SOC Balancing and Coordinated Control Based on Adaptive Droop Coefficient Algorithm for Energy Storage Units in DC Microgrid

In order to achieve a state-of-charge (SOC) balance among multiple energy storage units (MESUs) in an islanded DC microgrid, a SOC balancing and coordinated control strategy based on the adaptive droop coefficient algorithm for MESUs is proposed. When the SOC deviation is significant, the droop coef...

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Bibliographic Details
Main Authors: Liu, G. (Author), Tian, G. (Author), Zhang, J. (Author), Zheng, Y. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Online Access:View Fulltext in Publisher
LEADER 03003nam a2200445Ia 4500
001 10.3390-en15082943
008 220517s2022 CNT 000 0 und d
020 |a 19961073 (ISSN) 
245 1 0 |a SOC Balancing and Coordinated Control Based on Adaptive Droop Coefficient Algorithm for Energy Storage Units in DC Microgrid 
260 0 |b MDPI  |c 2022 
856 |z View Fulltext in Publisher  |u https://doi.org/10.3390/en15082943 
520 3 |a In order to achieve a state-of-charge (SOC) balance among multiple energy storage units (MESUs) in an islanded DC microgrid, a SOC balancing and coordinated control strategy based on the adaptive droop coefficient algorithm for MESUs is proposed. When the SOC deviation is significant, the droop coefficient for an energy storage unit (ESU) with a higher (or lower) SOC is set to a minimum value when discharging (or charging). The ESU with the higher (or lower) SOC is controlled to discharge (or charge) with the rated power, while the other ESU compensates for the remaining power when the demanded discharging (or charging) power is greater than the rated power of the individual ESU. Otherwise, when the demanded discharging (or charging) power is lower than the rated power of either ESU, the ESU with the higher (or lower) SOC releases (or absorbs) almost all the required power while the other ESU barely absorbs or releases power, thus quickly realizing SOC balancing. When the SOC deviation is slight, the fuzzy logic algorithm dynamically adjusts the droop coefficient and changes the power distribution relationship to balance the SOC accurately. Furthermore, a bus voltage recovery control scheme is employed to regulate the bus voltage, thus improving the voltage quality. The energy coordinated management strategy is adopted to ensure the power balance and stabilize the bus voltage in the DC microgrid. A simulation model is built in MATLAB/Simulink, and the simulation results demonstrate the effectiveness of the proposed control strategy in achieving fast and accurate SOC balance and regulating the bus voltage. © 2022 by the authors. Licensee MDPI, Basel, Switzerland. 
650 0 4 |a Charge balancing 
650 0 4 |a Computer circuits 
650 0 4 |a coordinated control 
650 0 4 |a Coordinated control 
650 0 4 |a Co-ordinated control 
650 0 4 |a DC microgrid 
650 0 4 |a DC microgrid 
650 0 4 |a droop control 
650 0 4 |a Droop control 
650 0 4 |a energy management 
650 0 4 |a Energy management 
650 0 4 |a Energy storage 
650 0 4 |a Energy storage unit 
650 0 4 |a Fuzzy logic 
650 0 4 |a fuzzy logic algorithm 
650 0 4 |a Fuzzy logic algorithms 
650 0 4 |a MATLAB 
650 0 4 |a Microgrid 
650 0 4 |a Microgrids 
650 0 4 |a Quality control 
650 0 4 |a SOC balancing 
650 0 4 |a State-of-charge balancing 
650 0 4 |a States of charges 
700 1 |a Liu, G.  |e author 
700 1 |a Tian, G.  |e author 
700 1 |a Zhang, J.  |e author 
700 1 |a Zheng, Y.  |e author 
773 |t Energies