Control Strategy of Parallel Systems with Efficiency Optimisation in Switched Reluctance Generators
To solve motor heating and life shortening of parallel switched reluctance generator (SRG) induced by uneven output currents due to different external characteristics, we generally adopt current sharing control (CSC) to make each parallel generator undertake large load currents on average to improve...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2021-01-01
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| Series: | Power Electronics and Drives |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/pead-2021-0003 |
| _version_ | 1818280362876338176 |
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| author | Zan Xiaoshu Lin Hang Xu Guanqun Zhao Tiejun Gong Yi |
| author_facet | Zan Xiaoshu Lin Hang Xu Guanqun Zhao Tiejun Gong Yi |
| author_sort | Zan Xiaoshu |
| collection | DOAJ |
| description | To solve motor heating and life shortening of parallel switched reluctance generator (SRG) induced by uneven output currents due to different external characteristics, we generally adopt current sharing control (CSC) to make each parallel generator undertake large load currents on average to improve the reliability of parallel power generation system. However, the method usually causes additional loss of power because it does not consider the efficiency characteristics of each parallel generator. Therefore, with the efficiency expression for the parallel system of SRG established and analysed, the control strategy based on differential evolution (DE) algorithm is proposed as a mechanism by which to enhance generating capacity and reliability of multi-machine power generation from the perspective of efficiency optimisation. We re-adjust the reference current of each parallel generator to transform the working point of each generator and implement the efficiency optimisation of parallel system. The performance of the proposed control method is evaluated in detail by the simulation and experiment, and comparison with traditional CSC is carried out as well. |
| first_indexed | 2024-12-12T23:48:02Z |
| format | Article |
| id | doaj.art-01bdefbc2ccf48febcec7d900d5c141c |
| institution | Directory Open Access Journal |
| issn | 2543-4292 |
| language | English |
| last_indexed | 2024-12-12T23:48:02Z |
| publishDate | 2021-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Power Electronics and Drives |
| spelling | doaj.art-01bdefbc2ccf48febcec7d900d5c141c2022-12-22T00:06:47ZengSciendoPower Electronics and Drives2543-42922021-01-0161617410.2478/pead-2021-0003Control Strategy of Parallel Systems with Efficiency Optimisation in Switched Reluctance GeneratorsZan Xiaoshu0Lin Hang1Xu Guanqun2Zhao Tiejun3Gong Yi4State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems (China Electric Power Research Institute), Beijing, ChinaSchool of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou, ChinaSchool of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou, ChinaSchool of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou, ChinaSchool of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou, ChinaTo solve motor heating and life shortening of parallel switched reluctance generator (SRG) induced by uneven output currents due to different external characteristics, we generally adopt current sharing control (CSC) to make each parallel generator undertake large load currents on average to improve the reliability of parallel power generation system. However, the method usually causes additional loss of power because it does not consider the efficiency characteristics of each parallel generator. Therefore, with the efficiency expression for the parallel system of SRG established and analysed, the control strategy based on differential evolution (DE) algorithm is proposed as a mechanism by which to enhance generating capacity and reliability of multi-machine power generation from the perspective of efficiency optimisation. We re-adjust the reference current of each parallel generator to transform the working point of each generator and implement the efficiency optimisation of parallel system. The performance of the proposed control method is evaluated in detail by the simulation and experiment, and comparison with traditional CSC is carried out as well.https://doi.org/10.2478/pead-2021-0003switched reluctance generatorparallel systemefficiency optimizationdifferential evolution algorithm |
| spellingShingle | Zan Xiaoshu Lin Hang Xu Guanqun Zhao Tiejun Gong Yi Control Strategy of Parallel Systems with Efficiency Optimisation in Switched Reluctance Generators Power Electronics and Drives switched reluctance generator parallel system efficiency optimization differential evolution algorithm |
| title | Control Strategy of Parallel Systems with Efficiency Optimisation in Switched Reluctance Generators |
| title_full | Control Strategy of Parallel Systems with Efficiency Optimisation in Switched Reluctance Generators |
| title_fullStr | Control Strategy of Parallel Systems with Efficiency Optimisation in Switched Reluctance Generators |
| title_full_unstemmed | Control Strategy of Parallel Systems with Efficiency Optimisation in Switched Reluctance Generators |
| title_short | Control Strategy of Parallel Systems with Efficiency Optimisation in Switched Reluctance Generators |
| title_sort | control strategy of parallel systems with efficiency optimisation in switched reluctance generators |
| topic | switched reluctance generator parallel system efficiency optimization differential evolution algorithm |
| url | https://doi.org/10.2478/pead-2021-0003 |
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