Minimizing Power Loss in Distribution Networks by placing Electric Vehicle Charging Stations using Particle Swarm Optimization

Syechu Dwitya Nugraha; Mochamad Ashari; Dedet Candra Riawan

doi:10.1109/IES59143.2023.10242490

Minimizing Power Loss in Distribution Networks by placing Electric Vehicle Charging Stations using Particle Swarm Optimization

Syechu Dwitya Nugraha^*, Mochamad Ashari, Dedet Candra Riawan

^*Corresponding author for this work

Institut Teknologi Sepuluh Nopember

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper demonstrates a method for obtaining minimum power loss in a distribution network by determining the location of electric vehicle charging stations (EVCs) using particle swarm optimization (PSO). In this study, the IEEE 33 bus distribution network is used as a reference for the installation of 5 EVCs. The IEEE 33 bus network is divided into 5 areas. Each area contains 1 EVCs. Each EVCs has a capacity of 22 cars. Each EVCs has 3 types of chargers, namely 15 chargers at level 1 with a maximum capacity of 105 kW, 5 chargers at level 2 with a maximum capacity of 110 kW, and 2 chargers at level 3 with a maximum capacity of 120 kW. The power loss is obtained through power flow analysis. Power flow analysis was used to compare EVCs placed randomly and when optimally placed with PSO. Based on the simulation results, the optimal installation location for EVCs can reduce the power loss by 0.040 MW.

Original language	English
Title of host publication	IES 2023 - International Electronics Symposium
Subtitle of host publication	Unlocking the Potential of Immersive Technology to Live a Better Life, Proceeding
Editors	Andhik Ampuh Yunanto, Afifah Dwi Ramadhani, Yanuar Risah Prayogi, Putu Agus Mahadi Putra, Maretha Ruswiansari, Mohamad Ridwan, Farida Gamar, Weny Mistarika Rahmawati, Rusli Muhammad Rusli, Fitrah Maharani Humaira, Ahmad Firyal Adila
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	38-43
Number of pages	6
ISBN (Electronic)	9798350314731
DOIs	https://doi.org/10.1109/IES59143.2023.10242490
Publication status	Published - 2023
Event	25th International Electronics Symposium, IES 2023 - Denpasar, Indonesia Duration: 8 Aug 2023 → 10 Aug 2023

Publication series

Name	IES 2023 - International Electronics Symposium: Unlocking the Potential of Immersive Technology to Live a Better Life, Proceeding

Conference

Conference	25th International Electronics Symposium, IES 2023
Country/Territory	Indonesia
City	Denpasar
Period	8/08/23 → 10/08/23

Keywords

electric vehicle charging stations (EVCs)
optimal placement
particle swarm optimization (PSO)
power losses

Access to Document

10.1109/IES59143.2023.10242490

Cite this

Nugraha, S. D., Ashari, M., & Riawan, D. C. (2023). Minimizing Power Loss in Distribution Networks by placing Electric Vehicle Charging Stations using Particle Swarm Optimization. In A. A. Yunanto, A. D. Ramadhani, Y. R. Prayogi, P. A. M. Putra, M. Ruswiansari, M. Ridwan, F. Gamar, W. M. Rahmawati, R. M. Rusli, F. M. Humaira, & A. F. Adila (Eds.), IES 2023 - International Electronics Symposium: Unlocking the Potential of Immersive Technology to Live a Better Life, Proceeding (pp. 38-43). (IES 2023 - International Electronics Symposium: Unlocking the Potential of Immersive Technology to Live a Better Life, Proceeding). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IES59143.2023.10242490

Nugraha, Syechu Dwitya ; Ashari, Mochamad ; Riawan, Dedet Candra. / Minimizing Power Loss in Distribution Networks by placing Electric Vehicle Charging Stations using Particle Swarm Optimization. IES 2023 - International Electronics Symposium: Unlocking the Potential of Immersive Technology to Live a Better Life, Proceeding. editor / Andhik Ampuh Yunanto ; Afifah Dwi Ramadhani ; Yanuar Risah Prayogi ; Putu Agus Mahadi Putra ; Maretha Ruswiansari ; Mohamad Ridwan ; Farida Gamar ; Weny Mistarika Rahmawati ; Rusli Muhammad Rusli ; Fitrah Maharani Humaira ; Ahmad Firyal Adila. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 38-43 (IES 2023 - International Electronics Symposium: Unlocking the Potential of Immersive Technology to Live a Better Life, Proceeding).

@inproceedings{e8d5834953ad47778ca3c2019ef9523e,

title = "Minimizing Power Loss in Distribution Networks by placing Electric Vehicle Charging Stations using Particle Swarm Optimization",

abstract = "This paper demonstrates a method for obtaining minimum power loss in a distribution network by determining the location of electric vehicle charging stations (EVCs) using particle swarm optimization (PSO). In this study, the IEEE 33 bus distribution network is used as a reference for the installation of 5 EVCs. The IEEE 33 bus network is divided into 5 areas. Each area contains 1 EVCs. Each EVCs has a capacity of 22 cars. Each EVCs has 3 types of chargers, namely 15 chargers at level 1 with a maximum capacity of 105 kW, 5 chargers at level 2 with a maximum capacity of 110 kW, and 2 chargers at level 3 with a maximum capacity of 120 kW. The power loss is obtained through power flow analysis. Power flow analysis was used to compare EVCs placed randomly and when optimally placed with PSO. Based on the simulation results, the optimal installation location for EVCs can reduce the power loss by 0.040 MW.",

keywords = "electric vehicle charging stations (EVCs), optimal placement, particle swarm optimization (PSO), power losses",

author = "Nugraha, {Syechu Dwitya} and Mochamad Ashari and Riawan, {Dedet Candra}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 25th International Electronics Symposium, IES 2023 ; Conference date: 08-08-2023 Through 10-08-2023",

year = "2023",

doi = "10.1109/IES59143.2023.10242490",

language = "English",

series = "IES 2023 - International Electronics Symposium: Unlocking the Potential of Immersive Technology to Live a Better Life, Proceeding",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "38--43",

editor = "Yunanto, {Andhik Ampuh} and Ramadhani, {Afifah Dwi} and Prayogi, {Yanuar Risah} and Putra, {Putu Agus Mahadi} and Maretha Ruswiansari and Mohamad Ridwan and Farida Gamar and Rahmawati, {Weny Mistarika} and Rusli, {Rusli Muhammad} and Humaira, {Fitrah Maharani} and Adila, {Ahmad Firyal}",

booktitle = "IES 2023 - International Electronics Symposium",

address = "United States",

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Nugraha, SD, Ashari, M & Riawan, DC 2023, Minimizing Power Loss in Distribution Networks by placing Electric Vehicle Charging Stations using Particle Swarm Optimization. in AA Yunanto, AD Ramadhani, YR Prayogi, PAM Putra, M Ruswiansari, M Ridwan, F Gamar, WM Rahmawati, RM Rusli, FM Humaira & AF Adila (eds), IES 2023 - International Electronics Symposium: Unlocking the Potential of Immersive Technology to Live a Better Life, Proceeding. IES 2023 - International Electronics Symposium: Unlocking the Potential of Immersive Technology to Live a Better Life, Proceeding, Institute of Electrical and Electronics Engineers Inc., pp. 38-43, 25th International Electronics Symposium, IES 2023, Denpasar, Indonesia, 8/08/23. https://doi.org/10.1109/IES59143.2023.10242490

Minimizing Power Loss in Distribution Networks by placing Electric Vehicle Charging Stations using Particle Swarm Optimization. / Nugraha, Syechu Dwitya; Ashari, Mochamad ; Riawan, Dedet Candra.
IES 2023 - International Electronics Symposium: Unlocking the Potential of Immersive Technology to Live a Better Life, Proceeding. ed. / Andhik Ampuh Yunanto; Afifah Dwi Ramadhani; Yanuar Risah Prayogi; Putu Agus Mahadi Putra; Maretha Ruswiansari; Mohamad Ridwan; Farida Gamar; Weny Mistarika Rahmawati; Rusli Muhammad Rusli; Fitrah Maharani Humaira; Ahmad Firyal Adila. Institute of Electrical and Electronics Engineers Inc., 2023. p. 38-43 (IES 2023 - International Electronics Symposium: Unlocking the Potential of Immersive Technology to Live a Better Life, Proceeding).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Minimizing Power Loss in Distribution Networks by placing Electric Vehicle Charging Stations using Particle Swarm Optimization

AU - Nugraha, Syechu Dwitya

AU - Ashari, Mochamad

AU - Riawan, Dedet Candra

PY - 2023

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N2 - This paper demonstrates a method for obtaining minimum power loss in a distribution network by determining the location of electric vehicle charging stations (EVCs) using particle swarm optimization (PSO). In this study, the IEEE 33 bus distribution network is used as a reference for the installation of 5 EVCs. The IEEE 33 bus network is divided into 5 areas. Each area contains 1 EVCs. Each EVCs has a capacity of 22 cars. Each EVCs has 3 types of chargers, namely 15 chargers at level 1 with a maximum capacity of 105 kW, 5 chargers at level 2 with a maximum capacity of 110 kW, and 2 chargers at level 3 with a maximum capacity of 120 kW. The power loss is obtained through power flow analysis. Power flow analysis was used to compare EVCs placed randomly and when optimally placed with PSO. Based on the simulation results, the optimal installation location for EVCs can reduce the power loss by 0.040 MW.

AB - This paper demonstrates a method for obtaining minimum power loss in a distribution network by determining the location of electric vehicle charging stations (EVCs) using particle swarm optimization (PSO). In this study, the IEEE 33 bus distribution network is used as a reference for the installation of 5 EVCs. The IEEE 33 bus network is divided into 5 areas. Each area contains 1 EVCs. Each EVCs has a capacity of 22 cars. Each EVCs has 3 types of chargers, namely 15 chargers at level 1 with a maximum capacity of 105 kW, 5 chargers at level 2 with a maximum capacity of 110 kW, and 2 chargers at level 3 with a maximum capacity of 120 kW. The power loss is obtained through power flow analysis. Power flow analysis was used to compare EVCs placed randomly and when optimally placed with PSO. Based on the simulation results, the optimal installation location for EVCs can reduce the power loss by 0.040 MW.

KW - electric vehicle charging stations (EVCs)

KW - optimal placement

KW - particle swarm optimization (PSO)

KW - power losses

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U2 - 10.1109/IES59143.2023.10242490

DO - 10.1109/IES59143.2023.10242490

M3 - Conference contribution

AN - SCOPUS:85173610295

T3 - IES 2023 - International Electronics Symposium: Unlocking the Potential of Immersive Technology to Live a Better Life, Proceeding

SP - 38

EP - 43

BT - IES 2023 - International Electronics Symposium

A2 - Yunanto, Andhik Ampuh

A2 - Ramadhani, Afifah Dwi

A2 - Prayogi, Yanuar Risah

A2 - Putra, Putu Agus Mahadi

A2 - Ruswiansari, Maretha

A2 - Ridwan, Mohamad

A2 - Gamar, Farida

A2 - Rahmawati, Weny Mistarika

A2 - Rusli, Rusli Muhammad

A2 - Humaira, Fitrah Maharani

A2 - Adila, Ahmad Firyal

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 25th International Electronics Symposium, IES 2023

Y2 - 8 August 2023 through 10 August 2023

ER -

Nugraha SD, Ashari M , Riawan DC. Minimizing Power Loss in Distribution Networks by placing Electric Vehicle Charging Stations using Particle Swarm Optimization. In Yunanto AA, Ramadhani AD, Prayogi YR, Putra PAM, Ruswiansari M, Ridwan M, Gamar F, Rahmawati WM, Rusli RM, Humaira FM, Adila AF, editors, IES 2023 - International Electronics Symposium: Unlocking the Potential of Immersive Technology to Live a Better Life, Proceeding. Institute of Electrical and Electronics Engineers Inc. 2023. p. 38-43. (IES 2023 - International Electronics Symposium: Unlocking the Potential of Immersive Technology to Live a Better Life, Proceeding). doi: 10.1109/IES59143.2023.10242490

Minimizing Power Loss in Distribution Networks by placing Electric Vehicle Charging Stations using Particle Swarm Optimization

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