TITLE:
Reconfiguration and Optimal Positioning of Multiple-Point Capacitors in a High-Voltage Distribution Network Using the NSGAII
AUTHORS:
Arouna Oloulade, Richard Gilles Agbokpanzo, Maurel Richy Aza-Gnandji, Hassane Ousseyni Ibrahim, Moussa Gonda, Eméric Tokoudagba, Juliano Sétondji, François-Xavier Fifatin, Adolphe Moukengue Imano
KEYWORDS:
Reconfiguration, Capacitor Bank, NSGA II, Dynamic Network Degradation, Distribution Network Reliability
JOURNAL NAME:
Open Journal of Applied Sciences,
Vol.15 No.2,
February
26,
2025
ABSTRACT: The distribution networks sometimes suffer from excessive losses and voltage violations in densely populated areas. The aim of the present study is to improve the performance of a distribution network by successively applying mono-capacitor positioning, multiple positioning and reconfiguration processes using GA-based algorithms implemented in a Matlab environment. From the diagnostic study of this network, it was observed that a minimum voltage of 0.90 pu induces a voltage deviation of 5.26%, followed by active and reactive losses of 425.08 kW and 435.09 kVAR, respectively. Single placement with the NSGAII resulted in the placement of a 3000 kVAR capacitor at node 128, which proved to be the invariably neuralgic point. Multiple placements resulted in a 21.55% reduction in losses and a 0.74% regression in voltage profile performance. After topology optimization, the loss profile improved by 65.08% and the voltage profile improved by 1.05%. Genetic algorithms are efficient and effective tools for improving the performance of distribution networks, whose degradation is often dynamic due to the natural variability of loads.