Calculation of renewable energy hosting capacity of distribution network based on multi strategy improved adaptive manta ray foraging optimization
With the increasing penetration of renewable energy in the distribution network, however, due to the randomness and volatility of renewable energy output, the large-scale grid connection of renewable energy will bring challenges to the safe and stable operation of the distribution network. The calcu...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-01-01
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| Series: | Frontiers in Energy Research |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2022.985623/full |
| _version_ | 1797956190891671552 |
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| author | Zhiyong Yuan Min Xu Yigang Tao Min Li Zuogang Guo Juncheng Zhang |
| author_facet | Zhiyong Yuan Min Xu Yigang Tao Min Li Zuogang Guo Juncheng Zhang |
| author_sort | Zhiyong Yuan |
| collection | DOAJ |
| description | With the increasing penetration of renewable energy in the distribution network, however, due to the randomness and volatility of renewable energy output, the large-scale grid connection of renewable energy will bring challenges to the safe and stable operation of the distribution network. The calculation of renewable energy hosting capacity of distribution network is not only beneficial to the construction of renewable clean and low-carbon power system, but also of great significance for the planners of power grid to carry out renewable energy planning. Renewable energy hosting capacity calculation involves many constraints, including a large number of nonlinear constraints, and the hosting capacity calculation model is very complex, lacking efficient solution algorithm. Aiming at the existing problems, the calculation model of renewable energy hosting capacity of distribution network is established based on full consideration of power quality, relay protection and thermal stability test. A multi strategy improved adaptive manta ray foraging optimization algorithm (MSAMRFO) is proposed to solve the hosting capacity model. MSAMRFO algorithm adopts half uniform initialization strategy, adaptive variable step size strategy and local convergence mutation strategy to improve manta ray foraging optimization algorithm (MRFO) algorithm. Finally, the effectiveness of the proposed model and method is verified by an example. The example shows that the MRFO algorithm after multi strategy improvement has outstanding effect both in convergence speed and algorithm stability. |
| first_indexed | 2024-04-10T23:45:03Z |
| format | Article |
| id | doaj.art-ad7948369f9648fe802461fdf6ca1b5c |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-04-10T23:45:03Z |
| publishDate | 2023-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-ad7948369f9648fe802461fdf6ca1b5c2023-01-11T04:40:16ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2023-01-011010.3389/fenrg.2022.985623985623Calculation of renewable energy hosting capacity of distribution network based on multi strategy improved adaptive manta ray foraging optimizationZhiyong Yuan0Min Xu1Yigang Tao2Min Li3Zuogang Guo4Juncheng Zhang5Electric Power Research Institute, CSG, Guangzhou, ChinaElectric Power Research Institute, CSG, Guangzhou, ChinaPower Grid Planning Research Center of Guangxi Power Grid Co., Ltd., Nanning, ChinaPower Grid Planning Research Center of Guangxi Power Grid Co., Ltd., Nanning, ChinaElectric Power Research Institute, CSG, Guangzhou, ChinaPower Grid Planning Research Center of Guangxi Power Grid Co., Ltd., Nanning, ChinaWith the increasing penetration of renewable energy in the distribution network, however, due to the randomness and volatility of renewable energy output, the large-scale grid connection of renewable energy will bring challenges to the safe and stable operation of the distribution network. The calculation of renewable energy hosting capacity of distribution network is not only beneficial to the construction of renewable clean and low-carbon power system, but also of great significance for the planners of power grid to carry out renewable energy planning. Renewable energy hosting capacity calculation involves many constraints, including a large number of nonlinear constraints, and the hosting capacity calculation model is very complex, lacking efficient solution algorithm. Aiming at the existing problems, the calculation model of renewable energy hosting capacity of distribution network is established based on full consideration of power quality, relay protection and thermal stability test. A multi strategy improved adaptive manta ray foraging optimization algorithm (MSAMRFO) is proposed to solve the hosting capacity model. MSAMRFO algorithm adopts half uniform initialization strategy, adaptive variable step size strategy and local convergence mutation strategy to improve manta ray foraging optimization algorithm (MRFO) algorithm. Finally, the effectiveness of the proposed model and method is verified by an example. The example shows that the MRFO algorithm after multi strategy improvement has outstanding effect both in convergence speed and algorithm stability.https://www.frontiersin.org/articles/10.3389/fenrg.2022.985623/fulldistribution networkrenewable energyhosting capacityhosting capacity index systemMSAMRFO algorithm |
| spellingShingle | Zhiyong Yuan Min Xu Yigang Tao Min Li Zuogang Guo Juncheng Zhang Calculation of renewable energy hosting capacity of distribution network based on multi strategy improved adaptive manta ray foraging optimization Frontiers in Energy Research distribution network renewable energy hosting capacity hosting capacity index system MSAMRFO algorithm |
| title | Calculation of renewable energy hosting capacity of distribution network based on multi strategy improved adaptive manta ray foraging optimization |
| title_full | Calculation of renewable energy hosting capacity of distribution network based on multi strategy improved adaptive manta ray foraging optimization |
| title_fullStr | Calculation of renewable energy hosting capacity of distribution network based on multi strategy improved adaptive manta ray foraging optimization |
| title_full_unstemmed | Calculation of renewable energy hosting capacity of distribution network based on multi strategy improved adaptive manta ray foraging optimization |
| title_short | Calculation of renewable energy hosting capacity of distribution network based on multi strategy improved adaptive manta ray foraging optimization |
| title_sort | calculation of renewable energy hosting capacity of distribution network based on multi strategy improved adaptive manta ray foraging optimization |
| topic | distribution network renewable energy hosting capacity hosting capacity index system MSAMRFO algorithm |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2022.985623/full |
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