A Frequency Support Approach for Hybrid Energy Systems Considering Energy Storage
In hybrid energy systems, the intermittent and fluctuating nature of new energy sources poses major challenges for the regulation and control of power systems. To mitigate these challenges, energy storage devices have gained attention for their ability to rapidly charge and discharge. Collaborating...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/16/10/4252 |
| _version_ | 1797600248069095424 |
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| author | Dahu Li Hongyu Zhou Yuan Chen Yue Zhou Yuze Rao Wei Yao |
| author_facet | Dahu Li Hongyu Zhou Yuan Chen Yue Zhou Yuze Rao Wei Yao |
| author_sort | Dahu Li |
| collection | DOAJ |
| description | In hybrid energy systems, the intermittent and fluctuating nature of new energy sources poses major challenges for the regulation and control of power systems. To mitigate these challenges, energy storage devices have gained attention for their ability to rapidly charge and discharge. Collaborating with wind power (WP), energy storage (ES) can participate in the frequency control of regional power grids. This approach has garnered extensive interest from scholars worldwide. This paper proposes a two-region load frequency control model that accounts for thermal power, hydropower, ES, and WP. To address complex, nonlinear optimization problems, the dingo optimization algorithm (DOA) is employed to quickly obtain optimal power dispatching commands under different power disturbances. The DOA algorithm’s effectiveness is verified through the simulation of the two-region model. Furthermore, to further validate the proposed method’s optimization effect, the DOA algorithm’s optimization results are compared with those of the genetic algorithm (GA) and proportion method (PROP). Simulation results show that the optimization effect of DOA is more significant than the other methods. |
| first_indexed | 2024-03-11T03:45:51Z |
| format | Article |
| id | doaj.art-87cf1de5a91c495bb086376f96c5b51f |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-11T03:45:51Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-87cf1de5a91c495bb086376f96c5b51f2023-11-18T01:15:07ZengMDPI AGEnergies1996-10732023-05-011610425210.3390/en16104252A Frequency Support Approach for Hybrid Energy Systems Considering Energy StorageDahu Li0Hongyu Zhou1Yuan Chen2Yue Zhou3Yuze Rao4Wei Yao5State Grid Hubei Electric Power Co., Ltd., Wuhan 430077, ChinaSchool of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaChina Hubei Emission Exchange, Wuhan 430070, ChinaState Grid Hubei Electric Power Co., Ltd., Wuhan 430077, ChinaState Grid Hubei Electric Power Co., Ltd., Wuhan 430077, ChinaSchool of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaIn hybrid energy systems, the intermittent and fluctuating nature of new energy sources poses major challenges for the regulation and control of power systems. To mitigate these challenges, energy storage devices have gained attention for their ability to rapidly charge and discharge. Collaborating with wind power (WP), energy storage (ES) can participate in the frequency control of regional power grids. This approach has garnered extensive interest from scholars worldwide. This paper proposes a two-region load frequency control model that accounts for thermal power, hydropower, ES, and WP. To address complex, nonlinear optimization problems, the dingo optimization algorithm (DOA) is employed to quickly obtain optimal power dispatching commands under different power disturbances. The DOA algorithm’s effectiveness is verified through the simulation of the two-region model. Furthermore, to further validate the proposed method’s optimization effect, the DOA algorithm’s optimization results are compared with those of the genetic algorithm (GA) and proportion method (PROP). Simulation results show that the optimization effect of DOA is more significant than the other methods.https://www.mdpi.com/1996-1073/16/10/4252hybrid energy systemenergy storagewind powersupport frequencydingo optimization algorithm |
| spellingShingle | Dahu Li Hongyu Zhou Yuan Chen Yue Zhou Yuze Rao Wei Yao A Frequency Support Approach for Hybrid Energy Systems Considering Energy Storage Energies hybrid energy system energy storage wind power support frequency dingo optimization algorithm |
| title | A Frequency Support Approach for Hybrid Energy Systems Considering Energy Storage |
| title_full | A Frequency Support Approach for Hybrid Energy Systems Considering Energy Storage |
| title_fullStr | A Frequency Support Approach for Hybrid Energy Systems Considering Energy Storage |
| title_full_unstemmed | A Frequency Support Approach for Hybrid Energy Systems Considering Energy Storage |
| title_short | A Frequency Support Approach for Hybrid Energy Systems Considering Energy Storage |
| title_sort | frequency support approach for hybrid energy systems considering energy storage |
| topic | hybrid energy system energy storage wind power support frequency dingo optimization algorithm |
| url | https://www.mdpi.com/1996-1073/16/10/4252 |
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