Research Article |
Optimal Location of Electric Vehicle Charging Station in Reconfigured Radial Distribution Network
Author(s): Dandu Srinivas* and Dr.M. Ramasekhara Reddy
Published In : International Journal of Electrical and Electronics Research (IJEER) Volume 11, Issue 4
Publisher : FOREX Publication
Published : 30 November 2023
e-ISSN : 2347-470X
Page(s) : 1065-1071
Abstract
Electric vehicles are becoming increasingly popular because they are cleaner-burning and more efficient than combustion-engine automobiles. Due to the diminishing availability of fossil fuels and the carbon emissions produced by cars, electric vehicles (EV) have become a need for mobility in the near future. Electric car charging stations were established as a consequence of the increase in EVs. Electric car charging lowers voltage and increases real power loss in the radial distribution network. In order to mitigate real power loss and provide a stable voltage profile, the charging station has to be placed as efficiently as possible. The current research examines and elucidates the influence of electric vehicle charging stations (EVCS) on the balanced radial distribution network (BRDN) using particle swarm optimization (PSO). There are two steps involved in the planning process. The optimal placement for EVCS [1] in BRDN is identified in the first stage using PSO. The second stage uses reconfiguration to ensure higher EVCS stability. This two-step technique's main goal is to decrease the real power loss due to the placement of charging stations in the radial distribution network (RDN). The correctness of the suggested approach is expounded upon in four different cases. The second, third, and fourth cases use a two-step procedure, which is then compared to the base case. In the base case EVCS is ideally located in BRDN using PSO. The fourth case employs a concurrent two-step optimization approach and demonstrates superior performance compared to other cases. The suggested approach is implemented and evaluated on the IEEE 69 bus BRDN using the MATLAB software.
Keywords: Radial Distribution Network
, Particle Swarm Optimization
, Reconfiguration
, Optimal Location
, Electric Vehicles
, Charging Stations
, Real Power Losses
.
Dandu Srinivas*, Research Scholar, JNTU Anantapur, Andhra Pradesh; Email: srinivasphd226@gmail.com
Dr.M. Ramasekhara Reddy, Assistant Professor and Head of EEE Department, JNTUA College of Engineering Anantapur, Andhra Pradesh; Email: ramasekharreddy.eee@jntua.ac.in
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[1] R. Sriabisha and T. Yuvaraj, “Optimum placement of Electric Vehicle Charging Station using Particle Swarm Optimization Algorithm,” in Proceedings of the 9th International Conference on Electrical Energy Systems, ICEES 2023, 2023. doi: 10.1109/ICEES57979.2023.10110213.
-
[2] A. K. Kalakanti and S. Rao, “Charging Station Planning for Electric Vehicles,” Systems, vol. 10, no. 1, 2022, doi: 10.3390/systems10010006.
-
[3] S. K. R. Moupuri and K. Selvajyothi, “Optimal planning and utilisation of existing infrastructure with electric vehicle charging stations,” IET Gener. Transm. Distrib., vol. 15, no. 10, 2021, doi: 10.1049/gtd2.12086.
-
[4] A. H. Magham, R. Behkam, H. R. Baghaee, and G. B. Gharehpetian, “Energy Management of Electric Vehicle Chargers at Work to Increase Penetration of Electric Vehicles and Improve Voltage Profile in Smart Grids,” in 2022 12th Smart Grid Conference, SGC 2022, 2022. doi: 10.1109/SGC58052.2022.9998966.
-
[5] F. Ahmad, A. Iqbal, I. Ashraf, M. Marzband, and I. Khan, “Placement of electric vehicle fast charging stations in distribution network considering power loss, land cost, and electric vehicle population,” Energy Sources, Part A Recover. Util. Environ. Eff., vol. 44, no. 1, 2022, doi: 10.1080/15567036.2022.2055233.
-
[6] M. S. K. Reddy and K. Selvajyothi, “Optimal Placement of Electric Vehicle Charging Stations in Radial Distribution System along with Reconfiguration,” in 2019 IEEE 1st International Conference on Energy, Systems and Information Processing, ICESIP 2019, 2019. doi: 10.1109/ICESIP46348.2019.8938164.
-
[7] F. Ahmad, A. Iqbal, I. Ashraf, M. Marzband, and I. Khan, “The Optimal Placement of Electric Vehicle Fast Charging Stations in the Electrical Distribution System with Randomly Placed Solar Power Distributed Generations,” Distrib. Gener. Altern. Energy J., 2022, doi: 10.13052/dgaej2156-3306.37416.
-
[8] W. I. A. B. W. A. Manan, A. Bin Saedi, M. H. Bin Peeie, and M. S. Bin Abu Hanifah, “Modeling of the Network Reconfiguration Considering Electric Vehicle Charging Load,” in Proceedings of the 8th International Conference on Computer and Communication Engineering, ICCCE 2021, 2021. doi: 10.1109/ICCCE50029.2021.9467143.
-
[9] N. Aparna, G. Aruldevi, and S. A. Oviya, “Comparison of GA and PSO Optimization Techniques to Optimal Planning of Electric Vehicle Charging Station at our Local Distribution System,” Int. Res. J. Eng. Technol., vol. 7, no. 2, 2020.
-
[10] M. S. K. Reddy, A. K. Panigrahy, and K. Selvajyothi, “Minimization of Electric Vehicle charging Stations influence on Unbalanced radial distribution system with Optimal Reconfiguration using Particle Swarm Optimization,” in 2021 International Conference on Sustainable Energy and Future Electric Transportation, SeFet 2021, 2021. doi: 10.1109/SeFet48154.2021.9375665.
-
[11] J. Moshtagh and S. Ghasemi, “Optimal Distribution System Reconfiguration Using Nondominated\nSorting Genetic Algorithm (NSGA-II),” J. Oper. Autom. Power Eng., vol. 1, no. 1, 2013.