelitian tugas akhir ini penulis menggunakan DC-OPF untuk analisis program. Simulasi yang dilakukan adalah OPF dalam rentang satu jam, DOPF dengan pembangkitan menggunakan generator secara keseluruhan, menggunakan PV saat musim kemarau, serta menggunakan PV saat musim penghujan. Dari masing masing simulasi, didapatkan data biaya pembangkitan. Dari biaya-biaya tersebut didapatkan pembangkitan generator pada biaya terendah saat menggunakan PV di musim kemarau. Kemudian dilanjutkan dengan konsep demand response yaitu pemberian insentif kepada pelanggan yang menggunakan beban di bawah nilai estimasi. Konsep demand response menggunakan Line Outage Distribution Factor (LODF). Basis dari LODF ini adalah menjalankan analisa aliran daya saluran. LODF ini akan bekerja memotong jumlah aliran daya pada saluran yang mengalami overload dengan melakukan load curtailment. Dari simulasi pemotongan beban ini, akan didapatkan daya maksimum yang dapat diturunkan saat beban puncak yaitu antara pukul 17.00 hingga 23.00. Selain itu juga didapatkan biaya insentif maksimum yang harus diberikan kepada pelanggan yang menggunakan listrik di bawah baseline.
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Electricity consumption by the general public certainly requires an adequate supply of electricity from generators. These problems can be modeled by running Dynamic Optimal Power Flow using MATLAB software. From this research the author uses DC-OPF for program analysis. The simulations carried out are OPF within one hour, DOPF with generation using the generator as a whole, using PV during the dry season, and using PV during the rainy season. From each simulation, generated cost data is obtained. From these costs, it is possible to generate generators at the lowest cost when using PV in the dry season. Then proceed with the concept of demand response, namely providing incentives to customers who use loads below the estimated value. The demand response concept uses the Line Outage Distribution Factor (LODF). The basis of the LODF is to perform a channel power flow analysis. This LODF will work to cut the amount of power flow on overloaded channels by carrying out load curtailments. From this load cutting simulation, the maximum power that can be lowered during peak loads will be obtained, which is between 17.00 and 23.00. In addition, the maximum incentive costs that must be given to customers who use electricity below the baseline are also obtained.
| Item Type: | Thesis (Other) |
|---|---|
| Additional Information: | RSE 621.319 1 Kha d-1 2023 |
| Uncontrolled Keywords: | Demand Response, Dynamic Optimal Power Flow, Kontingensi, Line Outage Distribution Factor, Load Curtailment, Contingency, Line Outage Distribution Factor |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK201 Electric Power Transmission 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: | ANDRA CAHAYA KHALIEF |
| Date Deposited: | 26 Jul 2023 02:33 |
| Last Modified: | 05 Oct 2023 06:03 |
| URI: | http://repository.its.ac.id/id/eprint/99383 |
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