Integrated control strategy of BESS in primary frequency modulation considering SOC recovery
Abstract This paper proposes a comprehensive control strategy for a battery energy storage system (BESS) participating in primary frequency modulation (FM) while considering the state of charge (SOC) recovery. On the one hand, when the frequency fluctuations are outside the dead zone of the FM, vari...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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Wiley
2024-04-01
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Series: | IET Renewable Power Generation |
Subjects: | |
Online Access: | https://doi.org/10.1049/rpg2.12959 |
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author | Yiqi Liu Meiru Chen Bing Xie Mingfei Ban |
author_facet | Yiqi Liu Meiru Chen Bing Xie Mingfei Ban |
author_sort | Yiqi Liu |
collection | DOAJ |
description | Abstract This paper proposes a comprehensive control strategy for a battery energy storage system (BESS) participating in primary frequency modulation (FM) while considering the state of charge (SOC) recovery. On the one hand, when the frequency fluctuations are outside the dead zone of the FM, variable coefficient virtual sag control and variable coefficient virtual inertia control are coordinated for more accurate primary FM. Also, an assisted FM strategy is proposed, where the temporal alignment of assisted FM is determined by the regional segmentation of the frequency deviation and SOC, and it enables the BESS to recover SOC concurrently during its involvement in primary FM. On the other hand, when the frequency fluctuations are inside the dead zone of the FM, typical S‐type functions are deployed to dynamically establish the mutual constraints relationships of SOC recovery demand coefficient and frequency deviation. Subsequently, the recovery control coefficients are derived, and accordingly, a SOC recovery strategy is proposed. Finally, simulation results verify the efficacy of the proposed control strategy in the grid primary FM system and demonstrate that the strategy expedites the SOC recovery and concurrently diminishes the conventional unit output. |
first_indexed | 2024-04-24T14:19:49Z |
format | Article |
id | doaj.art-db24fe35207a4b338a1d40df0ca46b19 |
institution | Directory Open Access Journal |
issn | 1752-1416 1752-1424 |
language | English |
last_indexed | 2024-04-24T14:19:49Z |
publishDate | 2024-04-01 |
publisher | Wiley |
record_format | Article |
series | IET Renewable Power Generation |
spelling | doaj.art-db24fe35207a4b338a1d40df0ca46b192024-04-03T07:32:56ZengWileyIET Renewable Power Generation1752-14161752-14242024-04-0118587588610.1049/rpg2.12959Integrated control strategy of BESS in primary frequency modulation considering SOC recoveryYiqi Liu0Meiru Chen1Bing Xie2Mingfei Ban3College of Computer and Control Engineering Northeast Forestry University Harbin ChinaCollege of Computer and Control Engineering Northeast Forestry University Harbin ChinaElectrical Power Research Institute, State Grid Liaoning Electric Power Co., Ltd Shenyang ChinaCollege of Computer and Control Engineering Northeast Forestry University Harbin ChinaAbstract This paper proposes a comprehensive control strategy for a battery energy storage system (BESS) participating in primary frequency modulation (FM) while considering the state of charge (SOC) recovery. On the one hand, when the frequency fluctuations are outside the dead zone of the FM, variable coefficient virtual sag control and variable coefficient virtual inertia control are coordinated for more accurate primary FM. Also, an assisted FM strategy is proposed, where the temporal alignment of assisted FM is determined by the regional segmentation of the frequency deviation and SOC, and it enables the BESS to recover SOC concurrently during its involvement in primary FM. On the other hand, when the frequency fluctuations are inside the dead zone of the FM, typical S‐type functions are deployed to dynamically establish the mutual constraints relationships of SOC recovery demand coefficient and frequency deviation. Subsequently, the recovery control coefficients are derived, and accordingly, a SOC recovery strategy is proposed. Finally, simulation results verify the efficacy of the proposed control strategy in the grid primary FM system and demonstrate that the strategy expedites the SOC recovery and concurrently diminishes the conventional unit output.https://doi.org/10.1049/rpg2.12959adaptive controlbattery management systemsenergy storageenergy storage technology |
spellingShingle | Yiqi Liu Meiru Chen Bing Xie Mingfei Ban Integrated control strategy of BESS in primary frequency modulation considering SOC recovery IET Renewable Power Generation adaptive control battery management systems energy storage energy storage technology |
title | Integrated control strategy of BESS in primary frequency modulation considering SOC recovery |
title_full | Integrated control strategy of BESS in primary frequency modulation considering SOC recovery |
title_fullStr | Integrated control strategy of BESS in primary frequency modulation considering SOC recovery |
title_full_unstemmed | Integrated control strategy of BESS in primary frequency modulation considering SOC recovery |
title_short | Integrated control strategy of BESS in primary frequency modulation considering SOC recovery |
title_sort | integrated control strategy of bess in primary frequency modulation considering soc recovery |
topic | adaptive control battery management systems energy storage energy storage technology |
url | https://doi.org/10.1049/rpg2.12959 |
work_keys_str_mv | AT yiqiliu integratedcontrolstrategyofbessinprimaryfrequencymodulationconsideringsocrecovery AT meiruchen integratedcontrolstrategyofbessinprimaryfrequencymodulationconsideringsocrecovery AT bingxie integratedcontrolstrategyofbessinprimaryfrequencymodulationconsideringsocrecovery AT mingfeiban integratedcontrolstrategyofbessinprimaryfrequencymodulationconsideringsocrecovery |