Identification of Transformer Parameters Using Dandelion Algorithm
Abstract
:1. Introduction
- i.
- This work presents the application of the DA for estimating the parameters of transformers.
- ii.
- To validate the effectiveness of the proposed method, experiments are conducted on both single-phase and three-phase transformers.
- iii.
- The performance of the DA is evaluated by comparing its results with those obtained from other optimization techniques.
2. Problem Mathematical Formulation
3. Dandelion Algorithm
- Case (1)
- Case (2)
4. Case Studies: Results and Discussion
4.1. Single-Phase Transformer: Parameters Identification
4.2. Three-Phase Transformer: Parameters Identification
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Ref. | Optimization Algorithm | Transformer Type | Main Outcomes/Shortcomings |
---|---|---|---|
[7] | Artificial hummingbird optimizer |
|
|
[14] | Coyote optimization algorithm |
|
|
[15] | Jellyfish search optimizer |
|
|
[16] | Chaotic optimization approach |
|
|
[17] | Artificial bee colony |
|
|
[18] | Slime mold optimizer |
|
|
[19] | Improved Tasmanian devil |
|
|
[20] | Generalized normal distribution optimizer |
|
|
[21] | Hurricane optimization algorithm |
|
|
(Ω) | (Ω) | (Ω) | (Ω) | (Ω) | (Ω) |
---|---|---|---|---|---|
3.0000 | 0.750 | 0.0375 | 0.0086 | 4000 | 1453 |
(Ω) | (Ω) | (Ω) | (Ω) | (Ω) | (Ω) |
---|---|---|---|---|---|
17.8601 | 19.4189 | 4.1000 | 4.0017 | 13054 | 3246.2 |
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El-Dabah, M.A.; Agwa, A.M. Identification of Transformer Parameters Using Dandelion Algorithm. Appl. Syst. Innov. 2024, 7, 75. https://doi.org/10.3390/asi7050075
El-Dabah MA, Agwa AM. Identification of Transformer Parameters Using Dandelion Algorithm. Applied System Innovation. 2024; 7(5):75. https://doi.org/10.3390/asi7050075
Chicago/Turabian StyleEl-Dabah, Mahmoud A., and Ahmed M. Agwa. 2024. "Identification of Transformer Parameters Using Dandelion Algorithm" Applied System Innovation 7, no. 5: 75. https://doi.org/10.3390/asi7050075