2023
DOI: 10.3390/su15064816
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Firefly Optimization Heuristics for Sustainable Estimation in Power System Harmonics

Abstract: The sustainable power development requires the study of power quality while taking into account of electrical equipment is an important aspect because it highly compromises the overall efficiency including quality, reliability and continuity of power flow. The aim for smooth power flow is only accomplished if compatibility is met between all the instruments connected to the system. The odd harmonics both on amplitude and phase domain must be known in order to exactly cop up with their adverse effects on overal… Show more

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Cited by 10 publications
(2 citation statements)
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References 68 publications
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“…The accurate estimation of ARX parameters reflecting the LD-Didactic temperature process plant model further validates the better performance of ICGWO. Future studies can extend the application of the proposed scheme to solve problems such as PV solar panels, constraint-preserving mixers, and real-time estimation of harmonics in nonlinear loads [ 92 , 93 , 94 , 95 , 96 ].…”
Section: Discussionmentioning
confidence: 99%
“…The accurate estimation of ARX parameters reflecting the LD-Didactic temperature process plant model further validates the better performance of ICGWO. Future studies can extend the application of the proposed scheme to solve problems such as PV solar panels, constraint-preserving mixers, and real-time estimation of harmonics in nonlinear loads [ 92 , 93 , 94 , 95 , 96 ].…”
Section: Discussionmentioning
confidence: 99%
“…This leads researchers to develop new or improve existing metaheuristics for different real-world optimization problems [38]. Among the different approaches, swarm-based metaheuristics have been applied in various applications of parameter estimation, which are solar cells [39], electric vehicles [40], image processing [41], machine learning [42], multiple input multiple output systems [43], ARX estimation [44], economic dispatch [45], temperature processing plants [46], and nonlinear system identification [36].…”
Section: Introductionmentioning
confidence: 99%