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Computer Simulation of Electric Power and Electromechanical Systems
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Computer Simulation of Electric Power and Electromechanical Systems

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".

Deadline for manuscript submissions: closed (31 May 2023) | Viewed by 5564

Special Issue Editor

Dr. Alexander S. Semenov

E-Mail Website
Guest Editor
Polytechnic Institute (branch) in Mirny, North-Eastern Federal University named after M.K. Ammosov, 678174 Mirny, Russia
Interests: variable frequency drive; power converters; mathematical modeling; applied physics; electrical engineering and electronics; energy efficiency and conservation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Cutting-edge computer science and information technology make the computer modeling of electrical power and electromechanical systems a convenient tool for studying the physical processes of such systems. The testing and analysis of electricity delivery systems and electric drives are becoming ever more complicated using conventional computing.

Computer modeling is a process of rendering the behavior of a system while varying its parameters. In practice, modeling refers to an adequate representation of a system under consideration by a model to be analyzed by known methods.

In the energy sector, computer simulation has found broad use in VFD applications, the development of controllers, and the analysis of the energy efficiency of high-power units running at industrial facilities.

Additionally, many research and educational institutions use various computer simulation software to research and learn about electric power systems.

This Special Issue is intended to:

  • Improve the knowledge of computer modeling software;
  • Further the knowledge of novel modeling methods in the electric power industry;
  • Prove the concept of computer simulation for evaluating the energy efficiency of units;
  • Share experience in the application of computer modeling in industry, science, and education.

This Special Issue covers topics including but not limited to the following:

  • Electric drive system modeling;
  • Electricity delivery system modeling;
  • Controller modeling;
  • Modeling electric power systems based on renewable energy;
  • Modeling electric power systems of industrial facilities;
  • Optimal choice of methods for electric power system modeling;
  • Computer modeling of electric power systems in science and education.

Dr. Alexander S. Semenov
Guest Editor

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. Applied Sciences 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

  • computer modeling
  • electric power system
  • electric drive
  • electricity delivery
  • energy efficiency
  • automation
  • optimization
  • industry
  • renewable energy

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Published Papers (4 papers)

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Research

30 pages, 4761 KiB  
Article
Modeling and Simulation in Multibond Graphs Applied to Three-Phase Electrical Systems
by Gilberto Gonzalez-Avalos, Noe Barrera Gallegos, Gerardo Ayala-Jaimes and Aaron Padilla Garcia
Appl. Sci. 2023, 13(10), 5880; https://doi.org/10.3390/app13105880 - 10 May 2023
Cited by 1 | Viewed by 1106
Abstract
The modeling of three-phase electrical systems in the coordinates d,q,0 in a simple and direct way in a multibond graph approach is presented. From the graphical model obtained, a mathematical model in state space can be determined. Thus, studies [...] Read more.
The modeling of three-phase electrical systems in the coordinates d,q,0 in a simple and direct way in a multibond graph approach is presented. From the graphical model obtained, a mathematical model in state space can be determined. Thus, studies of the electromagnetic transients of electrical systems can be analyzed. Likewise, this modeling in the physical domain can be applied to balanced or unbalanced systems and the storage elements (inductances and capacitances) can be connected to be linearly independent or dependent. Structural properties such as stability, controllability, observability or controller design can be analyzed in multibond graphs. The proposed methodology is applied to two examples and the simulation results are shown using 20-Sim software. Full article
(This article belongs to the Special Issue Computer Simulation of Electric Power and Electromechanical Systems)
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21 pages, 12941 KiB  
Article
Generalized Super-Twisting Backstepping Sliding Mode Control for Electro-Hydraulic Servo Systems Considering the Coexistence of Matched and Mismatched Uncertainties
by Qianyu Cao and Xiaoyu Su
Appl. Sci. 2023, 13(8), 4931; https://doi.org/10.3390/app13084931 - 14 Apr 2023
Cited by 2 | Viewed by 1205
Abstract
Aiming at the problem of the coexistence of matching and mismatching uncertainties in electro-hydraulic servo systems, disturbance observers and a backstepping sliding mode controller based on the generalized super-twisting algorithm (GSTA) are proposed in this paper. First, in order to compensate for the [...] Read more.
Aiming at the problem of the coexistence of matching and mismatching uncertainties in electro-hydraulic servo systems, disturbance observers and a backstepping sliding mode controller based on the generalized super-twisting algorithm (GSTA) are proposed in this paper. First, in order to compensate for the uncertainty in the controller, two generalized super-twisting disturbance observers (GSTDOs) are constructed to effectively reduce the discontinuous gain of the controller. Then, the GSTA is introduced to optimize the backstepping sliding mode controller to obtain a better control effect. Finally, the proposed control strategy is compared and simulated on the electro-hydraulic servo system. The experimental results verify that the proposed control strategy has better tracking performance. The effect of asymptotic tracking in the presence of parameter uncertainties and disturbances is achieved, while transient tracking performance and final tracking accuracy are guaranteed in the presence of time-varying uncertain nonlinearities. Full article
(This article belongs to the Special Issue Computer Simulation of Electric Power and Electromechanical Systems)
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22 pages, 6007 KiB  
Article
A New Modified Non-Approximative Method for Dynamic Systems Direct Calculation
by Branislav Dobrucký, Roman Koňarik, Mariana Beňová and Michal Praženica
Appl. Sci. 2023, 13(7), 4162; https://doi.org/10.3390/app13074162 - 24 Mar 2023
Cited by 2 | Viewed by 907
Abstract
This scientific paper presents a novel modified non-approximative method for instantaneously calculating state variables in a compact form. The method provides a direct solution in the discrete time domain, allowing for the specification of state variable values at any discrete time instant without [...] Read more.
This scientific paper presents a novel modified non-approximative method for instantaneously calculating state variables in a compact form. The method provides a direct solution in the discrete time domain, allowing for the specification of state variable values at any discrete time instant without requiring knowledge of previous variable values. This approach is useful for estimating voltage and current stresses of semiconductor elements and circulating energy within power electronic circuits, which is crucial for the correct design and operation of such systems. The paper utilized the z-transform with a long repetitive period to accelerate the calculation time and applies a method to solve the Steinmetz circuit using Matlab. The paper includes detailed simulations and a comparison of time consumption using both Euler implicit and the proposed direct non-approximative methods. Theoretical and simulation results were validated using Matlab/Simulink circuit simulator, demonstrating the effectiveness and efficiency of the proposed method. Full article
(This article belongs to the Special Issue Computer Simulation of Electric Power and Electromechanical Systems)
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21 pages, 8278 KiB  
Article
Time Domain Investigation of Hybrid Intelligent Controllers Fed Five-Phase PMBLDC Motor Drive
by M. A. Inayathullaah, N. Sivakumar, Ananthakrishnan Balasundaram, R. Arul and S. Angalaeswari
Appl. Sci. 2023, 13(5), 3281; https://doi.org/10.3390/app13053281 - 4 Mar 2023
Cited by 7 | Viewed by 1842
Abstract
This paper presents a modeling and performance evaluation of a five-phase PMBLDC motor with different controllers to analyze its transients and dynamic response with time domain specifications. Four different types of speed controllers, namely an Adaptive Neuro-Fuzzy Inference System (ANFIS), an Adaptive Hybrid [...] Read more.
This paper presents a modeling and performance evaluation of a five-phase PMBLDC motor with different controllers to analyze its transients and dynamic response with time domain specifications. Four different types of speed controllers, namely an Adaptive Neuro-Fuzzy Inference System (ANFIS), an Adaptive Hybrid fuzzy-PI, a Proportional Integral (PI) control and a Fuzzy Logic Control (FLC), were considered and compared for this purpose. The mathematical model of the five-phase Permanent Magnet Brushless Direct Current (PMBLDC) motor was developed and simulated using MATLAB/Simulink to analyze its performance. The simulation results for all controllers with step and linear load fluctuations were evaluated. It was evident that the ANFIS controller provided a better dynamic time domain response than the other controllers. It gave eight times the peak torque at starting, and settled at 92.6% of the rated speed, with negligible overshoot, a very low rise time and a quick settling time compared to other controllers, which are ideally suited for an electric vehicle (EV). A real-time experimental setup was also developed, and experiments were carried out to validate the simulation results. Full article
(This article belongs to the Special Issue Computer Simulation of Electric Power and Electromechanical Systems)
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