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Physical Model-Based VDCM Control to Enhance the Inertia of DC Bus for PV-BESS Supported Off-Board Charging Station | IEEE Journals & Magazine | IEEE Xplore

Physical Model-Based VDCM Control to Enhance the Inertia of DC Bus for PV-BESS Supported Off-Board Charging Station


Abstract:

In renewable-based charging stations (CSs), the inherent inertia of dc bus from linked capacitors is very low. The dc-link voltage stability is vulnerable to power oscill...Show More

Abstract:

In renewable-based charging stations (CSs), the inherent inertia of dc bus from linked capacitors is very low. The dc-link voltage stability is vulnerable to power oscillations caused by step load changes (constant current (CC) mode) at CS by connecting and unplugging electric vehicle (EV) and intermittent renewable power. An inertia and damping control is proposed in this article based on the physical model of a virtual dc machine (VDCM) for a dc microgrid (DCMG) formed for CS. The proposed control technique was developed using the capacitors’ conversion forms for charging and discharging as the generation and motoring mode of VDCM. It intends to regulate the exterior characteristics of converters connected to the battery energy storage system (BESS) to enhance the damping and inertia properties of the dc grid. The small-signal model of the presented control method is built to analyze the system dynamics response, stability, and parameter range of VDCM. Furthermore, decentralized power-sharing control is also tested for the multiple parallel operations of storage, photovoltaic (PV), and CS extension. The simulation results demonstrate that BESS with VDCM control enhances the voltage characteristics and stability of DCMG with or without the grid. Finally, the proposed system is validated through detailed experimental studies.
Published in: IEEE Transactions on Transportation Electrification ( Volume: 10, Issue: 2, June 2024)
Page(s): 4334 - 4346
Date of Publication: 19 September 2023

ISSN Information:

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I. Introduction

Environmental issues are the leading force toward revolutionizing energy generation sources and consumption methods. The share of renewable-based clean energy generation is increasing rapidly to tackle these problems. At the same time, the transportation sector is speedily moving toward clean energy-based vehicles. The increasing popularity of RESs and the expansion of EVs have been acknowledged as successful strategies to reduce the reliance on fossil fuels and achieve sustainable development [1].

Select All
1.
J. Ugirumurera and Z. J. Haas, "Optimal capacity sizing for completely green charging systems for electric vehicles", IEEE Trans. Transport. Electrific., vol. 3, no. 3, pp. 565-577, Sep. 2017.
2.
F. Ahmad, M. S. Alam, S. M. Shariff and M. Krishnamurthy, "A cost-efficient approach to EV charging station integrated community microgrid: A case study of Indian power market", IEEE Trans. Transport. Electrific., vol. 5, no. 1, pp. 200-214, Mar. 2019.
3.
F. Jiao, Y. Zou, X. Zhang and B. Zhang, "A three-stage multitimescale framework for online dispatch in a microgrid with EVs and renewable energy", IEEE Trans. Transport. Electrific., vol. 8, no. 1, pp. 442-454, Mar. 2022.
4.
Z. Moghaddam, I. Ahmad, D. Habibi and Q. V. Phung, "Smart charging strategy for electric vehicle charging stations", IEEE Trans. Transport. Electrific., vol. 4, no. 1, pp. 76-88, Mar. 2018.
5.
M. Khalid, F. Ahmad, B. K. Panigrahi and H. Rahman, "A capacity efficient power distribution network supported by battery swapping station", Int. J. Energy Res., vol. 46, no. 4, pp. 4879-4894, Mar. 2022.
6.
Z. Wang, H. Yi, F. Zhuo, J. Wu and C. Zhu, "Analysis of parameter influence on transient active power circulation among different generation units in microgrid", IEEE Trans. Ind. Electron., vol. 68, no. 1, pp. 248-257, Jan. 2021.
7.
A. Kazemtarghi, A. Chandwani, N. Ishraq and A. Mallik, "Active compensation-based harmonic reduction technique to mitigate power quality impacts of EV charging systems", IEEE Trans. Transport. Electrific., vol. 9, no. 1, pp. 1629-1640, Mar. 2023.
8.
H. Yang, T. Li, Y. Long, C. L. P. Chen and Y. Xiao, "Distributed virtual inertia implementation of multiple electric springs based on model predictive control in DC microgrids", IEEE Trans. Ind. Electron., vol. 69, no. 12, pp. 13439-13450, Dec. 2022.
9.
G. Lin et al., "A virtual inertia and damping control to suppress voltage oscillation in islanded DC microgrid", IEEE Trans. Energy Convers., vol. 36, no. 3, pp. 1711-1721, Sep. 2021.
10.
A. González-Cajigas, J. Roldán-Pérez and E. J. Bueno, "Design and analysis of parallel-connected grid-forming virtual synchronous machines for island and grid-connected applications", IEEE Trans. Power Electron., vol. 37, no. 5, pp. 5107-5121, May 2022.
11.
K. Satpathi, A. Ukil, J. Pou and M. A. Zagrodnik, "Design analysis and comparison of automatic flux regulator with automatic voltage regulator-based generation system for DC marine vessels", IEEE Trans. Transport. Electrific., vol. 4, no. 3, pp. 694-706, Sep. 2018.
12.
W. Wu et al., "A virtual inertia control strategy for DC microgrids analogized with virtual synchronous machines", IEEE Trans. Ind. Electron., vol. 64, no. 7, pp. 6005-6016, Jul. 2017.
13.
S. Wang, J. Hu, X. Yuan and L. Sun, "On inertial dynamics of virtual-synchronous-controlled DFIG-based wind turbines", IEEE Trans. Energy Convers., vol. 30, no. 4, pp. 1691-1702, Dec. 2015.
14.
R. R. Deshmukh and M. S. Ballal, "Improved dynamic response of DC microgrid under transient condition using inertia by virtual generation", IEEE Access, vol. 9, pp. 86739-86750, 2021.
15.
P. Zhao et al., "Distributed power sharing control based on adaptive virtual impedance in seaport microgrids with cold ironing", IEEE Trans. Transport. Electrific., vol. 9, no. 2, pp. 2472-2485, Jun. 2023.
16.
M. J. Carrizosa, A. Iovine, G. Damm and P. Alou, "Droop-inspired nonlinear control of a DC microgrid for integration of electrical mobility providing ancillary services to the AC main grid", IEEE Trans. Smart Grid, vol. 13, no. 5, pp. 4113-4122, Sep. 2022.
17.
M. Khalid and B. K. Panigrahi, "SoC-based decentralized power management in multi BESS-PV for EVs charging applications", Proc. IEEE Global Conf. Comput. Power Commun. Technol. (GlobConPT), pp. 1-6, Sep. 2022.
18.
L. He, Y. Li, J. M. Guerrero and Y. Cao, "A comprehensive inertial control strategy for hybrid AC/DC microgrid with distributed generations", IEEE Trans. Smart Grid, vol. 11, no. 2, pp. 1737-1747, Mar. 2020.
19.
S. Chowdhury, M. N. B. Shaheed and Y. Sozer, "State-of-charge balancing control for modular battery system with output DC bus regulation", IEEE Trans. Transport. Electrific., vol. 7, no. 4, pp. 2181-2193, Dec. 2021.
20.
N. Zhi, K. Ding, L. Du and H. Zhang, "An SOC-based virtual DC machine control for distributed storage systems in DC microgrids", IEEE Trans. Energy Convers., vol. 35, no. 3, pp. 1411-1420, Sep. 2020.
21.
N. Zhi, X. Ming, Y. Ding, L. Du and H. Zhang, "Power-loop-free virtual DC machine control with differential compensation", IEEE Trans. Ind. Appl., vol. 58, no. 1, pp. 413-422, Jan. 2022.
22.
G. Lin, C. Rehtanz, J. Liu and Y. Zhou, "Analysis of impedance characteristic and wideband oscillation mechanism of charging station DC-MG with virtual inertia", Proc. 46th Annu. Conf. IEEE Ind. Electron. Soc. (IECON), pp. 2889-2894, 2020.
23.
Y. Guo, J. Meng, Y. Wang and C. Wang, "A virtual DC machine control strategy for dual active bridge DC–DC converter", Proc. IEEE Innov. Smart Grid Technol. Asia (ISGT Asia), pp. 2384-2388, 2019.
24.
S. Samanta, J. P. Mishra and B. K. Roy, "Virtual DC machine: An inertia emulation and control technique for a bidirectional DC–DC converter in a DC microgrid", IET Electric Power Appl., vol. 12, no. 6, pp. 874-884, Jul. 2018.
25.
X. Zhu, F. Meng, Z. Xie and Y. Yue, "An inertia and damping control method of DC–DC converter in DC microgrids", IEEE Trans. Energy Convers., vol. 35, no. 2, pp. 799-807, Jun. 2020.

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References

References is not available for this document.