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Energies
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Challenge and Research Trends of Power System Simulation
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Challenge and Research Trends of Power System Simulation

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F1: Electrical Power System".

Deadline for manuscript submissions: closed (31 May 2022) | Viewed by 11776

Special Issue Editors

Prof. Dr. Chul-Hwan Kim

E-Mail Website
Guest Editor
College of Information and Communication Engineering, Sungkyunkwan University, Seoul 100744, Korea
Interests: electric power systems; electrical & electronics engineering; renewable energy technologies; electrical power engineering; power systems analysis; power systems simulation; power engineering; distributed generation; power systems modelling; power quality; power transmission; power system protection; grid integration; power system studies; transmission; lightning; lightning protection; EMTP
Prof. Dr. Gi-Hyeon Gwon

E-Mail Website
Guest Editor
Department of Smart Electrical & Electronic Engineering, Yonam Institute of Technology, Jinju-si 52821, Gyeongsangnam-do, Korea
Interests: electrical power systems engineering; power systems simulation; renewable energy technologies; power system protection; DC distribution system; EMTP

Special Issue Information

Dear Colleagues,

We are pleased to invite you to this Special Issue “Challenge and Research Trends of Power System Simulation”. Due to the connection of renewable energy, advanced electrical equipment, various operating systems, and power electronics-based facilities, the modern power system is gradually increasing in complexity and diversity unlike the conventional power system. Therefore, the development of advanced simulation methods is required for the steady-state and transient analysis of such complex power systems. To meet these demands, a challenging and creative power system simulation method of various simulation tools should be developed, which should be shared with many researchers.

This Special Issue will deal with manuscripts on challenging and creative simulation methods for all fields related to power systems, regardless of program type. Even if the subject of the paper does not exactly match the keyword, we welcome and ask for participation of many researchers.

Prof. Dr. Chul-Hwan Kim
Prof. Dr. Gi-Hyeon Gwon
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. Energies 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 2600 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 System Simulation
  • Real-Time Simulation
  • Transient Analysis Simulation
  • Power System Component Modelling
  • Steady-State Analysis Simulation
  • Computer Simulation

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Published Papers (4 papers)

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Research

19 pages, 6876 KiB  
Article
FPGA-Based Real-Time Simulation of Dual-Port Submodule MMC–HVDC System
by Zhao Jin, Yanjie Wu, Shuyuan Wang and Bingda Zhang
Energies 2022, 15(13), 4624; https://doi.org/10.3390/en15134624 - 24 Jun 2022
Cited by 2 | Viewed by 1935
Abstract
Aiming at the problems of the high switch numbers, complex working mechanisms, and complicated real-time simulation of modular multilevel converters (MMCs) composed of dual-port submodules, in this study, we designed a unified equivalent model of the multiple submodule network by analyzing the combination [...] Read more.
Aiming at the problems of the high switch numbers, complex working mechanisms, and complicated real-time simulation of modular multilevel converters (MMCs) composed of dual-port submodules, in this study, we designed a unified equivalent model of the multiple submodule network by analyzing the combination of parallel submodules in the bridge arm. The proposed model decouples the submodules that do not affect each other in the subnetwork calculation process, thereby reducing the number of prestored parameters in the subnetwork simulation. In the Xilinx Virtex-7 FPGA VC709 (Xilinx Corporation, San Jose, CA, USA) development board, we replaced the inline computation combined with the prestorage of parameters with the proposed equivalent model to optimize the execution unit structure and redesigned the FPGA-Based Real-Time Digital Solver (FRTDS). Taking the P-FBSM-based MMC–HVDC system as the simulation object, we performed a real-time simulation with a step size of 10 μs, which verified the effectiveness of the proposed model and the improvement in the hardware. We compared the results with the offline MATLAB/Simulink simulation results to verify the accuracy of the simulation. Full article
(This article belongs to the Special Issue Challenge and Research Trends of Power System Simulation)
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24 pages, 14124 KiB  
Article
Numbers, Please: Power- and Voltage-Related Indices in Control of a Turbine-Generator Set
by Paweł Sokólski, Tomasz A. Rutkowski, Bartosz Ceran, Daria Złotecka and Dariusz Horla
Energies 2022, 15(7), 2453; https://doi.org/10.3390/en15072453 - 27 Mar 2022
Cited by 4 | Viewed by 2641
Abstract
This paper discusses the proper selection and interpretation of aggregated control performance indices values mirroring the quality of electrical energy generation by a turbine-generator set cooperating with a power system. Typically, a set of basic/classical and individual indices is used in energy engineering [...] Read more.
This paper discusses the proper selection and interpretation of aggregated control performance indices values mirroring the quality of electrical energy generation by a turbine-generator set cooperating with a power system. Typically, a set of basic/classical and individual indices is used in energy engineering to ensure the mirroring feature and is related to voltage, frequency and active or reactive power deviations from their nominal values desired in the power system. In this paper, aggregated indices based on the sum of weighted integral indices are proposed, verified and built based on the well-known indices originating from control theory. These include an integral of the squared error (ISE) and an integral of the squared error multiplied by time (ITSE), applicable whenever an in-depth analysis and evaluation of various control strategies of the generation system is to be performed. In the reported research, the computer simulation tests verified their effectiveness in assessing the generated electricity on the example of a turbine-generator set controlled using a predictive control technology as well as applicability, proven by numerous simulation results to take various and different in nature requirements into account efficiently, in the form of a single aggregated index. Full article
(This article belongs to the Special Issue Challenge and Research Trends of Power System Simulation)
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18 pages, 850 KiB  
Article
Factorisation Path Based Refactorisation for High-Performance LU Decomposition in Real-Time Power System Simulation
by Jan Dinkelbach, Lennart Schumacher, Lukas Razik, Andrea Benigni and Antonello Monti
Energies 2021, 14(23), 7989; https://doi.org/10.3390/en14237989 - 30 Nov 2021
Cited by 5 | Viewed by 2630
Abstract
The integration of renewable energy sources into modern power systems requires simulations with smaller step sizes, larger network models and the incorporation of complex nonlinear component models. These features make it more difficult to meet computation time requirements in real-time simulations and have [...] Read more.
The integration of renewable energy sources into modern power systems requires simulations with smaller step sizes, larger network models and the incorporation of complex nonlinear component models. These features make it more difficult to meet computation time requirements in real-time simulations and have motivated the development of high-performance LU decomposition methods. Since nonlinear component models cause numerical variations in the system matrix between simulation steps, this paper places a particular focus on the recomputation of LU decomposition, i.e., on the refactorisation step. The main contribution is the adoption of a factorisation path algorithm for partial refactorisation, which takes into account that only a subset of matrix entries change their values. The approach is integrated into the modern LU decomposition method NICSLU and benchmarked against the methods SuperLU and KLU. A performance analysis was carried out considering benchmark as well as real power systems. The results show the significant speedup of refactorisation computation times in use cases involving system matrices of different sizes, a variety of sparsity patterns and different ratios of numerically varying matrix entries. Consequently, the presented high-performance LU decomposition method can assist in meeting computation time requirements in real-time simulations of modern power systems. Full article
(This article belongs to the Special Issue Challenge and Research Trends of Power System Simulation)
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11 pages, 5077 KiB  
Article
Bi-Directional Power Flow in Switchgear with Static Transfer Switch Applied at Various Renewable Energies
by Keon-Woo Park and Chul-Hwan Kim
Energies 2021, 14(11), 3187; https://doi.org/10.3390/en14113187 - 29 May 2021
Cited by 6 | Viewed by 3398
Abstract
In this study, we describe the development of a plug-in type of switchgear that can control bidirectional power flow. This switchgear system can connect distributed generations such as photovoltaic and wind turbine generation, and AC and DC loads. The proposed switchgear system consists [...] Read more.
In this study, we describe the development of a plug-in type of switchgear that can control bidirectional power flow. This switchgear system can connect distributed generations such as photovoltaic and wind turbine generation, and AC and DC loads. The proposed switchgear system consists of an inverter for connecting distributed generations and DC load, a static transfer switch (STS) that can control and interrupt the bidirectional power flow, and an intelligent electronic device (IED) that can control each facility using a communication system. Since the topology inside the switchgear is composed of DC bus, it can be operated as a plug-in type of system that can be used by simply connecting the converters of various distributed generations to the inverter in the developed switchgear system. In this study, we describe the overall structure of the proposed switchgear system and the operation of the components. In addition, prototypes of each facility are developed and the results of building a small testbed are presented. Finally, we verify the operation of the inverter by performing an experiment on the testbed and show that throughout a test sequence the proposed switchgear system works normally. The contributions of this study are the development of a plug-in type of switchgear for AC/DC and the actual test results presented through prototype development and testbed configuration. Full article
(This article belongs to the Special Issue Challenge and Research Trends of Power System Simulation)
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