An SOC-Based Switching Functions Double-Layer Hierarchical Control for Energy Storage Systems in DC Microgrids

Shu-Ran Wang1, Zhan-Shan Wang1, Xiao-Lu Ye1
1College of Information Science and Engineering, Northeastern University, Shenyang, China

Tóm tắt

In order to improve the control performance of state-of-charge (SOC) balance control and expand the application scenarios of SOC balance control, in this paper, an SOC-based switching functions double-layer hierarchical control is proposed for distributed energy storage systems in DC microgrids. Firstly, the switching functions in the primary layer of double-layer hierarchical control, which is defined as droop coefficient in the droop control, is divided into two SOC-related functions. The first one in the switching functions is a composite exponential function with power function and nonlinear function. The second one in the switching functions is a nonlinear function with a capacity balance factor. Since the composite function is very sensitive to the change of SOC, it can speed up the time of SOC balance. It plays a positive role in solving the rapid SOC balance problem between energy storage units. In addition, the nonlinear function with a capacity balance factor is designed to reduce the steady state deviation of SOC. Capacity balance factor is a weighting coefficient related to capacity, under which this control can ignore the limitation of capacity problem on SOC balance to expand the application scenarios. Secondly, a voltage restoration controller is introduced in the second layer of double-layer hierarchical control. The voltage restoration controller can compensate the voltage deviation caused by the primary layer, therefore, the bus voltage can maintain at the normal value. Finally, simulation results show the effectiveness and feasibility of the proposed scheme.

Từ khóa


Tài liệu tham khảo

Wang R, Sun Q, Hu W et al (2021) SoC-based droop coefficients stability region analysis of the battery for stand-alone supply systems with constant power loads. IEEE Trans Power Elecr 36(7):7866–7879 Huang ZJ, Wang ZS, Liu L (2019) A practical fault diagnosis algorithm based on aperiodic corrected-second low frequency processing for microgrid inverter. IEEE Trans Ind Inform 15(7):3889–3898 Yao X, Shao Y, Fan S, Cao S (2022) Echo state network with multiple delayed outputs for multiple delayed time series prediction. Journal Franklin I 359(18):11089–11107 Yang DS, Sun YH, Zhou BW et al (2020) Critical nodes identification of complex power systems based on electric cactus structure. IEEE Syst J 14(3):4477–4488 Li X, Zheng TY, Guo PF et al (2023) Decentralized multiple control for DC microgrid with hybrid energy storage. J Elect Eng Technol 18:1301–1311 Guo CS, Liao JQ, Zhang Y (2022) Adaptive droop control of unbalanced voltage in the multi-node bipolar DC microgrid based on fuzzy control. Int J Elec Power 142:108300 Maurya R, Prakash S, Singh AK (2023) Challenges, configuration, control, and scope of DC microgrid systems: a review. J Elect Eng Technol 18:1655–1674 Wang B, Zhang C, Dong ZY (2020) Interval optimization based coordination of demand response and battery energy storage system considering SOC management in a microgrid. IEEE Trans Sustain Energ 11(4):2922–2931 Maharjan L, Inoue S, Akagi H et al (2009) State-of-charge (SOC) balancing control of a battery energy storage system based on a cascade PWM converter. IEEE Trans Power Elecr 24(6):1628–1636 Alidrissi Y, Ouladsine R, Elmouatamid A et al (2021) An energy management strategy for DC microgrids with PV/battery systems. J Elect Eng Technol 16:1285–1296 Lu XN, Sun K, Guerrero JM et al (2014) State-of-charge balance using adaptive droop control for distributed energy storage systems in DC microgrid applications. IEEE Trans Ind Electron 61(6):2084–2015 Wu TZ, Ji F, Liao L, Chang C (2019) Voltage-SOC balancing control scheme for series-connected lithium-ion battery packs. J Energy Storage 25:100895 Michaelson D, Mahmood H, Jiang J (2017) A predictive energy management system using pre-emptive load shedding for islanded photovoltaic microgrids. IEEE Trans Ind Electron 64(7):5440–5448 Li XJ, Wang SX (2021) Energy management and operational control methods for grid battery energy storage systems. CSEE J Power and Energy 7(5):1026–1040 Wang ZY, Chen B, Wang JH et al (2016) Decentralized energy management system for networked microgrids in grid-connected and islanded modes. IEEE Trans Smart Grid 7(2):1097–1105 Mahmood H, Blaabjerg F (2022) Autonomous power management of distributed energy storage systems in islanded microgrids. IEEE Trans Sustain Energ 13(3):1507–1522 Mi Y, Wu YW, Bi CY, et al. (2016) The fuzzy droop control design for storage system of DC microgrid. In: IEEE 28th Chinese control and decision conference, Yinchuan, China, pp 6100–6104 Prieto-Araujo E, Egea-Alvarez A, Fekriasl S et al (2016) DC voltage droop control design for multiterminal HVDC systems considering AC and DC grid dynamics. IEEE Trans Power Deliver 31(2):575–585 Chen F, Burgos R, Boroyevich D et al (2019) Investigation of nonlinear droop control in DC power distribution systems: load sharing, voltage regulation, efficiency, and stability. IEEE Trans Power Electr 34(10):9404–9421 Tah A, Das D (2016) An enhanced droop control method for accurate load sharing and voltage improvement of isolated and interconnected DC microgrids. IEEE Trans Sustain Energ 7(3):1194–1204 Li C D, Dragicevic T, Diaz N L, et al. (2014) Voltage scheduling droop control for State-of-Charge balance of distributed energy storage in DC microgrids. In: IEEE international energy conference and exhibition, Cavtat, Croatia, pp 1310–1314 Jia L P, Du CS, Zhang CH, et al. (2017) An ESU SoC balancing control method with output current ripple suppression ability in DC microgrid. In: 36th Chinese control conference, Dalian, China, pp 9091–9095 Sun XF, Hao YC, Wu QF et al (2017) A multifunctional and wireless droop control for distributed energy storage units in islanded AC microgrid applications. IEEE Trans Power Electr 32(1):36–751 Yang Q, Jiang L, Zhao HL et al (2018) Autonomous voltage regulation and current sharing in islanded multi-inverter DC microgrid. IEEE Trans Smart Grid 9(6):6429–6437 Panda M, Bhaskar DV, Maity T (2022) An efficient SoC-balancing based power management strategy for interconnected subgrids of DC microgrid. J Energy Storage 50:104287 Zhang QJ, Qu TD, Liu YC et al (2023) An improved SoC balancing strategy for battery energy storage system in all-electric propulsion ships current sharing effect. J Elect Eng Technol 18(3):2061–2074 Zhang J, Csank JT, Soeder JF (2021) Hierarchical control of distributed battery energy storage system in a DC microgrid. In: IEEE 4th International Conference on DC Microgrids, Arlington, USA, pp 18–21 Hu D, Peng YG, Wei W et al (2020) Distributed secondary control for state of charge balancing with virtual impedance adjustment in a DC microgrid. Energies 13(2):1736–1749 Yang Y, Tan SC, Hui SYR (2021) State-of-charge balance control of distributed battery systems with distinct state-of-health in DC microgrids. In: IEEE IAS conference on industrial and commercial power System Asia, Chengdu, China, pp 140–144 Mi Y, Deng J, Wang XM et al (2023) Multiagent distributed secondary control for energy storage systems with lossy communication networks in DC microgrid. IEEE Trans Smart Grid 14(3):1736–1749 Liu Y H, Zhang N, and Xu Z (2012) Research on grid-connected/islanding smooth switching of microgrid based on energy storage. In: IEEE international conference on power system technology, Auckland, New Zealand Hoang KD, Lee HH (2019) Accurate power sharing with balanced battery state of charge in distributed DC microgrid. IEEE Trans Ind Electron 66(3):1883–1893 Oliveira TR, Silva WWAG, Donoso-Garcia PF et al (2017) Distributed secondary level control for energy storage management in DC microgrids. IEEE Trans Smart Grid 8(6):2597–2607 Sahoo S, Mishra S, Jha S et al (2020) A cooperative adaptive droop based energy management and optimal voltage regulation scheme for DC microgrids. IEEE Trans Ind Electron 67(4):2894–2904 Hajebrahimi H, Kaviri SM, Eren S et al (2020) A new energy management control method for energy storage systems in microgrids. IEEE Trans Power Electr 35(11):11612–11624 Lu XN, Sun K, Guerrero JM et al (2015) Double-quadrant state-of-charge-based droop control method for distributed energy storage systems in autonomous DC microgrids. IEEE Trans Smart Grid 6(1):147–157 Wang C, Zhang Y, Meng JH, et al. (2019) State-of-charge dynamic balancing control for multi-energy storage units in DC distribution system. IEEE Innovative Smart Grid Technologies, Beijing, China Na Z, Ding K, Zhang H (2020) An SOC-based virtual DC machine control for distributed storage systems in DC microgrids. IEEE Trans Energy Conver 35(3):1411–1420 Liang H, Guo L, Song JH et al (2018) State-of-charge balancing control of a modular multilevel converter with an integrated battery energy storage. Energies 11(4):873 Lin X, Zamora R, Baguley CA (2021) A fully filter-based decentralized control with state of charge balancing strategy for battery energy storage systems in autonomous DC microgrid applications. IEEE Access 9:5028–15040 Eydi M, Ghazi R (2020) Control strategy to improve load/power sharing, DC bus voltage restoration, and batteries SOC balancing in a DC microgrid. IET Renew Power Gen 14(4):2668–2679 Morstyn T, Savkin AV, Hredzak B et al (2017) Multi-agent sliding mode control for state of charge balancing between battery energy storage systems distributed in a DC microgrid. IEEE Trans Smart Grid 9(5):4735–4743 Qays MO, Buswig Y, Hossain ML et al (2022) Recent progress and future trends on the state of charge estimation methods to improve battery-storage efficiency: a review. CSEE J Power Energy 8(1):105–114 Wu QF, Guan RZ, Sun XF et al (2018) SoC balancing strategy for multiple energy storage units with different capacities in islanded microgrids based on droop control. IEEE J Em Sel Top P 6(4):1932–1941