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Parameter estimation of electric power transformers using Coyote Optimization Algorithm with experimental verification

Mohamed I Abdelwanis, Amlak Abaza, Ragab A El-Sehiemy, Mohamed Ibrahim (UGent) and Hegazy Rezk
(2020) IEEE ACCESS. 8. p.50036-50044
Author
Organization
Abstract
In this work, the Coyote Optimization Algorithm (COA) is implemented for estimating the parameters of single and three-phase power transformers. The estimation process is employed on the basis of the manufacturer's operation reports. The COA is assessed with the aid of the deviation between the actual and the estimated parameters as the main objective function. Further, the COA is compared with well-known optimization algorithms i.e. particle swarm and Jaya optimization algorithms. Moreover, experimental verifications are carried out on 4 kVA, 380/380 V, three-phase transformer and 1 kVA, 230/230 V, single-phase transformer. The obtained results prove the effectiveness and capability of the proposed COA. According to the obtained results, COA has the ability and stability to identify the accurate optimal parameters in case of both single phase and three phase transformers; thus accurate performance of the transformers is achieved. The estimated parameters using COA lead to the highest closeness to the experimental measured parameters that realizes the best agreements between the estimated parameters and the actual parameters compared with other optimization algorithms.
Keywords
Phase transformers, Optimization, Power transformers, Circuit faults, Parameter estimation, Equivalent circuits, Linear programming, Coyote, PSO, Jaya, single-phase transformer, transformer equivalent circuit, IDENTIFICATION, NETWORKS, SYSTEM

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MLA
Abdelwanis, Mohamed I., et al. “Parameter Estimation of Electric Power Transformers Using Coyote Optimization Algorithm with Experimental Verification.” IEEE ACCESS, vol. 8, 2020, pp. 50036–44, doi:10.1109/access.2020.2978398.
APA
Abdelwanis, M. I., Abaza, A., El-Sehiemy, R. A., Ibrahim, M., & Rezk, H. (2020). Parameter estimation of electric power transformers using Coyote Optimization Algorithm with experimental verification. IEEE ACCESS, 8, 50036–50044. https://doi.org/10.1109/access.2020.2978398
Chicago author-date
Abdelwanis, Mohamed I, Amlak Abaza, Ragab A El-Sehiemy, Mohamed Ibrahim, and Hegazy Rezk. 2020. “Parameter Estimation of Electric Power Transformers Using Coyote Optimization Algorithm with Experimental Verification.” IEEE ACCESS 8: 50036–44. https://doi.org/10.1109/access.2020.2978398.
Chicago author-date (all authors)
Abdelwanis, Mohamed I, Amlak Abaza, Ragab A El-Sehiemy, Mohamed Ibrahim, and Hegazy Rezk. 2020. “Parameter Estimation of Electric Power Transformers Using Coyote Optimization Algorithm with Experimental Verification.” IEEE ACCESS 8: 50036–50044. doi:10.1109/access.2020.2978398.
Vancouver
1.
Abdelwanis MI, Abaza A, El-Sehiemy RA, Ibrahim M, Rezk H. Parameter estimation of electric power transformers using Coyote Optimization Algorithm with experimental verification. IEEE ACCESS. 2020;8:50036–44.
IEEE
[1]
M. I. Abdelwanis, A. Abaza, R. A. El-Sehiemy, M. Ibrahim, and H. Rezk, “Parameter estimation of electric power transformers using Coyote Optimization Algorithm with experimental verification,” IEEE ACCESS, vol. 8, pp. 50036–50044, 2020.
@article{8655346,
  abstract     = {{In this work, the Coyote Optimization Algorithm (COA) is implemented for estimating the parameters of single and three-phase power transformers. The estimation process is employed on the basis of the manufacturer's operation reports. The COA is assessed with the aid of the deviation between the actual and the estimated parameters as the main objective function. Further, the COA is compared with well-known optimization algorithms i.e. particle swarm and Jaya optimization algorithms. Moreover, experimental verifications are carried out on 4 kVA, 380/380 V, three-phase transformer and 1 kVA, 230/230 V, single-phase transformer. The obtained results prove the effectiveness and capability of the proposed COA. According to the obtained results, COA has the ability and stability to identify the accurate optimal parameters in case of both single phase and three phase transformers; thus accurate performance of the transformers is achieved. The estimated parameters using COA lead to the highest closeness to the experimental measured parameters that realizes the best agreements between the estimated parameters and the actual parameters compared with other optimization algorithms.}},
  author       = {{Abdelwanis, Mohamed I and Abaza, Amlak and El-Sehiemy, Ragab A and Ibrahim, Mohamed and Rezk, Hegazy}},
  issn         = {{2169-3536}},
  journal      = {{IEEE ACCESS}},
  keywords     = {{Phase transformers,Optimization,Power transformers,Circuit faults,Parameter estimation,Equivalent circuits,Linear programming,Coyote,PSO,Jaya,single-phase transformer,transformer equivalent circuit,IDENTIFICATION,NETWORKS,SYSTEM}},
  language     = {{eng}},
  pages        = {{50036--50044}},
  title        = {{Parameter estimation of electric power transformers using Coyote Optimization Algorithm with experimental verification}},
  url          = {{http://doi.org/10.1109/access.2020.2978398}},
  volume       = {{8}},
  year         = {{2020}},
}
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