Studi Kestabilan Steady State Mempertimbangkan Lokasi Penetrasi Energi Terbarukan dengan Metode Flower Pollination Algorithm (FPA) pada Subsistem Sumatera Selatan

Lutfi, Aulia Amjad (2023) Studi Kestabilan Steady State Mempertimbangkan Lokasi Penetrasi Energi Terbarukan dengan Metode Flower Pollination Algorithm (FPA) pada Subsistem Sumatera Selatan. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pulau Sumatera merupakan salah satu pulau terbesar di Indonesia yang memiliki sistem kelistrikan terintegrasi untuk seluruh wilayah di sumatera termasuk Sumatera Selatan. Sistem kelistrikan Sumatera Selatan terintegrasi melalui grid 150 kV dan 70 kV. Seiring dengan perubahan beban tiap tahun, perlu adanya analisis kestabilan steady-state dengan mempertimbangkan lokasi dan kapasitas optimum pembangkit dengan metode Flower Pollination Algorithm (FPA). Sehingga dapat dilihat pengaruh penambahan DG berbasis energi terbarukan pada profil tegangan dan batas transfer daya melalui kurva P-V. Pemasangan DG juga mempertimbangkan voltage sensitivity dimana berdasarkan simulasi, 4 bus yang memiliki sensitivitas tegangan paling besar adalah Sungai Kedukan, Sungai Juaro, Boom Baru, dan Talang Ratu. Berdasarkan profil tegangan sistem, bus yang memiliki tegangan terendah sekaligus undervoltage adalah Sungai Kedukan yaitu 0,939490 p.u. Berdasarkan analisa keamanan batas transfer daya melalui kurva P-V, semua bus pada sistem masih dalam batas aman. Hal itu ditunjukkan dari nilai beban eksisting yang lebih kecil dari titik voltage collapse. Bus yang memiliki batas transfer daya terkecil adalah Sungai Kedukan yaitu 109,551 MW, sehingga Sungai Kedukan ditetapkan sebagai bus kritikal untuk dilakukan pemasangan DG. Optimasi lokasi dan kapasitas DG dilakukan menggunakan metode FPA dengan kondisi masing-masing skenario menggunakan 2 plant DG dan 4 plant DG. Semua skenario dapat memperbaiki profil tegangan, meningkatkan batas transfer daya, dan mengurangi losses pada sistem dengan kondisi paling optimal yaitu menggunakan PLTMinihidro dengan 4 plant yang dapat mengurangi losses sebesar 30,74% setelah pemasangan DG.
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Sumatra Island is one of the largest islands in Indonesia, which has an integrated electricity system for all regions in Sumatra, including South Sumatra. South Sumatra's electricity system is integrated through the 150 kV and 70 kV grids. Along with changes in load every year, it is necessary to have a steady-state stability analysis taking into the location and optimum capacity of the generator using the Flower Pollination Algorithm (FPA) method. So that it can be seen the effect of adding DG based on Renewable Energy on the voltage profile and power transfer limits through the P-V curve. DG installation also considers voltage sensitivity where based on the simulation, 4 buses that have the highest voltage sensitivity are Sungai Kedukan, Sungai Juaro, Boom Baru, and Talang Ratu. Based on the system voltage profile, the bus that has the lowest voltage as well as undervoltage is the Kedukan River, namely 0.939490 p.u. Based on the safety analysis of power transfer limits through the P-V curve, all buses in the system are still within safe limits. This is shown from the value of the eksisting load which is smaller than the voltage collapse point. The bus that has the smallest power transfer limit is the Kedukan River which is 109.551 MW so that the Kedukan River is designated as a critical bus for DG installation. DG location and capacity optimization was carried out using the FPA method with the conditions of each scenario using 2 DG plants and 4 DG plants. All scenarios can improve the voltage profile, increase the power transfer limit, and reduce losses in the system with the most optimal conditions, namely using a mini hydro power plant with 4 plants which can reduce losses by 30.74% after installing DG.

Item Type: Thesis (Other)
Uncontrolled Keywords: Kestabilan Steady-state, Flower Pollination Algorithm, kurva P-V, Voltage Sensitivity, Distributed Generation. Steady-state Stability, Flower Pollination Algorithm, P-V Curve, Voltage Sensitivity, Distributed Generation.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK201 Electric Power Transmission
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1010 Electric power system stability. Electric filters, Passive.
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1056 Solar powerplants
Divisions: Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User: Aulia Amjad Lutfi
Date Deposited: 25 Jul 2023 03:09
Last Modified: 25 Jul 2023 03:09
URI: http://repository.its.ac.id/id/eprint/99203

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