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Energies
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Power System Modeling, Analysis and Simulation
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Power System Modeling, Analysis and 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 January 2022) | Viewed by 4980

Special Issue Editors

Dr. Davis Montenegro

E-Mail Website
Guest Editor
Electric Power Research Institute, Knoxville, TN 37932, USA
Interests: real-time processing; power quality; smart grid applications
Dr. Gustavo Ramos

E-Mail Website
Guest Editor
Department of Electrical and Electronic Engineering, Universidad de los Andes, Bogotá 111711, Colombia
Interests: power sytem analysis; distribution system modeling; power quality; smart grid applications

Special Issue Information

Dear Colleagues,

Power system simulation tools and techniques are required in order to provide a framework for harmonizing technologies so that interconnected systems can be automated and simultaneously operated and visualized to obtain maximum benefits of the power system. These needs require analysis techniques and tools to consider the features of power systems that change with time when including new technologies for planning studies and power system analyses among other studies conducted in the power engineering business.

Modern analyses in the power systems domain have an iterative nature, looking for optimal solutions for a given problem. Some analyses combine alternative sets for relieving voltage and thermal violations within a planning horizon. Others combine methods and configurations to evaluate the power system’s sensitivity when exposed to different operational conditions. Multiple techniques exploit modern computing architectures for accelerating the simulation of large-scale power system models, taking the model into other domains such as real-time simulations, fast simulation with high resolution, electromechanical transients, optimal power flow, and multidimensional studies, among others.

This Special Issue is looking for novel methods in power system modeling and simulation applied to different applications within the power systems domain, including, but not limited to, planning, operation, real-time, fast simulation, co-simulation, and cloud and parallel computing.

Submit your paper and select the Journal “Energies” and the Special Issue “Power System Modeling, Analysis and Simulation” via: MDPI submission system. Please contact the special issue editor ([email protected]) for any queries. Our papers will be published on a rolling basis and we will be pleased to receive your submission once you have finished it.

Dr. Davis Montenegro
Dr. Gustavo Ramos
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 analysis
  • power system simulation
  • parallel processing
  • dynamics
  • power system modeling
  • real-time
  • co-simulation

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Published Papers (2 papers)

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Research

13 pages, 1972 KiB  
Article
Simplified A-Diakoptics for Accelerating QSTS Simulations
by Davis Montenegro and Roger Dugan
Energies 2022, 15(6), 2051; https://doi.org/10.3390/en15062051 - 11 Mar 2022
Cited by 1 | Viewed by 1973
Abstract
The spread of distributed energy resources (DERs) across the distribution power system demands complex planning studies based on quasi-static-time-series (QSTS) simulations, requiring a significant amount of computing time to complete, leading planners to look for alternatives to QSTS. Diakoptics based on actors (A-Diakoptics) [...] Read more.
The spread of distributed energy resources (DERs) across the distribution power system demands complex planning studies based on quasi-static-time-series (QSTS) simulations, requiring a significant amount of computing time to complete, leading planners to look for alternatives to QSTS. Diakoptics based on actors (A-Diakoptics) is a technique for accelerating simulations combining two computing techniques from different engineering fields: diakoptics and the actor model. Diakoptics is a mathematical method for tearing networks, reducing their complexity by using smaller subcircuits that can be solved independently. The actor model is used to coordinate the interaction between these subcircuits and their control actions, given the pervasive inconsistency that can be found when dealing with large-scale models. A-Diakoptics is a technique that simplifies the power flow problem for improving the simulation time performance, leading to faster QSTS simulations. This paper presents a simplified algorithm version of A-Diakoptics for modernizing sequential power simulation tools to use parallel processing. This simplification eliminates critical points found in previous versions of A-Diakoptics, improving the performance of the algorithm and facilitating its implementation to perform QSTS simulations. The performance of the new version of A-Diakoptics is evaluated by its integration into EPRI’s open-source simulator OpenDSS, which uses standard computing architectures and is publicly available. Full article
(This article belongs to the Special Issue Power System Modeling, Analysis and Simulation)
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19 pages, 4423 KiB  
Article
Constant Voltage Model of DFIG-Based Variable Speed Wind Turbine for Load Flow Analysis
by Rudy Gianto
Energies 2021, 14(24), 8549; https://doi.org/10.3390/en14248549 - 18 Dec 2021
Cited by 8 | Viewed by 2101
Abstract
At present, the penetration of wind-driven electric generators or wind power plants (WPPs) in electric power systems is getting more and more extensive. To evaluate the steady state performances of such power systems, developing a valid WPP model is therefore necessary. This paper [...] Read more.
At present, the penetration of wind-driven electric generators or wind power plants (WPPs) in electric power systems is getting more and more extensive. To evaluate the steady state performances of such power systems, developing a valid WPP model is therefore necessary. This paper proposes a new method in modeling the most popular type of WPP, i.e., DFIG (doubly fed induction generator)-based WPP, to be used in power system steady state load flow analysis. The proposed model is simple and derived based on the formulas that calculate turbine mechanical power and DFIG power. The main contribution of the paper is that, in contrast to the previous models where the DFIG power factor has been assumed to be constant at unity, the constant voltage model proposed in this paper allows the power factor to vary in order to keep the voltage at the desired value. Another important contribution is that the proposed model can be implemented in both sub-synchronous and super-synchronous conditions (it is to be noted that most of the previous models use two different mathematical models to represent the conditions). The case study is also presented in the present work, and the results of the study confirm the validity of the proposed DFIG model. Full article
(This article belongs to the Special Issue Power System Modeling, Analysis and Simulation)
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