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Voltage Surge Estimation in Inverter-Cable High-Impedance Load System Wilson, Benjamin Egyin; Armah, Ebenezer; Tsikata, Nutifafa
Journal of Power, Energy, and Control Vol. 2 No. 2 (2025)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/pec.v2i2.62

Abstract

This paper presents a theoretical analysis of inverter–cable–high-impedance load systems using transmission line theory. High-frequency inverters with short voltage rise times can induce severe voltage surges at the load terminal due to impedance mismatch and wave reflections. An analytical expression is derived to estimate the peak terminal voltage as a function of the inverter rise time and cable propagation delay. Simulation results obtained using MATLAB confirm that the peak voltage can surge up to twice the DC link value (300 V for a 150 V DC source) when the inverter rise time is less than three times the cable propagation delay. To mitigate this overvoltage, a dV/dt filter is designed for worst-case rise-time conditions (step input), enhancing surge suppression without requiring redesign across varying switching speeds. The proposed method offers a practical, cost-effective solution for long-cable applications in high-frequency inverter systems.
Pelican Optimization Algorithm (POA)-based Method for Solving the Optimal Capacitor Integration (OCI) Problem Yussif, Abdul-Fatawu Seini; Seini, Toufic; Wilson, Benjamin Egyin
Andalasian International Journal of Applied Science, Engineering and Technology Vol. 5 No. 3 (2025): November 2025
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijaset.v5i3.233

Abstract

This study presents a pelican optimization algorithm (POA) based technique for optimizing the integration of capacitor banks in radial power distribution systems. The proposed approach adopts a hybrid approach that combines the loss sensitivity factors (LSF) and the POA to determine the appropriate placement and sizing of the capacitor banks, respectively, for best system performance. The proposed methodology is tested on the IEEE 33-bus distribution system using MATLAB software. The performance for integrating two capacitor banks is compared to that of the particle swarm optimization (PSO) and the genetic algorithm (GA) methods. The proposed POA method achieved a significant improvement in system performance. Specifically, it reduced active power losses (PLoss) by 68.08%, which surpasses the reductions achieved by PSO (61.79%) and GA (57.73%). In the case of reactive power loss (QLoss), the POA-based approach also proved superior with a 39.035% reduction, while PSO and GA-based methods achieved 28.50% and 22.59% reductions, respectively. These results underscore the effectiveness of the POA-based approach in capacitor bank placement and sizing, making it a promising candidate for enhancing voltage profiles and minimizing power losses in radial distribution systems.