Advanced Robust and Optimal Control for Power Converters in Renewable Energy Generation Systems

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".

Deadline for manuscript submissions: closed (15 March 2024) | Viewed by 3700

Special Issue Editors


grade E-Mail Website
Guest Editor
Department of Control Science and Engineering, Harbin Institute of Technology, Harbin 150000, China
Interests: renewable energy systems; nonlinear control systems; intelligent systems; robot technology
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Electronic Engineering, University of Seville, 41092 Seville, Spain
Interests: multilevel converters; renewable energy; modulation techniques
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Control Science and Engineering, Harbin Institute of Technology, Harbin 150000, China
Interests: sliding mode control; nonlinear control; observation methods and their applications in power electronic systems

Special Issue Information

Dear Colleagues, 

Worldwide energy shortages coupled with environmental pollution have promoted the development of renewable energy sources. With increased access to renewable energy sources, the traditional power system is gradually transforming into a low-carbon power system. Thus, it is necessary to build a new power system dominated by renewable energy sources. The power electronic converter is the key device for realizing the source–network–load link of this new power system. With access to a large number of power electronic converters, electronized power has become one of the main features of the new power system. In grid-connected renewable energy generation systems, most power converters are regulated by cascaded linear control due to its easy-implementation and guaranteed performance. However, such control is sensitive to unknown disturbances and is inflexible. As a result, the design of advanced robust and optimal control strategies has been one of the main directions of the research community in the power electronics control area.

This Special Issue aims to highlight the latest developments in advanced robust and optimal-control power converters in renewable energy generation systems to study and improve their robustness, reliability, and other performance metrics.

We encourage all researchers working in this area to submit papers to this Special Issue. Topics of interest include, but are not limited to:

  • Advanced robust and optimal control for power converters;
  • Model predictive control for power converters;
  • Novel converter topologies and their control in renewable energy generation systems;
  • Maximum power point tracking techniques for photovoltaic applications and wind turbines;
  • Application of machine learning to control power converters in renewable energy generation systems.

Prof. Dr. Jianxing Liu
Prof. Dr. Jose Ignacio Leon Galvan
Dr. Xiaoning Shen
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • power converters
  • renewable energy generation systems
  • robust control
  • optimal control

Published Papers (3 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

20 pages, 10928 KiB  
Article
Seamless Switching Control Strategy for a Power Conversion System in a Microgrid Based on Extended State Observer and Super-Twisting Algorithm
by Jiayu Kang, Ye Wang, Jiachen Wang and Baoquan Liu
Electronics 2024, 13(9), 1708; https://doi.org/10.3390/electronics13091708 - 29 Apr 2024
Viewed by 438
Abstract
Microgrids can operate stably in both islanded and grid-connected modes, and the transition between these modes enhances system reliability and flexibility, enabling microgrids to adapt to diverse operational requirements and environmental conditions. The switching process, however, may introduce transient voltage and frequency fluctuations, [...] Read more.
Microgrids can operate stably in both islanded and grid-connected modes, and the transition between these modes enhances system reliability and flexibility, enabling microgrids to adapt to diverse operational requirements and environmental conditions. The switching process, however, may introduce transient voltage and frequency fluctuations, causing voltage and current shocks to the grid and potentially damaging devices and systems connected to the microgrid. To address this issue, this study introduces a novel approach based on the Extended State Observer (ESO) and the Super-Twisting Algorithm (STA). Power conversion systems use Virtual Synchronous Generator (VSG) control and Power-Quality (PQ) control when they are connected to the grid or when the microgrid is not connected to the grid. VSG and PQ share a current loop. Transitioning the reference current generated by the outer loop achieves the switching of control strategies. A real-time observer is designed to estimate and compensate for current fluctuations, disturbances, and variations in id, iq, and system parameters during the switching process to facilitate a smooth transition of control strategies. Furthermore, to enhance the dynamic response and robustness of the system, the Proportional–Integral (PI) controller in the ESO is replaced with a novel super-twisting sliding mode controller based on a boundary layer. The Lyapunov stability principle is applied to ensure asymptotic stability under disturbances. The proposed control strategy is validated through simulation using a seamless switching model of the power conversion system developed on the Matlab/Simulink (R2021b) platform. Simulation results demonstrate that the optimized control strategy enables smooth microgrid transitions, thereby improving the overall reliability of grid operations. Full article
Show Figures

Figure 1

13 pages, 3723 KiB  
Article
Zero-Voltage Ride-Through Scheme of PMSG Wind Power System Based on NLESO and GFTSMC
by Zhongjian Kang and Jinfeng Li
Electronics 2023, 12(20), 4348; https://doi.org/10.3390/electronics12204348 - 20 Oct 2023
Cited by 1 | Viewed by 904
Abstract
In this paper, a scheme for zero-voltage ride through of a permanent magnet synchronous generator wind power system is proposed. Maintaining the stability of DC-link voltage is the key to realizing zero-voltage ride through. A braking chopper is used to dissipate the active [...] Read more.
In this paper, a scheme for zero-voltage ride through of a permanent magnet synchronous generator wind power system is proposed. Maintaining the stability of DC-link voltage is the key to realizing zero-voltage ride through. A braking chopper is used to dissipate the active power to restrain the rise of DC-link voltage during a grid fault. However, the braking chopper-caused disturbance to the double closed-loop control of the grid side converter makes the control effect on DC-link voltage worse. Therefore, a robust current feedforward control, based on a nonlinear extended state observer and global fast terminal sliding mode control is proposed. A nonlinear extended state observer estimates the total disturbance in the system and compensates for the control law. Global fast terminal sliding mode control enables the system to reach the sliding mode surface in a finite time, and its control law is continuous without switching terms, thereby eliminating the chattering phenomenon. A nonlinear extended state observer and global fast terminal sliding mode control change the current feedforward control into a nonlinear robust current feedforward control. The control effect is improved, and the use of current transformers is reduced in practical applications, thereby reducing costs. The validity of this scheme has been verified by simulation. Full article
Show Figures

Figure 1

15 pages, 3571 KiB  
Article
State Feedback and Deadbeat Predictive Repetitive Control of Three-Phase Z-Source Inverter
by Fan Peng, Weicai Xie and Jiande Yan
Electronics 2023, 12(4), 1005; https://doi.org/10.3390/electronics12041005 - 17 Feb 2023
Cited by 1 | Viewed by 1214
Abstract
In this paper, a composite control method combining repetitive control (RC) and deadbeat predictive control (DPC) is proposed to reduce the harmonic content of output voltage and improve the quality of voltage waveform, in order to solve the problem of voltage distortion caused [...] Read more.
In this paper, a composite control method combining repetitive control (RC) and deadbeat predictive control (DPC) is proposed to reduce the harmonic content of output voltage and improve the quality of voltage waveform, in order to solve the problem of voltage distortion caused by linear and nonlinear loads at the common grid-connected point of microgrid. First, the mathematical model of three-phase Z-source inverters is established, and the model is transformed into a state space expression. Then, Lyapunov’s theory is used to find the design conditions of the state feedback control law based on linear matrix inequality. Finally, the parameters of the controller are solved by linear matrix inequality (LMI), and the parameter design of the improved repetitive controller is optimized. Furthermore, the system response speed is improved, and the system stability and robustness are guaranteed by combining the deadbeat predictive control technology. The simulation and experimental results verify the accuracy and superiority of the proposed deadbeat predictive repetitive control (DPRC) based on parameter optimization. Full article
Show Figures

Figure 1

Back to TopTop