Multi-Angle Reliability Evaluation of Grid-Connected Wind Farms with Energy Storage Based on Latin Hypercube Important Sampling
Aiming to combat the problems of slow speed and poor accuracy of reliability evaluation of the power system in wind farms with energy storage, this paper proposes a method of reliability evaluation based on Latin hypercube important sampling (LHIS). Firstly, we aimed to establish the Latin hypercube...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/16/18/6427 |
| _version_ | 1797580406886760448 |
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| author | Weixin Yang Yangfan Zhang Yu Wang Kai Liang Hongshan Zhao Ao Yang |
| author_facet | Weixin Yang Yangfan Zhang Yu Wang Kai Liang Hongshan Zhao Ao Yang |
| author_sort | Weixin Yang |
| collection | DOAJ |
| description | Aiming to combat the problems of slow speed and poor accuracy of reliability evaluation of the power system in wind farms with energy storage, this paper proposes a method of reliability evaluation based on Latin hypercube important sampling (LHIS). Firstly, we aimed to establish the Latin hypercube important sampling evaluation model by combining the Latin hypercube sampling method with the important sampling method. Secondly, we aimed to optimize the sample probability distribution of the components and conduct hierarchical sampling of the system. Then, the comprehensive risk indicator (CRI) was proposed to evaluate the operational risk and the wind storage generation interrupted energy benefit (WSGIEB) was proposed to evaluate the contribution of the reliability. Finally, simulation experiments were carried out through various power system operation scenarios. The simulation results show that the proposed method is 47% higher than the improving importance sampling method (IM-IS) in evaluation speed and 33% higher than the improving importance sampling method in calculation accuracy. |
| first_indexed | 2024-03-10T22:50:34Z |
| format | Article |
| id | doaj.art-b5c4066757784a55bfc734705aee9287 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T22:50:34Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-b5c4066757784a55bfc734705aee92872023-11-19T10:24:58ZengMDPI AGEnergies1996-10732023-09-011618642710.3390/en16186427Multi-Angle Reliability Evaluation of Grid-Connected Wind Farms with Energy Storage Based on Latin Hypercube Important SamplingWeixin Yang0Yangfan Zhang1Yu Wang2Kai Liang3Hongshan Zhao4Ao Yang5North China Electric Power Research Institute Co., Ltd., Beijing 100045, ChinaNorth China Electric Power Research Institute Co., Ltd., Beijing 100045, ChinaNorth China Electric Power Research Institute Co., Ltd., Beijing 100045, ChinaNorth China Electric Power Research Institute Co., Ltd., Beijing 100045, ChinaSchool of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, ChinaSchool of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, ChinaAiming to combat the problems of slow speed and poor accuracy of reliability evaluation of the power system in wind farms with energy storage, this paper proposes a method of reliability evaluation based on Latin hypercube important sampling (LHIS). Firstly, we aimed to establish the Latin hypercube important sampling evaluation model by combining the Latin hypercube sampling method with the important sampling method. Secondly, we aimed to optimize the sample probability distribution of the components and conduct hierarchical sampling of the system. Then, the comprehensive risk indicator (CRI) was proposed to evaluate the operational risk and the wind storage generation interrupted energy benefit (WSGIEB) was proposed to evaluate the contribution of the reliability. Finally, simulation experiments were carried out through various power system operation scenarios. The simulation results show that the proposed method is 47% higher than the improving importance sampling method (IM-IS) in evaluation speed and 33% higher than the improving importance sampling method in calculation accuracy.https://www.mdpi.com/1996-1073/16/18/6427energy storage systemwind farm grid connectionLatin hypercube importance samplingpower grid reliability assessmentmulti-angle evaluation indicator |
| spellingShingle | Weixin Yang Yangfan Zhang Yu Wang Kai Liang Hongshan Zhao Ao Yang Multi-Angle Reliability Evaluation of Grid-Connected Wind Farms with Energy Storage Based on Latin Hypercube Important Sampling Energies energy storage system wind farm grid connection Latin hypercube importance sampling power grid reliability assessment multi-angle evaluation indicator |
| title | Multi-Angle Reliability Evaluation of Grid-Connected Wind Farms with Energy Storage Based on Latin Hypercube Important Sampling |
| title_full | Multi-Angle Reliability Evaluation of Grid-Connected Wind Farms with Energy Storage Based on Latin Hypercube Important Sampling |
| title_fullStr | Multi-Angle Reliability Evaluation of Grid-Connected Wind Farms with Energy Storage Based on Latin Hypercube Important Sampling |
| title_full_unstemmed | Multi-Angle Reliability Evaluation of Grid-Connected Wind Farms with Energy Storage Based on Latin Hypercube Important Sampling |
| title_short | Multi-Angle Reliability Evaluation of Grid-Connected Wind Farms with Energy Storage Based on Latin Hypercube Important Sampling |
| title_sort | multi angle reliability evaluation of grid connected wind farms with energy storage based on latin hypercube important sampling |
| topic | energy storage system wind farm grid connection Latin hypercube importance sampling power grid reliability assessment multi-angle evaluation indicator |
| url | https://www.mdpi.com/1996-1073/16/18/6427 |
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