Analisis Hosting Capacity Kendaraan Listrik Pada Jaringan Distribusi 20 kV Berbasis Optimal Power Flow

Hidayat, M Wahyu Kurnianto (2025) Analisis Hosting Capacity Kendaraan Listrik Pada Jaringan Distribusi 20 kV Berbasis Optimal Power Flow. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Peningkatan jumlah kendaraan listrik menimbulkan tantangan baru terhadap sistem distribusi tenaga listrik, khususnya dalam hal kemampuan jaringan untuk menyuplai daya tambahan tanpa mengganggu kestabilan tegangan dan batasan teknis lainnya. Penelitian ini bertujuan untuk menganalisis hosting capacity kendaraan listrik pada jaringan distribusi 20 kV dengan menggunakan metode Optimal power flow (OPF) berbasis model AC. Simulasi dilakukan menggunakan matlab dan toolbox matpower dengan memasukkan beban EV sebagai generator negatif di setiap bus yang dimungkinkan. Dua sistem distribusi digunakan sebagai studi kasus, yaitu sistem IEEE 33 bus dan tipikal sistem distribusi Kota Surabaya. Pada masing-masing sistem dilakukan lima skenario penempatan EV diuji dengan variasi lokasi mulai dari konsentrasi dekat substation hingga penyebaran merata ke seluruh jaringan. Pada sistem IEEE 33 bus, penempatan EV yang tersebar di seluruh bus menghasilkan hosting capacity tertinggi sebesar 4778 unit, sedangkan penempatan di ujung jaringan menurunkan kapasitas hingga hanya 683 unit. Sementara itu, tipikal sistem distribusi Kota Surabaya yang memiliki struktur jaringan lebih kompleks dan beban lebih merata, penempatan EV yang terkonsentrasi di area 1 menghasilkan hosting capacity tertinggi sebesar 7911 unit, sedangkan penempatan di ujung jaringan menurunkan kapasitas hingga hanya 6916 unit. Kesimpulan dari penelitian ini menunjukkan bahwa penempatan EV yang strategis serta karakteristik sistem distribusi sangat menentukan keberhasilan integrasi kendaraan listrik. Sistem dengan konfigurasi kuat dan losses rendah cenderung lebih adaptif terhadap penetrasi EV dalam jumlah besar.
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The increasing number of electric vehicles (EVs) presents new challenges to power distribution systems, particularly in terms of the network's ability to supply additional power without violating voltage stability or other technical constraints. This study aims to analyze the EV hosting capacity in a 20 kV distribution network using the Optimal power flow (OPF) method based on the AC power flow model. Simulations were conducted using matlab and the matpower toolbox, where EV loads were modeled as negative generators at all feasible buses. Two distribution systems were used as case studies: the IEEE 33 bus system and a typical distribution system representing the city of Surabaya. For each system, five EV placement scenarios were tested, ranging from concentrated placement near the substation to uniformly distributed placement across the entire network. In the IEEE 33 bus system, dispersing EVs EVenly across all buses yielded the highest hosting capacity 4778 vehicles whereas locating them at the network’s extremities reduced capacity to only 683 vehicles. In the Surabaya distribution network, which features a more complex topology and more EVenly distributed loads, concentrating EVs in area 1 achiEVed the highest capacity of 7,911 vehicles, while placing them at the network’s edges lowered capacity to 6916 vehicles. The findings of this study indicate that both strategic EV placement and the physical characteristics of the distribution system play crucial roles in the successful integration of EVs. Distribution systems with strong configurations and low losses tend to be more adaptive to large-scale EV penetration.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Hosting capacity, Jaringan Distribusi, Kendaraan Listrik, Kualitas Daya, Optimal Power Flow, Distribution Grid, Electric Vehicle, Power Quality
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK3030 Electric power distribution systems
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User:	M. Wahyu Kurnianto Hidayat
Date Deposited:	23 Jul 2025 03:04
Last Modified:	23 Jul 2025 03:04
URI:	http://repository.its.ac.id/id/eprint/120771

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