Engineering Researchers Develop Innovative Approach to Electric Vehicle Charging

Strategic Insights -

Researchers from Siksha 'O' Anusandhan University in Bhubaneswar, India, have developed a groundbreaking method to optimize the placement of electric vehicle charging stations (EVCSs) in power distribution systems, incorporating photovoltaic (PV) and battery energy storage systems (BESS). The study proposes a criteria weight ranking mechanism to allocate charging requests for electric vehicles (EVs) based on the specified weights. By leveraging a multi-objective prairie dog optimization (MOPDO) algorithm, the researchers successfully optimized the placement of two EVCSs and the capacity of PV units, BESS units, and EVs in each EVCS, minimizing total active power loss and total cost while satisfying system constraints.

Key Takeaways:

  • The research team developed a criteria weight ranking mechanism to allocate charging requests for EVs based on specified weights.
  • The proposed approach optimizes the placement of two EVCSs and the capacity of PV units, BESS units, and EVs in each EVCS to minimize total active power loss and total cost.
  • The study employed a multi-objective prairie dog optimization (MOPDO) algorithm to achieve optimal allocation of resources.
  • The smart scheduling of EVs reduces overall load burden on the grid network.
  • The research has been peer-reviewed and published in the Arabian Journal for Science and Engineering.
  • The study focuses on the integration of EV charging stations into existing power distribution systems in a strategic and efficient manner.
  • The researchers considered the impact of renewable energy sources (RES) and BESS on power supply security, reliability, and economics for EV charging stations.
  • The study's findings demonstrate the effectiveness of the proposed approach in enhancing the distribution system's performance and raising the energy economics of EV charging stations.

Statistics:

  • The proposed approach optimizes the placement of two EVCSs in an IEEE 33 bus unbalanced radial distribution system (URDS).
  • The capacity of PV units, BESS units, and EVs in each EVCS is optimized to minimize total active power loss and total cost.
  • The smart scheduling of EVs reduces the overall load burden on the grid network by X%.
  • The research has been published in the Arabian Journal for Science and Engineering, with a publication date of 2025.
  • The study's findings have been verified through three case studies and simulation results.

Sources:

  • Impact of Electric Vehicle Charging Station With Photovoltaic and Battery Energy Storage System On Power Distribution System Smartness. Arabian Journal for Science and Engineering, 2025.
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  • Kumari Kasturi, Siksha 'O' Anusandhan University, Dept. of Electrical Engineering, Bhubaneswar 751030, India.
  • Sigma Ray and Manas Ranjan Nayak, co-authors of the research.