Dead-Beat Control Cooperating with State Observer for Single-Phase Electric Springs
Source abstract
Abstract
Aiming at improving the performance of the existing for single-phase electric springs (ESs), such as the fastness of the voltage stabilization and the mitigation of the voltage harmonics across the critical loads (CLs), the dead-beat control cooperating with state observer is proposed in this paper. First, the δ control is reviewed, outlining its features of regulation of the CL voltage while keeping the ES operation stable. After describing the operation of an ES in the continuous-time domain by the state-space technique, its discrete-time model is formulated using the zero-order-hold (ZOH) algorithm. Then, the control system for an ES is designed around the dead-beat control cooperating with a state observer and implementing the two typical compensation functions achievable with the δ control, namely the pure reactive power compensation and the power factor correction. Results obtained by simulation demonstrate that the control system is able to both properly drive an ES and to implement the two functions. The results also show that the proposed control system has the advantage of eliminating harmonic components in CL voltage when grid voltage distorts.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Microgrid Control and Optimization · Photovoltaic System Optimization Techniques · Advanced DC-DC Converters
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Electrical Engineering, Southeast University, 2 SiPaiLou, Nanjing 210096, China
Department of Industrial Engineering, University of Padova, 35131 Padova, Italy
Funding
Natural Science Foundation of Jiangsu Province
References (18)
Show source-provided references
1. Electric springs—A new smart grid technology10.1109/TSG.2012.2200701 ↗
2. Steady-state analysis of electric springs with a novel δ control10.1109/TPEL.2015.2391278 ↗
3. General steady-state analysis and control principle of electric springs with active and reactive power compensations10.1109/TPEL.2012.2227823 ↗
4. Principle and design of a single-phase inverter based grounding system for neutral-to-ground voltage compensation in distribution networks10.1109/TIE.2016.2612180 ↗
5. Train-network interactions and stability evaluation in high-speed railways—Part I: Phenomena and modeling10.1109/TPEL.2017.2781880 ↗
6. Gong, Z., Wu, X., Dai, P., and Zhu, R. (2018). Modulated model predictive control for MMC-based active front-end rectifiers under unbalanced grid conditions. IEEE Trans. Ind. Electron.10.1109/TIE.2018.2844836 ↗
7. An estimator-based distributed voltage predictive control strategy for AC islanded microgrids10.1109/TPEL.2014.2345696 ↗
8. Hierarchy control of power quality for wind-battery energy storage system10.1049/iet-pel.2013.0654 ↗
9. Hierarchical control of droop-controlled AC and DC microgrids—A general approach toward standardization10.1109/TIE.2010.2066534 ↗
10. The state of the art of wind energy conversion systems and technologies: A review10.1016/j.enconman.2014.08.037 ↗
11. Dynamic modeling of electric springs10.1109/TSG.2014.2319858 ↗
12. Decoupled power angle and voltage control of electric springs10.1109/TPEL.2015.2424153 ↗
13. A simple active and reactive power control for applications of single-phase electric springs10.1109/TIE.2018.2793201 ↗
14. Mitigating voltage and frequency fluctuation in microgrids using electric springs10.1109/TSG.2014.2374231 ↗
15. Electric springs for reducing power imbalance in three-phase power systems10.1109/TPEL.2014.2350001 ↗
16. Dead-beat current controller for voltage-source converters with improved large-signal response
17. Assessing finite-control-set model predictive control: A comparison with a linear current controller in two-level voltage source inverters10.1109/MIE.2013.2294870 ↗
18. Wassinger, N., Penovi, E., Retegui, R.G., and Maestri, S. (2018). Open-circuit fault identification method for interleaved converters based on time domain analysis of the state observer residual. IEEE Trans. Power Electron.10.1109/TPEL.2018.2853574 ↗