Power fluctuation and allocation of hybrid energy storage system based on optimal exponential smoothing method and energy entropy
Abstract In order to solve the problems of power quality reduction and power fluctuation caused by large‐scale wind power grid‐connected, an advanced control strategy to smooth the power fluctuation and allocation of hybrid energy storage system is proposed. Based on theoretical researches, the math...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-02-01
|
| Series: | IET Generation, Transmission & Distribution |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/gtd2.12041 |
| _version_ | 1811273358886567936 |
|---|---|
| author | Zheng Xidong Jiang Xiubo |
| author_facet | Zheng Xidong Jiang Xiubo |
| author_sort | Zheng Xidong |
| collection | DOAJ |
| description | Abstract In order to solve the problems of power quality reduction and power fluctuation caused by large‐scale wind power grid‐connected, an advanced control strategy to smooth the power fluctuation and allocation of hybrid energy storage system is proposed. Based on theoretical researches, the mathematical model of hybrid energy storage system is adopted to well analyse the fluctuation and smoothing strategy of wind power. Compared with the traditional filtering algorithms, the study proposes a method combined optimal exponential smoothing with complete ensemble empirical mode decomposition with adaptive noise and normalized energy entropy to improve the accuracy of grid‐connected output power and power allocation. Furthermore, the fuzzy control theory is used to improve the reliability of the algorithm after obtaining the smoothed power output and initial power allocation instructions. To prove the validity of the algorithm, case studies are constructed to demonstrate the performance in this paper. Experiments and example simulations show that the proposed method can effectively realize adaptive power allocation and improve the accuracy of identification. After effectively improving the efficiency and service life of the energy storage system, it provides a basis for large‐scale grid operation. |
| first_indexed | 2024-04-12T22:57:41Z |
| format | Article |
| id | doaj.art-3704b27ad7a1448cb0df460340a183d9 |
| institution | Directory Open Access Journal |
| issn | 1751-8687 1751-8695 |
| language | English |
| last_indexed | 2024-04-12T22:57:41Z |
| publishDate | 2021-02-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Generation, Transmission & Distribution |
| spelling | doaj.art-3704b27ad7a1448cb0df460340a183d92022-12-22T03:13:08ZengWileyIET Generation, Transmission & Distribution1751-86871751-86952021-02-0115353354510.1049/gtd2.12041Power fluctuation and allocation of hybrid energy storage system based on optimal exponential smoothing method and energy entropyZheng Xidong0Jiang Xiubo1College of Electrical Engineering and automation in Fuzhou University Fuzhou ChinaCollege of Electrical Engineering and automation in Fuzhou University Fuzhou ChinaAbstract In order to solve the problems of power quality reduction and power fluctuation caused by large‐scale wind power grid‐connected, an advanced control strategy to smooth the power fluctuation and allocation of hybrid energy storage system is proposed. Based on theoretical researches, the mathematical model of hybrid energy storage system is adopted to well analyse the fluctuation and smoothing strategy of wind power. Compared with the traditional filtering algorithms, the study proposes a method combined optimal exponential smoothing with complete ensemble empirical mode decomposition with adaptive noise and normalized energy entropy to improve the accuracy of grid‐connected output power and power allocation. Furthermore, the fuzzy control theory is used to improve the reliability of the algorithm after obtaining the smoothed power output and initial power allocation instructions. To prove the validity of the algorithm, case studies are constructed to demonstrate the performance in this paper. Experiments and example simulations show that the proposed method can effectively realize adaptive power allocation and improve the accuracy of identification. After effectively improving the efficiency and service life of the energy storage system, it provides a basis for large‐scale grid operation.https://doi.org/10.1049/gtd2.12041Wind power plantsOptimisation techniquesPower and energy controlControl of electric power systemsOther topics in statisticsOptimisation techniques |
| spellingShingle | Zheng Xidong Jiang Xiubo Power fluctuation and allocation of hybrid energy storage system based on optimal exponential smoothing method and energy entropy IET Generation, Transmission & Distribution Wind power plants Optimisation techniques Power and energy control Control of electric power systems Other topics in statistics Optimisation techniques |
| title | Power fluctuation and allocation of hybrid energy storage system based on optimal exponential smoothing method and energy entropy |
| title_full | Power fluctuation and allocation of hybrid energy storage system based on optimal exponential smoothing method and energy entropy |
| title_fullStr | Power fluctuation and allocation of hybrid energy storage system based on optimal exponential smoothing method and energy entropy |
| title_full_unstemmed | Power fluctuation and allocation of hybrid energy storage system based on optimal exponential smoothing method and energy entropy |
| title_short | Power fluctuation and allocation of hybrid energy storage system based on optimal exponential smoothing method and energy entropy |
| title_sort | power fluctuation and allocation of hybrid energy storage system based on optimal exponential smoothing method and energy entropy |
| topic | Wind power plants Optimisation techniques Power and energy control Control of electric power systems Other topics in statistics Optimisation techniques |
| url | https://doi.org/10.1049/gtd2.12041 |
| work_keys_str_mv | AT zhengxidong powerfluctuationandallocationofhybridenergystoragesystembasedonoptimalexponentialsmoothingmethodandenergyentropy AT jiangxiubo powerfluctuationandallocationofhybridenergystoragesystembasedonoptimalexponentialsmoothingmethodandenergyentropy |