Analysis and Control Techniques in Power-Electronic-Based Power System

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

Deadline for manuscript submissions: 15 November 2024 | Viewed by 1573

Special Issue Editors


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Guest Editor
School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China
Interests: analysis and control of power system; power-electronic-based power systems; renewable energy; stability analysis and control of microgrid
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Guest Editor
School of Electrical Engineering, Southeast University, Nanjing 210096, China
Interests: modeling, control and design of power converters; wireless power transfer; stability analysis of distributed power systems
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Guest Editor
School of Electrical & Information Engineering, Changsha University of Science and Technology, Changsha 410114, China
Interests: operation and control of hybrid AC/DC power systems; energy storage systems control; flexibility of energy systems
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China
Interests: resonant converters; dc-dc converters; high-power energy storage systems

Special Issue Information

Dear Colleagues,

In order to achieve the goals of “carbon neutrality” and sustainable development with green and low-carbon advantages, several sources of renewable energy, mainly wind power and photovoltaic, have been integrated into power grids through power electronics. Therefore, power grids are transitioning into power-electronic-based power systems. However, the randomness and intermittency of renewable energy sources will cause power imbalance and affect the stability of the power-electronic-based power systems.  Meanwhile, the high proportion of power electronics in the system will result in low rotational inertia and weak damping. These factors make it significant to study the analysis and control techniques of the power-electronic-based power systems. Therefore, this Special Issue seeks to bring together researchers from both academia and industry to introduce the latest control techniques for the power-electronic-based power systems and discuss future research opportunities.

Topics of interest include, but are not limited to, the following:

  • Analysis of power-electronic-based power systems;
  • Power quality problem of power-electronic-based power systems;
  • Topology of power-electronic-based power systems;
  • Modelling technique of power converters;
  • Advanced control strategy of power-electronic-based power systems;
  • Control techniques for microgrids;
  • Converter design for different regulation requirement;
  • Control of grid-forming storage converter;
  • Transient stability of power-electronic-based power systems.

Dr. Sunhua Huang
Dr. Xin Li
Dr. Yang Zhou
Dr. Jian Ai
Guest Editors

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Keywords

  • renewable energy
  • power-electronic-based power systems
  • stability control

Published Papers (2 papers)

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Research

18 pages, 9432 KiB  
Article
Digitally Controlled Hybrid Switching Step-Up Converter
by Evelyn-Astrid Lovasz, Dan Lascu and Septimiu Lica
Electronics 2024, 13(9), 1740; https://doi.org/10.3390/electronics13091740 - 1 May 2024
Viewed by 464
Abstract
This paper focuses on the digital closed-loop design for a step-up converter with hybrid switching. For this purpose, for the first time, the control-to-output small-signal transfer function of a hybrid switching converter is determined in the rational form. Based on it, a type [...] Read more.
This paper focuses on the digital closed-loop design for a step-up converter with hybrid switching. For this purpose, for the first time, the control-to-output small-signal transfer function of a hybrid switching converter is determined in the rational form. Based on it, a type 3 analog controller is designed, and then, its digitized counterpart is found, and the digital controller is designed using a digital signal processor. The closed-loop operation is then validated both through simulation and practical implementation. Full article
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11 pages, 1266 KiB  
Article
Static Equivalence Method of Power Grid Based on Genetic Algorithm
by Xiaofeng Jiang, Pengyu Pan, Hao Wang, Lei Liu, Gang Chen, Xi Wang and Xiaoyan Han
Electronics 2024, 13(9), 1647; https://doi.org/10.3390/electronics13091647 - 25 Apr 2024
Viewed by 315
Abstract
When the electromagnetic transient simulation of a large-scale power grid is carried out, because the simulation is limited by the scale of simulation software, it is necessary to divide the grid into internal and external grids, and the external grid is modeled with [...] Read more.
When the electromagnetic transient simulation of a large-scale power grid is carried out, because the simulation is limited by the scale of simulation software, it is necessary to divide the grid into internal and external grids, and the external grid is modeled with equivalent simplification. Aiming at resolving the difficulties of the traditional grid equivalence method, such as a cumbersome calculation process and harsh calculation conditions, a static grid equivalence method based on the genetic algorithm is proposed in this paper. The method first constructs an external grid equivalence network, which includes coupling branches between boundary nodes, and each boundary node is connected to the external grid equivalence power supply through the branches. Then, the external grid equivalence model is used to establish an optimization model for solving the equivalence network parameters based on the information of the internal network, the difference of the power input from the external grid to the boundary nodes before and after equivalence is used as the objective function, and the genetic algorithm is used to realize the iterative optimization of the objective function to obtain a set of optimal post-equivalence network model parameters so that the state variables of the internal power grid before and after the equivalence are matched. The accuracy and effectiveness of the proposed method are verified through simulation with the CERPI36V7 node system. Full article
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