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Power System Simulation, Control and Optimization Ⅱ

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

Deadline for manuscript submissions: closed (15 January 2022) | Viewed by 7301

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Prof. Dr. José Antonio Domínguez-Navarro

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Department of Electrical Engineering, University of Zaragoza, Calle María de Luna 3, 50018 Zaragoza, Spain
Interests: electrical network planning; renewable energy integration; application of computing techniques (neural networks, fuzzy systems and heuristic optimization algorithms)
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Prof. Dr. José María Yusta-Loyo

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Guest Editor

Department of Electrical Engineering, University of Zaragoza, Calle María de Luna 3, 50018 Zaragoza, Spain
Interests: energy markets; optimal dispatch of smart grids; vulnerability assessment of critical infrastructure
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Special Issue Information

Dear Colleagues,

This Special Issue "Power System Simulation, Control and Optimization Ⅱ" is a continuation of the previous successful Special Issue "Power System Simulation, Control and Optimization".

The analysis, operation and control of power systems are increasingly complex tasks that require advanced simulation models to analyze and control the effects of transformations concerning electricity grids today: the massive integration of renewable energies, the progressive implementation of electric vehicles, the development of intelligent networks, and the progressive evolution of the applications of artificial intelligence.

This Special Issue aims to group all the alternative paradigms that are being developed to go beyond the current simulation and control programs. These include, in particular, but not exclusively, the following:

- Multi-agent systems;
- Parallel programming;
- Heuristic techniques;
- Optimization algorithms;
- Neural networks and deep learning;
- Fuzzy systems.

Prof. Dr. José Antonio Domínguez-Navarro
Prof. Dr. José María Yusta-Loyo
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 modeling
soft computing techniques
optimization algorithms
renewable energies

Published Papers (3 papers)

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Research

21 pages, 376 KiB

Open AccessArticle

Comparative Analysis of Solar Panels with Determination of Local Significance Levels of Criteria Using the MCDM Methods Resistant to the Rank Reversal Phenomenon

by Aleksandra Bączkiewicz, Bartłomiej Kizielewicz, Andrii Shekhovtsov, Mykhailo Yelmikheiev, Volodymyr Kozlov and Wojciech Sałabun

Energies 2021, 14(18), 5727; https://doi.org/10.3390/en14185727 - 11 Sep 2021

Cited by 38 | Viewed by 3204

Abstract

This paper aims to present an innovative approach based on two newly developed Multi-Criteria Decision-Making (MCDM) methods: COMET combined with TOPSIS and SPOTIS, which could be the basis for a decision support system (DSS) in the problem of selecting solar panels. Solar energy is one of the most promising and environmentally friendly energy sources because of the enormous potential of directly converting available solar radiation everywhere into electricity. Furthermore, ever-lower prices for photovoltaic systems make solar electricity more competitive with power from conventional energy sources, increasing interest in solar panels among companies and households. This fact generates the need for a user-friendly, objective, fully automated DSS to support the multi-criteria selection of solar panels. Both MCDM methods chosen for this purpose are rank-reversal-free and precise. First, the objective entropy weighting method was applied for determining criteria weights. Final rankings were compared by two ranking correlation coefficients: symmetrical

r_{w}

and asymmetrical

W S

. Then the sensitivity analysis providing local weights of alternatives for decision criteria was performed. The obtained results prove the adequacy and practical usefulness of the presented approach in solving the problem of solar panels selection. Full article

(This article belongs to the Special Issue Power System Simulation, Control and Optimization Ⅱ)

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22 pages, 5832 KiB

Open AccessArticle

Applying Wavelet Filters in Wind Forecasting Methods

by José A. Domínguez-Navarro, Tania B. Lopez-Garcia and Sandra Minerva Valdivia-Bautista

Energies 2021, 14(11), 3181; https://doi.org/10.3390/en14113181 - 29 May 2021

Cited by 12 | Viewed by 1736

Abstract

Wind is a physical phenomenon with uncertainties in several temporal scales, in addition, measured wind time series have noise superimposed on them. These time series are the basis for forecasting methods. This paper studied the application of the wavelet transform to three forecasting methods, namely, stochastic, neural network, and fuzzy, and six wavelet families. Wind speed time series were first filtered to eliminate the high-frequency component using wavelet filters and then the different forecasting methods were applied to the filtered time series. All methods showed important improvements when the wavelet filter was applied. It is important to note that the application of the wavelet technique requires a deep study of the time series in order to select the appropriate family and filter level. The best results were obtained with an optimal filtering level and improper selection may significantly affect the accuracy of the results. Full article

(This article belongs to the Special Issue Power System Simulation, Control and Optimization Ⅱ)

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15 pages, 290 KiB

Open AccessArticle

Sampling Primary Power Standard from DC up to 9 kHz Using Commercial Off-The-Shelf Components

by Christian Mester

Energies 2021, 14(8), 2203; https://doi.org/10.3390/en14082203 - 15 Apr 2021

Cited by 7 | Viewed by 1676

Abstract

In the framework of the empir projects myrails and windefcy, metas developed a primary standard for electrical power using commercial off-the-shelf components. The only custom part is the software that controls the sampling system and determines the amplitude and phase of the different frequency components of voltage and current. The system operates from dc up to 9 kHz, even with distorted signals. The basic system is limited to 700 V and 21 A. Its power uncertainty is 15 μW/VA at power frequencies and increases to

1.8

mW/VA at 9 kHz. With the extension up to 1000 V and 360 A, the system reaches power uncertainties of 20 μW/VA at power frequencies, increasing to 510 μW/VA at 9 kHz. For higher voltages or higher currents, the same principle is used. However, the uncertainties are dominated by the stability of the sources. The voltage and current channels can also be used independently to calibrate and test power quality instruments. Thanks to a time-stamping system, the system can also be used to calibrate phasor measurement units, which are synchronised to utc. Full article

(This article belongs to the Special Issue Power System Simulation, Control and Optimization Ⅱ)

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