Comparative Study and Performance Analysis of PSO, ABC, BFO and Cuckoo Search Optimization Techniques on UPFC Device for Voltage Stability Margin Improvement


Authors : Ikeli Ndubuisi Hyginus; Evans Chinemezu Ashigwuike; Isaac Ibitoye Alabi

Volume/Issue : Volume 7 - 2022, Issue 6 - June

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/3B3ixot

DOI : https://doi.org/10.5281/zenodo.6856386

This paper investigates the enhancement of voltage stability margin using UPFCdevice tuned with PSO, ABC, BFO and Cuckoo Search techniqueson Nigerian 330KV 56-bus practical network. In order to have avoltage stable power system it is goodto keep voltages within the acceptable limits. This is achieved using continuation power flow embedded in Power System Analysis Toolbox (PSAT).The optimal location and tuning of the UPFC device is determined using line stability index and the met – heuristics techniques. The effects of UPFC on voltage stability margin are examined. The results so obtained for tuning PSO, ABC, BFO and Cuckoo Search with UPFC device are compared to know the technique that yields the best loading parameter for Nigerian 56- bus power system for voltage stability margin enhancement. It is found thatUPFC tuned with Cuckoo Search outperforms the other techniques in terms of the increased loading parameter of the Nigerian power system which gives room for voltage stability margin improvement.The tuned UPFC device has provedbeyond reasonable doubt that it can improve voltagestability margin of the entire Nigerian 330KV Network.

Keywords : Artificial Bee Colony, Bacterial Foraging Algorithm, Cuckoo Search Algorithm, Particle Swarm Optimization, Voltage stability margin, UPFC.

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