Event-Driven Load Shedding Pada Jaringan Distribusi Tiga Fasa PT. PLN APJ Surabaya Utara Menggunakan Indeks Ranking Tegangan Urutan Positif

Khasanah, Aat (2015) Event-Driven Load Shedding Pada Jaringan Distribusi Tiga Fasa PT. PLN APJ Surabaya Utara Menggunakan Indeks Ranking Tegangan Urutan Positif. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Sebanyak 9.539.526 konsumen listrik di Jawa Timur masih cenderung mengalami peningkatan jumlah dari tahun ke tahun. Peraturan baru tentang pencabutan tarif dasar listrik pada Januari 2015 tidak menurunkan jumlah pelanggan. PT. PLN dituntut untuk tetap menyediakan listrik yang berkualitas, handal dan murah. PT. PLN harus terus berinovasi, memperbaiki dan menjaga system distribusi agar berjalan dengan baik. Overload sewaktu-waktu bisa terjadi dengan jumlah pelanggan yang telah mencapai 9.539.526 di Jawa Timur. Pelepasan beban adalah salah satu cara menjaga kestabilan sistem kelistrikan dan menjaga standart tegangan tetap pada batasnya untuk menjaga mutu listrik itu sendiri sebagai produk utama dari PT.PLN . Oleh karena itu, kami mengusulkan pada penelitian ini sebuah system pelepasan beban berbasis event-driven yang menggunakan analisa aliran daya metode network topology dan logika fuzzy. Logika fuzzy mempertimbangkan dua faktor yaitu nilai tegangan dan nilai positive sequence voltage ranking index. Nilai positive sequence voltage ranking index menunjukkan bus terlemah. Semakin kecil nilai positive sequence voltage ranking index maka semakin lemah juga bus tersebut. Proses defuzzifikasi pada nilai tegangan dan nilai voltage ranking index mampu menghitung nilai spesifik beban yang harus dilepas. Hasil dari pengujian sistem event-driven load shedding menunjukkan bahwa saran yang dihasilkan untuk melepas suatu bus tidak hanya berdasarkan nilai tegangannya saja, namun dengan memperhatikan nilai voltage ranking index untuk indikator bus terlemah. Sistem pelepasan beban berbasis event-driven membantu menentukan bus yang harus dilepas dan jumlah beban spesifik yang harus dilepas, sehingga proses pelepasan beban menjadi lebih cepat. ================================================================================================================== A total of 9,539,526 Electric consumer in East Java still tends to increase From Year to year. The new regulations state about revocation electricity rates on January 2015 will not decrease a number of customer. Improved customer is comparable with improved of economic level and the need for electricity continues to grow. PT. PLN must make sure that provide a qualified electrical, reliable and cheap. PT. PLN must keep innovating, improving and maintaining distribution system to keep the system running properly. Overload could happen anytime with customers who have reached 9,539,526 in East Java. Load shedding is the one of solution to keep the stability of electrical system and keep the limit voltage standard for keeping power quality as a main product of PLN itself. Therefore we propose in this research an event-driven load shedding by using network-topology method of load flow and fuzzy logic. The fuzzy logic use two variable from load flow analysis, there are voltage magnitude and index value from positive sequence voltage ranking index. Value of positive sequence voltage ranking index showed the weakest bus. Smaller value of voltage ranking index, weaker of bus. Defuzzifycation process on voltage magnitude and ranking index can calculate a specific value of load must be shed. The result of testing this system show that load shedding is not based on the voltage magnitude only, but also using voltage ranking index as indicator of sensitivity of bus. Event driven load shedding can give the information about the bust must be shed and the specific value of load must be shed quickly.

Item Type: Thesis (Undergraduate)
Additional Information: RSE 621.319 Kha e
Uncontrolled Keywords: Event-driven load shedding, Network-toplogy load flow, Logika fuzzy, Positive sequence voltage ranking index
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK201 Electric Power Transmission
Divisions: Faculty of Industrial Technology > Electrical Engineering > (S1) Undergraduate Theses
Depositing User: Mrs Ansi Aflacha
Date Deposited: 30 May 2017 06:24
Last Modified: 30 May 2017 06:24
URI: http://repository.its.ac.id/id/eprint/41432

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