LOAD FLOW ANALYSIS FOR A 33KVA LINE

This paper investigates load flow (power-flow) analysis applied to a 33 kV medium-voltage distribution feeder. A typical feeder configuration, including line impedance, capacitance, and loading characteristics, was modeled using both the Gauss–Seidel and Newton–Raphson methods. Using MATLAB‑based simulations, performance metrics such as bus voltages, real/reactive power flows, line losses, and voltage regulation were computed under various loading scenarios (light, medium, and peak load). Results indicate that Newton–Raphson converges faster and with higher accuracy, especially under heavy loading. Voltage profiles remain within ±5 % of nominal for most scenarios, though voltage drop becomes significant at peak demand. The study provides detailed comparisons of computational performance and recommendations for practical deployment in distribution network planning and operations.

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Publication Details

Journal
International Journal of Applied and Advanced Engineering Research
Published
2025-09-10
DOI
https://doi.org/10.70382/mejaaer.v9i5.040
Primary Topic
Optimal Power Flow Distribution
Type
article
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article

LOAD FLOW ANALYSIS FOR A 33KVA LINE

MOHAMMED SANDA MARIBE
International Journal of Applied and Advanced Engineering Research
Optimal Power Flow Distribution
article

LOAD FLOW ANALYSIS FOR A 33KVA LINE

MOHAMMED SANDA MARIBE
article en

Abstract

This paper investigates load flow (power-flow) analysis applied to a 33 kV medium-voltage distribution feeder. A typical feeder configuration, including line impedance, capacitance, and loading characteristics, was modeled using both the Gauss–Seidel and Newton–Raphson methods. Using MATLAB‑based simulations, performance metrics such as bus voltages, real/reactive power flows, line losses, and voltage regulation were computed under various loading scenarios (light, medium, and peak load). Results indicate that Newton–Raphson converges faster and with higher accuracy, especially under heavy loading. Voltage profiles remain within ±5 % of nominal for most scenarios, though voltage drop becomes significant at peak demand. The study provides detailed comparisons of computational performance and recommendations for practical deployment in distribution network planning and operations.

International Journal of Applied and Advanced Engineering Research
The Federal Polytechnic, Ado-Ekiti (NG)
Openalex Percentile: Top 77%
Optimal Power Flow Distribution
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