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<p>The electric vehicle (EV) market is rapidly growing in this era due to its economical operating and maintenance costs compared to conventional vehicles, along with their capability of reducing carbon emission globally. With the growing number of EVs, the load requirement in the radial distribution system (RDS) also increases. This additional load puts stress on the RDS, in particular during peak demand hours and also causes some power quality issues like voltage fluctuation in the RDS. This issue also affects Electric Vehicle charging station (EV-CS) operation. These problems can be resolved by properly allocating charging infrastructure (EV-CS) for electric cars. This paper presents three existing techniques—“Bat Optimal Algorithm (BOA)”, “Particle Swarm Optimization (PSO”), and “Genetic Algorithm (GA)”, to find the optimal position as well as size of EV-CS in RDS. Performance analysis of the RDS using “Backward-Forward Sweep algorithm (BFS)” for load flow with the application of the said three algorithms is carried out with an objective to reduce “real power losses” and “voltage variation”. Simulation studies are conducted on standard IEEE for 33-bus and 69-bus network. Comparison of PSO, GA, and BOA suggests better performance and faster convergence for BOA than PSO and GA.</p>

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Performance Analysis of Distribution System with Optimal Allocation of EV Charging Stations

  • 期刊论文

  • 发表日期：

    2026年5月25日

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  • Anant Kacha,
  • Siddharthsingh K. Chauhan,
  • Kuntal Bhattacharjee,
  • Soumesh Chatterjee,
  • P. N. Tekwani

摘要

The electric vehicle (EV) market is rapidly growing in this era due to its economical operating and maintenance costs compared to conventional vehicles, along with their capability of reducing carbon emission globally. With the growing number of EVs, the load requirement in the radial distribution system (RDS) also increases. This additional load puts stress on the RDS, in particular during peak demand hours and also causes some power quality issues like voltage fluctuation in the RDS. This issue also affects Electric Vehicle charging station (EV-CS) operation. These problems can be resolved by properly allocating charging infrastructure (EV-CS) for electric cars. This paper presents three existing techniques—“Bat Optimal Algorithm (BOA)”, “Particle Swarm Optimization (PSO”), and “Genetic Algorithm (GA)”, to find the optimal position as well as size of EV-CS in RDS. Performance analysis of the RDS using “Backward-Forward Sweep algorithm (BFS)” for load flow with the application of the said three algorithms is carried out with an objective to reduce “real power losses” and “voltage variation”. Simulation studies are conducted on standard IEEE for 33-bus and 69-bus network. Comparison of PSO, GA, and BOA suggests better performance and faster convergence for BOA than PSO and GA.