A new approach to identify the optimum frequency ranges of the constituent storage devices of a hybrid energy storage system using the empirical mode decomposition technique
Empirical mode decomposition technique is used to extract the implicit mode components contained in the net power of a photovoltaic-powered nanogrid embedded within a microgrid. Statistical analysis of the magnitudes, instantaneous frequencies and energy contents of the components shows the dominanc...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
Elsevier
2022
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| Online Access: | http://purl.org/au-research/grants/arc/LP140100586 http://hdl.handle.net/20.500.11937/88117 |
| _version_ | 1848764964922195968 |
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| author | Hettiarachchi, Dilum Rajakaruna, Sumedha Choi, San Shing Ghosh, Arindam |
| author_facet | Hettiarachchi, Dilum Rajakaruna, Sumedha Choi, San Shing Ghosh, Arindam |
| author_sort | Hettiarachchi, Dilum |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Empirical mode decomposition technique is used to extract the implicit mode components contained in the net power of a photovoltaic-powered nanogrid embedded within a microgrid. Statistical analysis of the magnitudes, instantaneous frequencies and energy contents of the components shows the dominance of the daily and yearly cyclic modes. Taking into consideration the frequency range of the modes, smoothing of the high- and low-frequency mode components is then realized through the respective buffering actions of a supercapacitor and a battery in a hybrid energy storage system. The optimum frequency ranges of the supercapacitor and the battery to achieve the lowest cost per kWh storage capacity for the designed hybrid energy storage system are then determined in a direct and closed form. The proposed approach requires much reduced computational efforts, in comparison to existing methods which involve iterative search procedures. |
| first_indexed | 2025-11-14T11:27:44Z |
| format | Journal Article |
| id | curtin-20.500.11937-88117 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:27:44Z |
| publishDate | 2022 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-881172022-03-28T00:49:49Z A new approach to identify the optimum frequency ranges of the constituent storage devices of a hybrid energy storage system using the empirical mode decomposition technique Hettiarachchi, Dilum Rajakaruna, Sumedha Choi, San Shing Ghosh, Arindam Empirical mode decomposition technique is used to extract the implicit mode components contained in the net power of a photovoltaic-powered nanogrid embedded within a microgrid. Statistical analysis of the magnitudes, instantaneous frequencies and energy contents of the components shows the dominance of the daily and yearly cyclic modes. Taking into consideration the frequency range of the modes, smoothing of the high- and low-frequency mode components is then realized through the respective buffering actions of a supercapacitor and a battery in a hybrid energy storage system. The optimum frequency ranges of the supercapacitor and the battery to achieve the lowest cost per kWh storage capacity for the designed hybrid energy storage system are then determined in a direct and closed form. The proposed approach requires much reduced computational efforts, in comparison to existing methods which involve iterative search procedures. 2022 Journal Article http://hdl.handle.net/20.500.11937/88117 10.1016/j.est.2022.104285 http://purl.org/au-research/grants/arc/LP140100586 Elsevier restricted |
| spellingShingle | Hettiarachchi, Dilum Rajakaruna, Sumedha Choi, San Shing Ghosh, Arindam A new approach to identify the optimum frequency ranges of the constituent storage devices of a hybrid energy storage system using the empirical mode decomposition technique |
| title | A new approach to identify the optimum frequency ranges of the constituent storage devices of a hybrid energy storage system using the empirical mode decomposition technique |
| title_full | A new approach to identify the optimum frequency ranges of the constituent storage devices of a hybrid energy storage system using the empirical mode decomposition technique |
| title_fullStr | A new approach to identify the optimum frequency ranges of the constituent storage devices of a hybrid energy storage system using the empirical mode decomposition technique |
| title_full_unstemmed | A new approach to identify the optimum frequency ranges of the constituent storage devices of a hybrid energy storage system using the empirical mode decomposition technique |
| title_short | A new approach to identify the optimum frequency ranges of the constituent storage devices of a hybrid energy storage system using the empirical mode decomposition technique |
| title_sort | new approach to identify the optimum frequency ranges of the constituent storage devices of a hybrid energy storage system using the empirical mode decomposition technique |
| url | http://purl.org/au-research/grants/arc/LP140100586 http://hdl.handle.net/20.500.11937/88117 |