Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal International Journal of Applied Power Engineering (IJAPE)
François-Xavier Fifatin
University of Abomey-Calavi
Electrical & Electronics Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Novel approach for assessing the maximum load capacity of buses within a power transmission network Moussa Gonda; Arouna Oloulade; Richard Gilles Agbokpanzo; Maurel Richy Aza-Gnandji; Hassane Ousseyni Ibrahim; Cossi Télesphore Nounangnonhou; François-Xavier Fifatin; Adolphe Moukengue Imano
International Journal of Applied Power Engineering (IJAPE) Vol 15, No 3: September 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v15.i3.pp1105-1116

Abstract

Achieving a balance between the satisfaction of energy requirements and adherence to environmental and social regulations stipulated in international agreements necessitates the rigorous management of existing electricity systems by electricity network operators, thereby ensuring that thermal and stability limits are not exceeded. Consequently, the assessment of load bus maximum capacity (LBMC) at any given load bus (LB) becomes imperative for ensuring the reliability and efficiency of electricity transmission networks. The extant literature on the subject of assessing LBMC in electrical networks either fails to take into account the combined effects on such networks of their various load points or, if it does, it is computationally intensive. The approach proposed in this paper involves a simplified method for assessing the LBMC for each of the LBs in the network. This is achieved to ensure that the combined effect of increasing the load on each of these buses does not compromise the load planning determined by a given network performance index, either during normal operation or in the event of a malfunction. The findings substantiate the efficacy of the proposed methodology, which facilitates the reliable estimation of LBMC. The reliability of this approach is ensured by the selection of a reliable performance indicator, which in our case is the complex stability index for transmission lines (CSITL).
Multi-objective planning of distributed resources (PV and SVC) with NSGA-II for radial networks: application to the IEEE 33-bus test system Hassane Ousseyni Ibrahim; Abdoul Malik Maman Issaka; Moussa Gonda; Arouna Oloulade; François-Xavier Fifatin
International Journal of Applied Power Engineering (IJAPE) Vol 15, No 3: September 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v15.i3.pp1243-1252

Abstract

The quality of electricity supply in distribution networks is critically dependent on minimizing active power losses and ensuring voltage stability. This study proposes a unified multi-objective optimization approach for the simultaneous placement and sizing of a photovoltaic (PV) source and a static var compensator (SVC) in radial networks. The non-dominated sorting genetic algorithm II (NSGA-II) is employed as the robust methodology to generate the Pareto optimal front, effectively exploring the trade-offs between two conflicting objectives: active loss minimization and voltage profile improvement. Unlike sequential or single-unit optimization strategies, this joint optimization framework is the key novelty, leveraging the specific physical interaction between PV active power injection and SVC-based dynamic reactive support to maximize overall network efficiency. Simulations are performed on the standard IEEE 33-bus test system. The results demonstrate that the optimal and coordinated integration of a 0.97 MW PV system at bus 14 and a 1.32 MVAr SVC at bus 30 yields superior electrical performance. Specifically, the system achieves a substantial active power loss reduction of 62.53% and decreases the voltage deviation index from 0.117 p.u. to a minimum of 0.0169 p.u., confirming the effectiveness of the proposed NSGA-II approach for comprehensive distributed resource planning.
Co-Authors Abdoul Malik Maman Issaka Adolphe Moukengue Imano Arouna Oloulade Cossi Télesphore Nounangnonhou Hassane Ousseyni Ibrahim Maurel Richy Aza-Gnandji Moussa Gonda Moussa Gonda Richard Gilles Agbokpanzo