Optimal allocation of supercapacitor energy storage system capacity for mitigating wind power fluctuations
Under the background of "double carbon", the installed capacity of wind power grows year by year, characterized by intermittency and volatility, bringing challenges to the reliable operation of the power system. This study proposes an optimal capacity configuration method for supercapacito...
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| Format: | Article |
| Language: | English |
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Tamkang University Press
2025-06-01
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| Series: | Journal of Applied Science and Engineering |
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| Online Access: | http://jase.tku.edu.tw/articles/jase-202601-29-01-0013 |
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| author | Ge Cao Yifeng Dang Shaoxiong Guo Yan Liang Rong Jia |
| author_facet | Ge Cao Yifeng Dang Shaoxiong Guo Yan Liang Rong Jia |
| author_sort | Ge Cao |
| collection | DOAJ |
| description | Under the background of "double carbon", the installed capacity of wind power grows year by year, characterized by intermittency and volatility, bringing challenges to the reliable operation of the power system. This study proposes an optimal capacity configuration method for supercapacitor energy storage systems (SCES) to mitigate wind power fluctuations and maintain power system stability. The initial wind power curves are first analyzed and processed using empirical modal analysis to obtain a series of intrinsic modal functions at different frequencies, distinguishing between lowfrequency and high-frequency signals, which are reconstructed. Secondly, Leigh takes the minimization of the fluctuation volume and investment and operation cost of the supercapacitor energy storage system as the objective function and establishes the capacity allocation model of the supercapacitor energy storage system based on the power generation constraints and energy balance constraints of the supercapacitor energy storage system; Finally, the computational analysis was performed by actual area data, and the K-means algorithm was used to solve for grouping the data points into clusters, reconstructing each typical day and setting the maximum fluctuation limit. The proposed capacity allocation model is utilized to flatten the wind power data, and by comparing the grid-connected power curves of the wind power output before and after flattening, the capacity configurations of the supercapacitors for the two scenarios are 24.06 MW , and 30.34 MW , the rationality and effectiveness of the proposed method in flattening the fluctuations are verified. |
| format | Article |
| id | doaj-art-cd2811e7666248fa802b84df4c1cc088 |
| institution | Kabale University |
| issn | 2708-9967 2708-9975 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Tamkang University Press |
| record_format | Article |
| series | Journal of Applied Science and Engineering |
| spelling | doaj-art-cd2811e7666248fa802b84df4c1cc0882025-08-20T03:27:06ZengTamkang University PressJournal of Applied Science and Engineering2708-99672708-99752025-06-0129112913810.6180/jase.202601_29(1).0013Optimal allocation of supercapacitor energy storage system capacity for mitigating wind power fluctuationsGe Cao0Yifeng Dang1Shaoxiong Guo2Yan Liang3Rong Jia4School of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, ChinaSchool of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, ChinaXi’an Power Supply Company of State Grid Shaanxi Electric Power Company, Xi’an 710032, ChinaXi’an Power Supply Company of State Grid Shaanxi Electric Power Company, Xi’an 710032, ChinaSchool of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, ChinaUnder the background of "double carbon", the installed capacity of wind power grows year by year, characterized by intermittency and volatility, bringing challenges to the reliable operation of the power system. This study proposes an optimal capacity configuration method for supercapacitor energy storage systems (SCES) to mitigate wind power fluctuations and maintain power system stability. The initial wind power curves are first analyzed and processed using empirical modal analysis to obtain a series of intrinsic modal functions at different frequencies, distinguishing between lowfrequency and high-frequency signals, which are reconstructed. Secondly, Leigh takes the minimization of the fluctuation volume and investment and operation cost of the supercapacitor energy storage system as the objective function and establishes the capacity allocation model of the supercapacitor energy storage system based on the power generation constraints and energy balance constraints of the supercapacitor energy storage system; Finally, the computational analysis was performed by actual area data, and the K-means algorithm was used to solve for grouping the data points into clusters, reconstructing each typical day and setting the maximum fluctuation limit. The proposed capacity allocation model is utilized to flatten the wind power data, and by comparing the grid-connected power curves of the wind power output before and after flattening, the capacity configurations of the supercapacitors for the two scenarios are 24.06 MW , and 30.34 MW , the rationality and effectiveness of the proposed method in flattening the fluctuations are verified.http://jase.tku.edu.tw/articles/jase-202601-29-01-0013supercapacitorfluctuation smoothingenergy storagek-means algorithm |
| spellingShingle | Ge Cao Yifeng Dang Shaoxiong Guo Yan Liang Rong Jia Optimal allocation of supercapacitor energy storage system capacity for mitigating wind power fluctuations Journal of Applied Science and Engineering supercapacitor fluctuation smoothing energy storage k-means algorithm |
| title | Optimal allocation of supercapacitor energy storage system capacity for mitigating wind power fluctuations |
| title_full | Optimal allocation of supercapacitor energy storage system capacity for mitigating wind power fluctuations |
| title_fullStr | Optimal allocation of supercapacitor energy storage system capacity for mitigating wind power fluctuations |
| title_full_unstemmed | Optimal allocation of supercapacitor energy storage system capacity for mitigating wind power fluctuations |
| title_short | Optimal allocation of supercapacitor energy storage system capacity for mitigating wind power fluctuations |
| title_sort | optimal allocation of supercapacitor energy storage system capacity for mitigating wind power fluctuations |
| topic | supercapacitor fluctuation smoothing energy storage k-means algorithm |
| url | http://jase.tku.edu.tw/articles/jase-202601-29-01-0013 |
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