Multi-Objective Approach for Optimal Sizing and Placement of EVCS in Distribution Networks With Distributed Rooftop PV in Metropolitan City

The optimal sizing and location of electric vehicle charging station (EVCS) integrated with distributed generation (DG) in the distribution network are the subject of this study. In modern electric power systems, the integration of EVCS and DG must be carefully planned. Inappropriate sizing and loca...

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Veröffentlicht in:IEEE access Jg. 13; S. 40883 - 40898
Hauptverfasser: Nugraha, Syechu Dwitya, Ashari, Mochamad, Riawan, Dedet Candra
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Piscataway IEEE 2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Costs
Distributed generation
Distribution networks
Electric power systems
Electric vehicle charging
Electric vehicles
EVCS
Genetic algorithms
hybrid genetic algorithm-modified salp swarm algorithm (HGAMSSA)
Linear programming
multi-objective optimization
Multiple objective analysis
optimal placement
optimal sizing
Optimization
Optimization methods
Photovoltaic cells
Photovoltaic systems
Placement
Power system stability
Sizing
Urban areas
Vehicle-to-grid
Voltage
ISSN:2169-3536, 2169-3536
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Abstract The optimal sizing and location of electric vehicle charging station (EVCS) integrated with distributed generation (DG) in the distribution network are the subject of this study. In modern electric power systems, the integration of EVCS and DG must be carefully planned. Inappropriate sizing and location of EVCS can cause network overload, increase power losses, and allow for voltage variations outside the standard. This study adopts a reference distribution network that is representative of a typical business distribution network in a metropolitan city in Indonesia. To resolve the issue of determining the size and location of EVCS, the hybrid genetic algorithm-modified salp swarm algorithm (HGAMSSA) optimization method with multi-objective function is implemented. There are three scenarios used when determining the size and placement of EVCS. In the first scenario, the EVCS comprises chargers at levels 1, 2, and 3, with DG integration. In the second scenario, EVCS is comprised of level 2 and level 3, with DG integration. While in the third scenario, EVCS only consists of level 3 chargers with DG integration. The simulation results indicate that network utilization can be optimized at 79.00%, 75.53%, and 76.37% when electric cars (EV) operate in grid to vehicle (G2V) mode, compared to a base load of 29.46%. In vehicle to grid (V2G) mode, the energy supplied by the electric vehicle (EV) via the EVCS is 0.91 MWh. Additionally, the distribution network receives 10.036 MWh of electricity from rooftop photovoltaic (PV).
AbstractList The optimal sizing and location of electric vehicle charging station (EVCS) integrated with distributed generation (DG) in the distribution network are the subject of this study. In modern electric power systems, the integration of EVCS and DG must be carefully planned. Inappropriate sizing and location of EVCS can cause network overload, increase power losses, and allow for voltage variations outside the standard. This study adopts a reference distribution network that is representative of a typical business distribution network in a metropolitan city in Indonesia. To resolve the issue of determining the size and location of EVCS, the hybrid genetic algorithm-modified salp swarm algorithm (HGAMSSA) optimization method with multi-objective function is implemented. There are three scenarios used when determining the size and placement of EVCS. In the first scenario, the EVCS comprises chargers at levels 1, 2, and 3, with DG integration. In the second scenario, EVCS is comprised of level 2 and level 3, with DG integration. While in the third scenario, EVCS only consists of level 3 chargers with DG integration. The simulation results indicate that network utilization can be optimized at 79.00%, 75.53%, and 76.37% when electric cars (EV) operate in grid to vehicle (G2V) mode, compared to a base load of 29.46%. In vehicle to grid (V2G) mode, the energy supplied by the electric vehicle (EV) via the EVCS is 0.91 MWh. Additionally, the distribution network receives 10.036 MWh of electricity from rooftop photovoltaic (PV).
Author Riawan, Dedet Candra
Ashari, Mochamad
Nugraha, Syechu Dwitya
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Cites_doi 10.3390/su122310160
10.1109/ACCESS.2024.3470652
10.23919/IEN.2024.0021
10.1109/ACCESS.2020.2984127
10.1109/TITS.2021.3085103
10.1109/TITS.2024.3384537
10.23919/PSCC.2018.8442988
10.1016/j.atmosenv.2020.117752
10.3390/su11205635
10.1109/ACCESS.2024.3466969
10.1109/ACCESS.2020.3033662
10.1109/IES59143.2023.10242490
10.1109/TSTE.2013.2273314
10.1109/MELE.2018.2871278
10.1016/j.jclepro.2019.117932
10.1109/ACCESS.2015.2476996
10.3390/en15010027
10.1109/TTE.2023.3275080
10.3390/en11010178
10.3390/en15218218
10.1109/ACCESS.2019.2958664
10.1016/j.jestch.2018.01.005
10.1109/ACCESS.2022.3204311
10.1109/ACCESS.2024.3458982
10.1016/j.rser.2016.06.033
10.1109/TII.2018.2829710
10.1016/j.est.2021.102939
10.1109/TITS.2023.3334470
10.1109/ACCESS.2019.2891699
10.1002/2050-7038.12366
10.48084/etasr.3517
10.1109/ACCESS.2021.3112847
10.1109/ACCESS.2020.2984537
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References ref13
ref35
ref12
ref34
ref15
ref14
ref36
ref31
ref30
ref11
ref33
ref10
ref2
ref1
ref17
ref16
ref19
ref18
Atlas (ref32) 2024
ref24
ref23
Government (ref8) 2022
ref26
ref25
ref20
ref22
ref21
ref28
ref27
ref29
Government (ref7) 2019
ref9
ref4
ref3
ref6
ref5
References_xml – ident: ref3
  doi: 10.3390/su122310160
– ident: ref33
  doi: 10.1109/ACCESS.2024.3470652
– ident: ref28
  doi: 10.23919/IEN.2024.0021
– volume-title: Solar Energy Measurement in Surabaya Indonesia
  year: 2024
  ident: ref32
– ident: ref23
  doi: 10.1109/ACCESS.2020.2984127
– ident: ref19
  doi: 10.1109/TITS.2021.3085103
– ident: ref26
  doi: 10.1109/TITS.2024.3384537
– ident: ref4
  doi: 10.23919/PSCC.2018.8442988
– volume-title: Percepatan Pengembangan Energi Terbarukan untuk Penyediaan Tenaga Listrik
  year: 2022
  ident: ref8
– ident: ref2
  doi: 10.1016/j.atmosenv.2020.117752
– ident: ref9
  doi: 10.3390/su11205635
– ident: ref24
  doi: 10.1109/ACCESS.2024.3466969
– ident: ref31
  doi: 10.1109/ACCESS.2020.3033662
– ident: ref6
  doi: 10.1109/IES59143.2023.10242490
– ident: ref13
  doi: 10.1109/TSTE.2013.2273314
– ident: ref5
  doi: 10.1109/MELE.2018.2871278
– ident: ref14
  doi: 10.1016/j.jclepro.2019.117932
– ident: ref16
  doi: 10.1109/ACCESS.2015.2476996
– ident: ref29
  doi: 10.3390/en15010027
– ident: ref27
  doi: 10.1109/TTE.2023.3275080
– ident: ref10
  doi: 10.3390/en11010178
– ident: ref12
  doi: 10.3390/en15218218
– ident: ref36
  doi: 10.1109/ACCESS.2019.2958664
– volume-title: Peraturan Presiden Republik Indonesia, No 55 Tahun 2019
  year: 2019
  ident: ref7
– ident: ref11
  doi: 10.1016/j.jestch.2018.01.005
– ident: ref17
  doi: 10.1109/ACCESS.2022.3204311
– ident: ref18
  doi: 10.1109/ACCESS.2024.3458982
– ident: ref30
  doi: 10.1016/j.rser.2016.06.033
– ident: ref35
  doi: 10.1109/TII.2018.2829710
– ident: ref21
  doi: 10.1016/j.est.2021.102939
– ident: ref25
  doi: 10.1109/TITS.2023.3334470
– ident: ref15
  doi: 10.1109/ACCESS.2019.2891699
– ident: ref20
  doi: 10.1002/2050-7038.12366
– ident: ref22
  doi: 10.48084/etasr.3517
– ident: ref1
  doi: 10.1109/ACCESS.2021.3112847
– ident: ref34
  doi: 10.1109/ACCESS.2020.2984537
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Snippet The optimal sizing and location of electric vehicle charging station (EVCS) integrated with distributed generation (DG) in the distribution network are the...
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StartPage 40883
SubjectTerms Costs
Distributed generation
Distribution networks
Electric power systems
Electric vehicle charging
Electric vehicles
EVCS
Genetic algorithms
hybrid genetic algorithm-modified salp swarm algorithm (HGAMSSA)
Linear programming
multi-objective optimization
Multiple objective analysis
optimal placement
optimal sizing
Optimization
Optimization methods
Photovoltaic cells
Photovoltaic systems
Placement
Power system stability
Sizing
Urban areas
Vehicle-to-grid
Voltage
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Title Multi-Objective Approach for Optimal Sizing and Placement of EVCS in Distribution Networks With Distributed Rooftop PV in Metropolitan City
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