A novel adaptive droop-based SoC balancing control strategy for distributed energy storage system in DC microgrid
To solve the problems of SoC imbalance, uneven current distribution and DC bus voltage deviation in microgrid energy storage system, an improved adaptive droop control strategy is proposed in this paper. In the primary control layer, a novel adaptive droop SoC balancing controller (ADSB) is designed...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-04-01
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| Series: | International Journal of Electrical Power & Energy Systems |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061525000651 |
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| author | Liangliang Guo Xinrui Liu Xinyu Li Rui Wang Hanwen Ren Zhiliang Wang Qiuye Sun |
| author_facet | Liangliang Guo Xinrui Liu Xinyu Li Rui Wang Hanwen Ren Zhiliang Wang Qiuye Sun |
| author_sort | Liangliang Guo |
| collection | DOAJ |
| description | To solve the problems of SoC imbalance, uneven current distribution and DC bus voltage deviation in microgrid energy storage system, an improved adaptive droop control strategy is proposed in this paper. In the primary control layer, a novel adaptive droop SoC balancing controller (ADSB) is designed to realize the adaptive change of droop coefficient by establishing the real-time relationship between SoC value and droop coefficient, so as to promote the SoC balance among distributed energy storage units (DESUs). In addition, based on the characteristics of hyperbolic tangent function (tanh), an adaptive acceleration term is introduced to further improve the balancing speed of SoC. In the secondary control layer, a virtual voltage equalization controller (VVEC) is designed to reduce the influence of line impedance on SoC balance. To solve the problem of bus voltage deviation in microgrid, a secondary average bus voltage compensator (ABVC) is designed. In order to realize low-bandwidth communication in sparse communication networks, multi-agent consensus algorithm (MACA) is used to perform local estimation of global mean variables. In addition, the stability analysis of the proposed control strategy is carried out to ensure the stable operation of the system in theory. Finally, the control method proposed in this paper is evaluated comprehensively on MATLAB/Simlink simulation platform and hardware-in-the-loop (HIL) experimental platform. The results show that, compared with the existing methods, the proposed control strategy can achieve SoC balance faster, has higher current allocation accuracy, and has better ability to maintain bus voltage stability. |
| format | Article |
| id | doaj-art-5683e158947a4a61b879188b6f881a89 |
| institution | Kabale University |
| issn | 0142-0615 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Electrical Power & Energy Systems |
| spelling | doaj-art-5683e158947a4a61b879188b6f881a892025-02-12T05:29:22ZengElsevierInternational Journal of Electrical Power & Energy Systems0142-06152025-04-01165110514A novel adaptive droop-based SoC balancing control strategy for distributed energy storage system in DC microgridLiangliang Guo0Xinrui Liu1Xinyu Li2Rui Wang3Hanwen Ren4Zhiliang Wang5Qiuye Sun6College of Information Science and Engineering, Northeastern University, Shenyang, 110819, Liaoning, ChinaCollege of Information Science and Engineering, Northeastern University, Shenyang, 110819, Liaoning, China; Corresponding author.College of Information Science and Engineering, Northeastern University, Shenyang, 110819, Liaoning, ChinaCollege of Information Science and Engineering, Northeastern University, Shenyang, 110819, Liaoning, ChinaState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Bejing, 102206, ChinaCollege of Information Science and Engineering, Northeastern University, Shenyang, 110819, Liaoning, ChinaCollege of Information Science and Engineering, Northeastern University, Shenyang, 110819, Liaoning, ChinaTo solve the problems of SoC imbalance, uneven current distribution and DC bus voltage deviation in microgrid energy storage system, an improved adaptive droop control strategy is proposed in this paper. In the primary control layer, a novel adaptive droop SoC balancing controller (ADSB) is designed to realize the adaptive change of droop coefficient by establishing the real-time relationship between SoC value and droop coefficient, so as to promote the SoC balance among distributed energy storage units (DESUs). In addition, based on the characteristics of hyperbolic tangent function (tanh), an adaptive acceleration term is introduced to further improve the balancing speed of SoC. In the secondary control layer, a virtual voltage equalization controller (VVEC) is designed to reduce the influence of line impedance on SoC balance. To solve the problem of bus voltage deviation in microgrid, a secondary average bus voltage compensator (ABVC) is designed. In order to realize low-bandwidth communication in sparse communication networks, multi-agent consensus algorithm (MACA) is used to perform local estimation of global mean variables. In addition, the stability analysis of the proposed control strategy is carried out to ensure the stable operation of the system in theory. Finally, the control method proposed in this paper is evaluated comprehensively on MATLAB/Simlink simulation platform and hardware-in-the-loop (HIL) experimental platform. The results show that, compared with the existing methods, the proposed control strategy can achieve SoC balance faster, has higher current allocation accuracy, and has better ability to maintain bus voltage stability.http://www.sciencedirect.com/science/article/pii/S0142061525000651DC microgridAdaptive droop controlSoC balanceAccurate current sharingBus voltage stability |
| spellingShingle | Liangliang Guo Xinrui Liu Xinyu Li Rui Wang Hanwen Ren Zhiliang Wang Qiuye Sun A novel adaptive droop-based SoC balancing control strategy for distributed energy storage system in DC microgrid International Journal of Electrical Power & Energy Systems DC microgrid Adaptive droop control SoC balance Accurate current sharing Bus voltage stability |
| title | A novel adaptive droop-based SoC balancing control strategy for distributed energy storage system in DC microgrid |
| title_full | A novel adaptive droop-based SoC balancing control strategy for distributed energy storage system in DC microgrid |
| title_fullStr | A novel adaptive droop-based SoC balancing control strategy for distributed energy storage system in DC microgrid |
| title_full_unstemmed | A novel adaptive droop-based SoC balancing control strategy for distributed energy storage system in DC microgrid |
| title_short | A novel adaptive droop-based SoC balancing control strategy for distributed energy storage system in DC microgrid |
| title_sort | novel adaptive droop based soc balancing control strategy for distributed energy storage system in dc microgrid |
| topic | DC microgrid Adaptive droop control SoC balance Accurate current sharing Bus voltage stability |
| url | http://www.sciencedirect.com/science/article/pii/S0142061525000651 |
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