Penentuan Lokasi dan Kapasitas Distributed Generation (DG) Optimal pada Sistem Distribusi Radial Aktif Menggunakan Metode Multi-Objective Particle Swarm Optimization (MOPSO) Berbasis Decision Support System (DSS)

Wicaksana, Fericko Satya (2018) Penentuan Lokasi dan Kapasitas Distributed Generation (DG) Optimal pada Sistem Distribusi Radial Aktif Menggunakan Metode Multi-Objective Particle Swarm Optimization (MOPSO) Berbasis Decision Support System (DSS). Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Kebutuhan listrik dunia saat ini semakin meningkat, Hal ini dipengaruhi oleh meningkatnya populasi manusia, proses urbanisasi, dan perkembangan yang luas di sektor industri. Dengan meningkatnya kebutuhan listrik berakibat pada meningkatnya rugi-rugi daya, susut tegangan (drop tegangan) dan menurunkan kapabilitas dari jaringan distribusi. Solusi untuk permasalahan ini dapat diatasi dengan salah satunya dengan memasangan Distributed Generation (DG). Dengan pemasangan Distributed Generation (DG) pada sistem distribusi radial aktif dapat mengurangi rugi-rugi daya pada saluran, mengurangi susut tegangan (drop tegangan) dan meningkatkan kapabilitas jaringan sistem distribusi. Oleh karena itu, pada tugas akhir ini akan direncanakan dan disimulasikan peletakan lokasi dan penentuan kapasitas Distributed Generation (DG) yang optimal dengan menggunakan metode Multi-Objective Particle Swarm Optimization (MOPSO) dengan mempertimbangkan rugi-rugi daya listrik dan deviasi tegangan berbasis aplikasi Decision Support System (DSS). Dengan dilakukan penempatan single DG hingga multi DG maka didapatkan hasil, pada Sistem IEEE 33 Bus dengan nilai rugi-rugi daya awal adalah 202.7 KW menjadi 12.153 KW dengan pemasangan 3 DG dan paada sistem Penyulang Basuki Rahmat nilai Rugi-rugi daya awal adalah 25.38 kW menjadi 0.819 KW dengan pemasangan 2 DG. =========== The current world’s electricity demand is increasing, it is influenced by the increasing of human population, the process of urbanization, and the wide development in industrial sector. With the increasing demand for electricity resulting in increased loss of power, voltage loss (voltage drop) and lower capability of the distribution network. The solution to this problem can be solved by installing Distributed Generation (DG). With the installation of Distributed Generation (DG) on the active radial distribution system can reduce the power losses on the channel, reduce the voltage loss (voltage drop) and increase network distribution system capabilities. Therefore, in this final project will be planned and simulated the optimal placement location and sizing of Distributed Generation (DG) by using Multi-Objective Particle Swarm Optimization (MOPSO) method with considering the loss of electric power and voltage deviation, based on application of Decision Support System (DSS). With the placement of single DG to multi DG then the results obtained, on IEEE 33 Bus System with initial power loss value is 202.7 KW reduce to be 12.153 KW with installation of 3 DG and on Basuki Rahmat system initial power loss is 25.38 kW reduce to be 0.819 KW with 2 DG installation.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Decision Support System (DSS), Distributed Generation (DG), Multi-Objective Particle Swarm Optimization (MOPSO)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK201 Electric Power Transmission
T Technology > T Technology (General) > T58.62 Decision support systems
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001 Production of electric energy or power
Divisions: Faculty of Electrical Technology > Electrical Engineering > (S1) Undergraduate Theses
Depositing User: Wicaksana Fericko Satya
Date Deposited: 13 Aug 2018 05:55
Last Modified: 13 Aug 2018 05:55
URI: http://repository.its.ac.id/id/eprint/52292

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