Voltage stability control strategy for DC microgrid based on adaptive virtual DC motor
Source abstract
Abstract
The large-scale integration of distributed energy sources and power electronic devices results in the DC microgrid exhibiting significant low inertia and weak damping characteristics. This, in turn, leads to inevitable fluctuations in the DC bus voltage, which endanger the stable operation of the DC system. Energy storage devices can provide equivalent inertia. To enhance the inertia and response speed of the DC bus interface converter, this paper proposes a power allocation parameter adaptive virtual DC motor control strategy based on a hybrid energy storage unit. The strategy introduces power allocation control to regulate the energy storage converter on the basis of virtual inertia parameter adaptive control, thereby enabling the energy storage converter to simulate the inertia and damping characteristics of a DC generator. The small-signal stability of the system is analyzed by establishing a small-signal model of the photovoltaic energy storage system and utilizing the impedance ratio criterion. Finally, the proposed control strategy is validated through simulation. The results demonstrate that the strategy effectively mitigates the fluctuations in bus voltage under varying photovoltaic power and sudden load changes, ensures the power distribution in the hybrid energy storage system, and enhances the dynamic response of the system.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Microgrid Control and Optimization · Power Systems and Renewable Energy · Smart Grid Energy Management
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Electrical Engineering & New Energy, China Three Gorges University 1 , Yichang 443002,
Electric Power Research Institute of State Grid Hubei Co., Ltd 2 , Wuhan 430077,
Funding
State Grid Hubei Electric Power Co.,Ltd.
References (28)
Show source-provided references
1. The perspective of energy poverty and 1st energy crisis of green transition10.1016/j.energy.2023.127487 ↗
2. Energy and sustainable development nexus: A review10.1016/j.esr.2023.101078 ↗
3. Planning and operation of new power system under the goal of ‘Dual Carbon’10.19705/j.cnki.issn2096-5125.2024.03.001 ↗
4. Life cycle assessment of energy storage technologies for new power systems under dual-carbon target: A review10.1002/ente.202301129 ↗
5. Planning and protection of DC microgrid: A critical review on recent developments10.1016/j.jestch.2023.101404 ↗
6. Power quality of DC microgrid: Index classification, definition, correlation analysis and cases study10.1016/j.ijepes.2024.109782 ↗
7. A review of long-term planning of new power systems with large share of renewable energy10.13334/j.0258-8013.pcsee.212716 ↗
8. Transient stabilization control of electric synchronous machine for preventing the collapse of DC-link voltage10.1109/tsg.2022.3187871 ↗
9. DC bus voltage stability control strategy for DC microgrid10.13335/j.1000-3673.pst.2020.2004 ↗
10. Robust control strategies for microgrids: A review10.1109/jsyst.2021.3077213 ↗
11. Dynamic stability analysis and self-adaptive voltage inertia control of DC microgrids with novel virtual machine10.13336/j.1003-6520.hve.20200799 ↗
12. Virtual capacitance control method of DC microgrid considering multiple constraints10.19595/j.cnki.1000-6753.tces.L90526 ↗
13. A comprehensive review of virtual synchronous generator10.1016/j.ijepes.2020.106006 ↗
14. Virtual synchronous generator: Modifications, stability assessment and future applications10.1016/j.egyr.2021.12.064 ↗
15. Comparative studies on damping control strategies for virtual synchronous generators10.1109/tpwrd.2023.3339288 ↗
16. Large-signal modeling and stable region estimation of DC microgrid with virtual DC machine control10.1016/j.ijepes.2023.109122 ↗
17. Virtual DC machine control strategy for bidirectional DC/DC converter simulating speed regulation characteristics of DC machine10.16081/j.epae.202209015 ↗
18. Research on virtual DC generator-based control strategy of DC microgrid with photovoltaic and energy storage10.32604/ee.2023.025976 ↗
19. Research on control strategy of PV system based on virtual DC generator10.13336/j.1003-6520.hve.20170628001 ↗
20. An SOC-based virtual DC machine control for distributed storage systems in DC microgrids10.1109/tec.2020.2975033 ↗
21. A new control technology based on virtual DC motor10.13334/j.0258-8013.pcsee.180782 ↗
22. Coordinated control of networked AC/DC microgrids with adaptive virtual inertia and governor-gain for stability enhancement10.1109/tec.2020.3011223 ↗
23. Parameter adaptive control strategy of virtual DC machine10.7500/AEPS20190909001 ↗
24. Parameter-adaptation-based virtual DC motor control method for energy storage converter10.1109/access.2021.3091699 ↗
25. Control strategy for a DC micro source virtual generator based on adaptive parameters10.19783/j.cnki.pspc.201512 ↗
26. SOC balanced power distribution strategy under the control of virtual DC generator10.13336/j.1003-6520.hve.20200988 ↗
27. Integration of DC microgrids as virtual synchronous machines into the AC grid10.1109/TIE.2017.2674621 ↗
28. Stability analysis of permanent magnet generator system with load current compensating method10.1109/tsg.2021.3112707 ↗