Optimal Operation Parameter Estimation of Energy Storage for Frequency Regulation
This study proposes a method for optimally selecting the operating parameters of an energy storage system (ESS) for frequency regulation (FR) in an electric power system. First, the method allows the optimal objective function of the selected parameters to be set in a flexible manner according to th...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-05-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/12/9/1782 |
| _version_ | 1798039887470919680 |
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| author | Sung-Min Cho Jin-Su Kim Jae-Chul Kim |
| author_facet | Sung-Min Cho Jin-Su Kim Jae-Chul Kim |
| author_sort | Sung-Min Cho |
| collection | DOAJ |
| description | This study proposes a method for optimally selecting the operating parameters of an energy storage system (ESS) for frequency regulation (FR) in an electric power system. First, the method allows the optimal objective function of the selected parameters to be set in a flexible manner according to the electric market environment. The objective functions are defined so that they could be used under a variety of electricity market conditions. Second, evaluation frequencies are created in order to simulate the overall lifespan of the FR-ESS. Third, calendar and cycle degradation models are applied to the battery degradation, and are incorporated into evaluations of the degradation progress during the entire FR-ESS lifespan to obtain more accurate results. A calendar life limit is set, and the limit is also considered in the objective function evaluations. Fourth, an optimal parameter calculation algorithm, which uses the branch-and-bound method, is proposed to calculate the optimal parameters. A case study analyzes the convergence of the proposed algorithm and the results of the algorithm under various conditions. The results confirmed that the proposed algorithm yields optimal parameters that are appropriate according to the objective function and lifespan conditions. We anticipate that the proposed FR-ESS algorithm will be beneficial in establishing optimal operating strategies. |
| first_indexed | 2024-04-11T21:59:53Z |
| format | Article |
| id | doaj.art-d157a48df72b44c89f275935b41e0c3e |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T21:59:53Z |
| publishDate | 2019-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-d157a48df72b44c89f275935b41e0c3e2022-12-22T04:00:59ZengMDPI AGEnergies1996-10732019-05-01129178210.3390/en12091782en12091782Optimal Operation Parameter Estimation of Energy Storage for Frequency RegulationSung-Min Cho0Jin-Su Kim1Jae-Chul Kim2Korea Electric Power Research Institute (KEPRI), Korea Electric Power Company (KEPCO), 105 Munji-Ro, Yuseong-gu, Daejeon 34056, KoreaDepartment of Electrical Engineering, Soongsil University, 369, Sangdo-ro Dongjak-gu, Seoul 06978, KoreaDepartment of Electrical Engineering, Soongsil University, 369, Sangdo-ro Dongjak-gu, Seoul 06978, KoreaThis study proposes a method for optimally selecting the operating parameters of an energy storage system (ESS) for frequency regulation (FR) in an electric power system. First, the method allows the optimal objective function of the selected parameters to be set in a flexible manner according to the electric market environment. The objective functions are defined so that they could be used under a variety of electricity market conditions. Second, evaluation frequencies are created in order to simulate the overall lifespan of the FR-ESS. Third, calendar and cycle degradation models are applied to the battery degradation, and are incorporated into evaluations of the degradation progress during the entire FR-ESS lifespan to obtain more accurate results. A calendar life limit is set, and the limit is also considered in the objective function evaluations. Fourth, an optimal parameter calculation algorithm, which uses the branch-and-bound method, is proposed to calculate the optimal parameters. A case study analyzes the convergence of the proposed algorithm and the results of the algorithm under various conditions. The results confirmed that the proposed algorithm yields optimal parameters that are appropriate according to the objective function and lifespan conditions. We anticipate that the proposed FR-ESS algorithm will be beneficial in establishing optimal operating strategies.https://www.mdpi.com/1996-1073/12/9/1782electrical energy storagefrequency regulationlithium-ion batterydegradation model |
| spellingShingle | Sung-Min Cho Jin-Su Kim Jae-Chul Kim Optimal Operation Parameter Estimation of Energy Storage for Frequency Regulation Energies electrical energy storage frequency regulation lithium-ion battery degradation model |
| title | Optimal Operation Parameter Estimation of Energy Storage for Frequency Regulation |
| title_full | Optimal Operation Parameter Estimation of Energy Storage for Frequency Regulation |
| title_fullStr | Optimal Operation Parameter Estimation of Energy Storage for Frequency Regulation |
| title_full_unstemmed | Optimal Operation Parameter Estimation of Energy Storage for Frequency Regulation |
| title_short | Optimal Operation Parameter Estimation of Energy Storage for Frequency Regulation |
| title_sort | optimal operation parameter estimation of energy storage for frequency regulation |
| topic | electrical energy storage frequency regulation lithium-ion battery degradation model |
| url | https://www.mdpi.com/1996-1073/12/9/1782 |
| work_keys_str_mv | AT sungmincho optimaloperationparameterestimationofenergystorageforfrequencyregulation AT jinsukim optimaloperationparameterestimationofenergystorageforfrequencyregulation AT jaechulkim optimaloperationparameterestimationofenergystorageforfrequencyregulation |