ADAM, ALVIN (2023) ANALISIS KESTABILAN TEGANGAN MENGGUNAKAN METODE JARINGAN SARAF TIRUAN PADA SISTEM DISTRIBUSI 20 KV. S1 thesis, UNIVERSITAS SULTAN AGENG TIRTAYASA.
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Abstract
The stability of power system is one of the high-voltage issues that must be considered in the transmission and distribution system. System instability is a problem that must be handled optimally and efficiently. One method to overcome instability is through load shedding. This study utilizes an artificial neural network to obtain load-shedding values as a method to overcome voltage instability. Several experiments were carried out to obtain the results of the neural network architecture with the input of total generating power, total load power, and several parameters of frequency rate changes. The results of network training give an MSE error value of 7.8954e-6 and network performance testing gives an MSE of 8.2928e-6. The results of the comparison of load shedding with artificial neural network method with largest difference load shedding value is 0.084 MW, and it can be concluded that the results of load shedding with artificial neural networks can restore the system voltage to stability
| Item Type: | Thesis (S1) | ||||||
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| Additional Information: | Kestabilan sistem tenaga listrik merupakan hal yang harus diperhatikan dalam sistem transmisi dan distribusi. Ketidakstabilan sistem menjadi satu masalah yang harus diatasi dengan optimal dan efisien. Salah satu cara untuk mengatasi ketidakstabilan adalah dengan cara pelepasan beban. Penelitian ini memanfaatkan jaringan saraf tiruan untuk mendapatkan nilai pelepasan beban sebagai metode untuk mengatasi ketidakstabilan tegangan. Dilakukan beberapa percobaan untuk mendapatkan hasil arsitektur jaringan saraf tiruan dengan input total daya pembangkit, total daya beban dan bebebrapa parameter perubahan laju frekuensi. Hasil pelatihan jaringan mendapatkan nilai error MSE 7,8954e-6 dan performa pengujian jaringan dengan MSE 8,2928e¬-6. Didapatkan hasil perbandingan pelepasan beban jaringan saraf tiruan dengan selisih nilai pelepasan paling besar 0,084 MW. Dapat dikatakan hasil pelepasan beban dengan jaringan saraf tiruan dapat mengembalikan tegangan sistem kembali stabil. | ||||||
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | ||||||
| Divisions: | 03-Fakultas Teknik 03-Fakultas Teknik > 20201-Jurusan Teknik Elektro |
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| Depositing User: | Alvin Adam | ||||||
| Date Deposited: | 23 Feb 2023 09:48 | ||||||
| Last Modified: | 23 Feb 2023 09:48 | ||||||
| URI: | http://eprints.untirta.ac.id/id/eprint/21851 |
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