Traction Load Modeling and Parameter Identification Based on Improved Sparrow Search Algorithm
In this paper, a traction load model parameter identification method based on the improved sparrow search algorithm (ISSA) is proposed. According to the load characteristics of the AC traction power supply system under transient disturbance, the model structure of the traction load is equated to the...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/15/14/5034 |
| _version_ | 1797433707525570560 |
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| author | Zhensheng Wu Deling Fan Fan Zou |
| author_facet | Zhensheng Wu Deling Fan Fan Zou |
| author_sort | Zhensheng Wu |
| collection | DOAJ |
| description | In this paper, a traction load model parameter identification method based on the improved sparrow search algorithm (ISSA) is proposed. According to the load characteristics of the AC traction power supply system under transient disturbance, the model structure of the traction load is equated to the composite load model structure of the static load shunt induction motor’s dynamic load. The traditional sparrow search algorithm is improved to enhance its accuracy and convergence. The generalization ability of the model was tested, and the accuracy of the proposed model was verified. Using the ISSA to determine the load model from the measured data, the results can verify the effectiveness of the ISSA for comprehensive load model parameter identification. Comparing the ISSA with the traditional SSA and PSO algorithms, it shows that the ISSA has better accuracy and convergence. |
| first_indexed | 2024-03-09T10:19:48Z |
| format | Article |
| id | doaj.art-f80c43679c7f40af9332ab80b6034219 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T10:19:48Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-f80c43679c7f40af9332ab80b60342192023-12-01T22:06:16ZengMDPI AGEnergies1996-10732022-07-011514503410.3390/en15145034Traction Load Modeling and Parameter Identification Based on Improved Sparrow Search AlgorithmZhensheng Wu0Deling Fan1Fan Zou2School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, ChinaDepartment of Earth Science, Uppsala University, 62157 Visby, SwedenIn this paper, a traction load model parameter identification method based on the improved sparrow search algorithm (ISSA) is proposed. According to the load characteristics of the AC traction power supply system under transient disturbance, the model structure of the traction load is equated to the composite load model structure of the static load shunt induction motor’s dynamic load. The traditional sparrow search algorithm is improved to enhance its accuracy and convergence. The generalization ability of the model was tested, and the accuracy of the proposed model was verified. Using the ISSA to determine the load model from the measured data, the results can verify the effectiveness of the ISSA for comprehensive load model parameter identification. Comparing the ISSA with the traditional SSA and PSO algorithms, it shows that the ISSA has better accuracy and convergence.https://www.mdpi.com/1996-1073/15/14/5034improved sparrow search algorithmparameter identificationtraction loadload modeling |
| spellingShingle | Zhensheng Wu Deling Fan Fan Zou Traction Load Modeling and Parameter Identification Based on Improved Sparrow Search Algorithm Energies improved sparrow search algorithm parameter identification traction load load modeling |
| title | Traction Load Modeling and Parameter Identification Based on Improved Sparrow Search Algorithm |
| title_full | Traction Load Modeling and Parameter Identification Based on Improved Sparrow Search Algorithm |
| title_fullStr | Traction Load Modeling and Parameter Identification Based on Improved Sparrow Search Algorithm |
| title_full_unstemmed | Traction Load Modeling and Parameter Identification Based on Improved Sparrow Search Algorithm |
| title_short | Traction Load Modeling and Parameter Identification Based on Improved Sparrow Search Algorithm |
| title_sort | traction load modeling and parameter identification based on improved sparrow search algorithm |
| topic | improved sparrow search algorithm parameter identification traction load load modeling |
| url | https://www.mdpi.com/1996-1073/15/14/5034 |
| work_keys_str_mv | AT zhenshengwu tractionloadmodelingandparameteridentificationbasedonimprovedsparrowsearchalgorithm AT delingfan tractionloadmodelingandparameteridentificationbasedonimprovedsparrowsearchalgorithm AT fanzou tractionloadmodelingandparameteridentificationbasedonimprovedsparrowsearchalgorithm |