Setting Rele Arus Lebih Adaptif Pada Sistem Distribusi Mesh Dengan Pembangkit Tersebar Berbasis Learning Vector Quantization Neural Network

Husein, Dinan Ibnu (2016) Setting Rele Arus Lebih Adaptif Pada Sistem Distribusi Mesh Dengan Pembangkit Tersebar Berbasis Learning Vector Quantization Neural Network. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Sistem distribusi di era ini sudah akan berpindah ke sistem smart grids. Apalagi dengan berkembangnya sistem distribusi menggunakan pembangkit tersebar. Dimana pada kondisi ini sistem disupply oleh distributed generation dan grid terpisah. Namun demikian, sistem ini masih memiliki banyak kekurangan dalam hal setting koordinasi proteksinya. Oleh sebab itu pada tugas akhir ini diusulkan menggunakan metode pengaman arus lebih yang adaptif, yang memanfaatkan LVQ (Learning Vector Quantization) neural network untuk mengatasi kendala tersebut di sistem distribusi mesh. Hasil simulasi akan ditunjukan melalui aplikasi ETAP 12.6 dan nilai pengolahan data akan diperoleh dari aplikasi MATLAB. Dari hasil analisis akan menunjukan bahwa kondisi pengoprasian dapat diidentifikasi dengan tepat. Serta hasil pengolahan data akan mengklasifikasikan pengaturan waktu koordinasi proteksi pada sistem dengan tepat sesuai dengan kondisi dan letak gangguan. Dalam tugas akhir ini akan dibahas penentuan kondisi dan setting rele secara manual, pembangunan arsitektur jaringan syaraf tiruan LVQ, dan penghitungan akurasi serta batas toleransi pemodelan LVQ. ======================================================================================================================== The distribution system in this era will move to a smart grids system. Moreover, with the development of distribution systems using distributed generation. Where in these conditions supplied by distributed generation system and a separate grid. However, this system still has many shortcomings in terms of coordination of protection settings. Therefore in this final project proposed using adaptive over current relay, which utilizes LVQ (Learning Vector Quantization) neural network to overcome these obstacles in the distribution system mesh. The simulation results will be shown through the application of ETAP 12.6 and the value of the data processing will be obtained from MATLAB applications. From the results of the analysis will show that the operator of the condition can be properly identified. As well as the data processing will classify timing coordination with the appropriate protection to systems in accordance with the conditions and location of the disturbance.

Item Type: Thesis (Undergraduate)
Additional Information: RSE 621.319 Hus s
Uncontrolled Keywords: Adaptive Relay, Mesh Distribution System, Learning Vector Quantization Neural Network
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2861 Electric relays
Divisions: Faculty of Industrial Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User: ansi aflacha
Date Deposited: 15 Jan 2020 07:23
Last Modified: 15 Jan 2020 07:23
URI: http://repository.its.ac.id/id/eprint/72688

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