Sistem Pemantauan Dan Manajemen Daya Microgrid Cerdas Dengan Kemampuan Perbaikan Mandiri

Dintika, Arief Fajariandi (2024) Sistem Pemantauan Dan Manajemen Daya Microgrid Cerdas Dengan Kemampuan Perbaikan Mandiri. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Penelitian ini membahas sebuah sistem pemantauan dan manajemen daya pada smart microgrid dengan kemampuan perbaikan mandiri. Microgrid di PT. MHU (Multi Harapan Utama) site LKCT (Loa Kulu Coal Terminal) telah mengalami perkembangan dari penggunaan genset (generator set) dan listrik PLN (Perusahaan Listrik Negara) ke integrasi PLTS (Pembangkit Listrik Tenaga Surya) on-grid. Meskipun memberikan manfaat signifikan, terdapat keterbatasan dalam pemantauan dan kendali sistem. Penelitian ini bertujuan untuk menciptakan smart microgrid yang efektif, efisien, dan andal dengan sistem online monitoring and control, power management, dan kemampuan self-healing.
Sistem online monitoring and control dirancang secara efektif dan real-time untuk memantau dan mengendalikan microgrid, guna mempermudah dalam mendeteksi dan menganalisis potensi gangguan pada jaringan. Kemudian sistem power management diperlukan untuk meningkatkan efisiensi dan keandalan dengan mengoptimalkan distribusi daya. Penelitian ini juga mengintegrasikan kemampuan self-healing pada smart microgrid, memungkinkan deteksi, pencegahan, isolasi, dan pemulihan otomatis dari gangguan pada jaringan.
Dengan menggunakan perangkat lunak Siemens TIA (Totally Integrated Automation) Portal untuk simulasi, penelitian ini menyajikan perbandingan hasil antara sistem konvensional, sistem online monitoring and control, system power management dan sistem kemampuan self-healing. Hasilnya diharapkan memberikan panduan bagi perusahaan dalam meningkatkan efisiensi, keandalan, dan keberlanjutan sistem ketenagalistrikan mereka.
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This research presents a self-healing smart microgrid monitoring and power management system. At PT MHU (Multi Harapan Utama) LKCT (Loa Kulu Coal Terminal) site, solar power plants have been integrated into the microgrid, which previously relied on generator sets and PLN (Perusahaan Listrik Negara) electricity. Despite these benefits, the system’s monitoring and control are limited. This study develops a robust and intelligent microgrid that incorporates real-time monitoring, control, power management, and self-restoring capabilities.
The microgrid's real-time monitoring and control system is efficiently designed to detect and analyze network disturbances. A power management system is necessary to enhance efficiency and dependability through optimal power distribution. This study incorporates self-healing features into smart microgrids to realize autonomous detection, prevention, separation, and restoration of network disruptions.
Through the Siemens TIA (Totally Integrated Automation) Portal, the study compared the simulation results of a conventional system and an online monitoring and control system with power management to an online monitoring and control system with power management and self-healing features. The results will guide companies in enhancing their electricity systems’ efficiency, reliability, and sustainability.

Item Type:	Thesis (Masters)
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1007 Electric power systems control
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20101-(S2) Master Thesis
Depositing User:	Arief Fajariandi Dintika
Date Deposited:	06 Aug 2024 04:00
Last Modified:	25 Sep 2024 02:55
URI:	http://repository.its.ac.id/id/eprint/113452

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