Impact of Electric Vehicle Charging Loads on the Performance of the IEEE 33-Bus Distribution Network

Authors

  • Abdulbari Ali Mohamed Frei Higher Institute of Sciences and Technology Msallatah, Libya Author
  • Saad Mohamed Eshtewi Higher Institute of Sciences and Technology Msallatah, Libya Author

DOI:

https://doi.org/10.65405/pmpch392

Keywords:

EV charging; IEEE 33-bus network; load flow; charging-site sensitivity; voltage-constrained hosting capacity; feeder losses

Abstract

Concentrated electric-vehicle (EV) charging can compromise radial feeder voltage and increase resistive losses, yet the severity also depends on connection location. This paper studies the 12.66 kV IEEE 33-bus network using a balanced backward/forward-sweep solver. Five prescribed EV demand levels (0–80% of the 3,715 kW base demand) are evaluated with coincidence factors of 0.60 and 1.00; the resulting active-power increments are distributed equally among buses 18, 25, and 33 at unity power factor. At the highest evening demand (2,972 kW), the minimum voltage declines from 0.913090 to 0.795866 p.u., and feeder loss increases from 202.677 to 835.423 kW. A separate sensitivity test places the same 743 kW load individually at buses 6, 18, and 33. The corresponding minimum voltages are 0.90141, 0.84753, and 0.87908 p.u. Under a 0.90 p.u. voltage-only criterion, the maximum additional loads at these locations are 831.46, 160.71, and 339.06 kW, respectively. An independent Simscape charger test records 8.678 A and 3.385 kW at the battery terminals over a short operating interval. Together, these results quantify both demand- and site-dependent impacts while distinguishing voltage-constrained hosting estimates from equipment ratings and charger dynamics.

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Published

2026-09-30

How to Cite

Impact of Electric Vehicle Charging Loads on the Performance of the IEEE 33-Bus Distribution Network. (2026). Comprehensive Journal of Science, 11(42), 1246-1256. https://doi.org/10.65405/pmpch392