Topical Collection "Featured Papers in Electrical Power and Energy System"
A topical collection in Energies (ISSN 1996-1073). This collection belongs to the section "Electrical Power and Energy System".
Editors
Interests: electrical engineering; power electronics; power converters; inverters; renewable energy; energy efficiency; energy storage; fuel cell; hybrid power systems; control; optimization; MATLAB simulation
Special Issues and Collections in MDPI journals
Interests: electrical engineering; power electronics; power converters; renewable energy technologies; control systems engineering; MATLAB simulation; power systems simulation; power systems analysis
Special Issues and Collections in MDPI journals
Interests: energy harvesting; solar energy; power and energy architectures; energy conversion and storage; energy conversion and efficiency; maximum power point tracking techniques; energy management; DC-DC conversion; operation under faulty conditions; prognostics and diagnostics; fault tolerant operation
Special Issues and Collections in MDPI journals
Interests: consumption; data centers; scientific workflows; machine learning; soft computing; artificial intelligence; optical communications; cloud computing
Special Issues and Collections in MDPI journals
Interests: energy harvesting; nonlinear dynamics; vibration and control; smart materials; aeroelasticity; fluid-structure interactions; micro-/nanoelectromechanical systems (MEMS/NEMS); flight dynamics
Special Issues and Collections in MDPI journals
Topical Collection Information
Dear Colleagues,
The exponential growth of global energy demand and the demand for sustainable energy development in recent years can both be addressed systemically by implementing innovative solutions for the generation, transmission, distribution and use of electricity.
This Topical Collection, “Featured Papers in Electrical Power and Energy System” (https://www.mdpi.com/journal/energies/special_issues/electrical_power_energy_system), will provide a focused analysis of the state of the art in the field of the power and energy systems, both in terms of the individual elements of the power system and their integration, as well as from the point of view of the interaction between the subsystems.
Thus, this Topical Collection will cover modelling of power subsystems, use of the new technologies, the design, control and optimization of the power systems, their implementation and performance evaluation in operation.
The present Topical Collection of Energies, which is an SCIE journal (2020 IF = 3.004), aims to collect innovative solutions and experimental research, as well as state-of-the-art studies, in the following topics:
- Power plants and substations;
- Current power systems;
- AC and DC grids;
- Green power systems;
- Smart transmission grids;
- Smart distribution grids;
- Advanced reliability, resiliency and safety solutions for the power systems;
- Information and communication infrastructure for smart power systems;
- Energy harvesting systems.
The papers received are subject to a rigorous, but fast, peer review procedure, ensuring the wide dissemination of research results accepted for this Topical Collection.
We are writing to invite you to submit your original work to this Topical Collection. We are looking forward to receiving your outstanding research outcomes.
Additional Information: Submit your paper and select the Journal “Energies” and the Collection “Featured Papers in Electrical Power and Energy System” via: https://susy.mdpi.com/user/manuscripts/upload?journal=energies. Please contact the collection editor or the journal 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.
Prof. Dr. Nicu Bizon
Dr. Mihai Oproescu
Prof. Dr. Philippe Poure
Dr. Rocío Pérez de Prado
Dr. Abdessattar Abdelkefi
Collection 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 papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the collection 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 2000 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
- Instrumentation
- Monitorization
- Automation
- Control
- Modeling
- Simulation
- Renewable energy sources
- Energy storage devices
- Power storage devices
- Fuel cell systems
- Distributed energy resources
- Energy conversion
- Power quality
- System stability
- Electric machines
- Metering
- Testing
- Protection
- FACTS
- Transmission and distribution (EHV/HV/MV/LV)
- AC microgrids
- DC microgrids
- Nanogrids
- Microgrids
- Smart buildings
- Home energy systems
- Vehicle-to-everything (V2X)
- Energy management systems
- Distribution management systems
- Vehicle, trains, ships and aircrafts powering
- Electromagnetic compatibility
- Carbon capture
- Energy market
- Planning and economics
- Blockchain
- Smart contracts
- Cyber-security
- Information and communication technology (ICT)
- Big data
- Energy harvesting systems
2021
Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Dual-mode Brushless Wound Rotor Synchronous Machine with High Starting Torque
Authors: Ali Roshanzamir 1; Muhammad Ayub 1,2; Byung-il Kwon 1
Affiliation: (1) Department of Electrical and Electronic Engineering, Hanyang University, Ansan 15588, Korea; (2) Department of Electronic Engineering, FICT, BUITEMS, Quetta 87300, Pakistan.
Abstract: This paper proposes a dual-mode brushless wound rotor synchronous machine (DBL-WRSM) with a high starting torque. In the existing BL-WRSM topologies, the absence of initial flux on the rotor causes zero starting torque. Unlike the existing BL-WRSM, the proposed DBL-WRSM uses a new topology in the rotor to generate the starting torque. The proposed DBL-WRSM is able to generate high starting torque and constant torque in the constant torque region. The proposed machine operates in two modes: the induction and synchronous modes. In the induc-tion mode, the machine operates as a wound rotor induction machine (WRIM) to generate the starting torque, whereas in the synchronous mode, the machine operates as a BL-WRSM. Five switches are used in the three-phase rotor field winding to change the rotor three-phase WRIM winding to the BL-WRSM rotor. A 2D finite element analysis is performed to verify the principle of the proposed DBL-WRSM. The electromagnetic torque is analyzed for the proposed DBL-WRSM to demonstrate the high starting torque and the constant torque in the constant torque region. Moreover, the synchronization capability of the proposed machine is analyzed.
Title: Design and performance of a wireless acquisition system aimed at industrial applications
Authors: Oscar Barambones
Affiliation: Universidad del Pais Vasco - Euskal Herriko Unibertsitatea, Campus Álavadisabled, Vitoria-Gasteiz, Spain
Abstract: This paper presents a wireless acquisition system aimed at industrial applications based on XBee technology. Namely, it is based on XBee technology operating at the 900 MHz band, avoiding the crowed 2.4 GHz band, extensively used in industrial environments. Unfortunately, the influence of interferences caused by other technologies operating in this band may disallow its use at time critical applications. The paper presents the architecture of the proposed acquisition system, based on two different types of nodes specifically designed, the so-called concentrator and the end devices. Also, a communication protocol was designed aimed at guaranteeing a good performance for the wireless acquisition system. The system allows diverse configurations that can maximize the number of measuring points as well as the measuring frequency. An end device was also designed for easing the task of connecting industrial sensors to the wireless acquisition system. The QoS parameters of the proposed system were evaluated in different scenarios which involved industrial scenarios in the aeronautical manufacturing domain. Specifically, the delay and jitter were experimentally measured. In addition, the data acquired with the wireless system was compared with the data from the sensors connected by wired means. The experimental results proved that this kind of wireless acquisition system may become an alternative.
Title: Data Analysis Methods for Long Term Wind Turbine Performance Assessment
Authors: Davide Astolfi
Affiliation: University of Perugia, Italy
Abstract: The long term analysis of wind turbine performance is a complex task, because the power of a wind turbine has a multivariate dependence on ambient conditions and working parameters, which in general can change during the lifetime of the machine because of aging effects and-or technology optimization. For this reason, it useful to develop appropriate techniques based on SCADA data analysis and the present study aims at contributing to this objective. A real-world test case is discussed: seven 2 MW wind turbines owned by the ENGIE Italia company, for which operation data spanning a decade (2011-2020) have been analyzed. Univariate and multivariate data-driven models for the power curves of the wind turbines are set up, basing on Support Vector Regression with Gaussian Kernel, and their pros and cos are discussed. The behavior of the wind turbines is inspected as well using Principal Component Analysis and Mahalanobis distance as novelty index for the individuation of possible changes in the wind turbine control. The main result of this study is that the long term performance trend depends heavily on the history of each wind turbine and, even for a farm composed of only seven wind turbines, the scenario is complex: one wind turbine, despite negligible aging effect, has been performing considerably worse than the best ones for all the considered data sets, while two other ones have been affected by a severe decline with age. Furthermore, it is observed that in 2018 a control optimization improved the behavior of the all wind turbines, except one. Basing on these results, it is argued that it is prohibitive to formulate general hypothesis about the long term performance aging trend of MW-scale wind turbines. Anyway, it is recommended that the analysis of long data sets (order of a decade) diffuses in wind energy practice, because a big time - space picture of a wind farm is useful for understanding appropriately the performance.
Title: AC vs DC Distribution Efficiency: Are we on the right path?
Authors: Hasan Erteza Gelani; Faizan Dastgeer; Mashood Nasir; Sidra Khan
Affiliation: Department of Electrical Engineering, University of Engineering and Technology Lahore, FSD Campus, Pakistan; Energy Technology Department, Aalborg University, Denmark; Department of Electrical Engineering, Comsats Institute of Information Technology (CIIT), Lahore, Pakistan
Abstract: The concept of DC power distribution has gained interest within the research community in the past years; especially due to rapid prevalence of solar PVs as a tool for distributed generation in DC microgrids. Various efficiency analyses have been presented for the DC distribution paradigm, in comparison to the AC counterpart, considering a variety of scenarios. However, even after a number of such comparative efficiency studies, there seems to be a disparity in the results of research efforts - wherein a definite verdict is still unavailable: 'Is DC distribution a more efficient choice as compared to the conventional AC system?' A final verdict is apparently absent primarily due to conflicting results. In this regard, system modeling and the assumptions made in different studies play a significant role in affecting the results of the study. The current paper is an attempt to critically observe the modeling and assumptions used in the efficiency studies related to DC distribution system. Several research efforts will be analyzed for their approach towards the system upon which they have performed efficiency studies. Subsequently, the paper aims to propose a model that may alleviate the shortcomings in earlier research efforts and be able to give a definite verdict regarding the comparative efficiency of DC and AC networks for residential power distribution.
Title: Use of energy storage to reduce transmission losses in meshed power distribution networks
Authors: Andrzej Tomczewski; Stanisław Mikulski
Affiliation: Faculty of Control, Robotics and Electrical Engineering, Poznan University of Technology, Poznań, Poland
Abstract: One of the challenges facing nowaday electrical power industry is adapting the power system to the energy transformation which take in front of our eyes. With increased share of renewable energy sources in the energy production, development of the electromobility and increasing environmental awareness of the society, the power system must constantly evolve to meet its expectations for reliable electricity supply. The paper presents the issue of deploying energy storage facilities in a power distribution network to reduce transmission losses. This multi-objective problem is especially complex for branched power networks with multiple connections between nodes. The article presents comparison of selected multi-objective optimization methods such as: Non-dominated Sorting Genetic Algorithm II (NSGA-II), Binary Random Keys Genetic Algorithm (BRKGA) and Multi-Objective Particle Swarm Optimization (MPSO). It is assumed that the energy storage works with Peak Shaving control strategy.
Title: Effect of Forecasting of Wind Speed with input selection Using Artificial Neural Networks
Authors: Marta Żurek-Mortka
Affiliation: Department of Control Systems, Lukasiewicz Research Network - Institute for Sustainable Technologies, Radom, Poland
Abstract: At present, deterministic times series simulation values based forecasting is preferred over physical data based wind speed forecasting (WSF). But, it is very difficult to meet out the actual requirements of wind farms because highly uncertain nature of wind speed and its associative parameters data. On the mentioned topic, this presented research develops an improved ensemble time series regression based model for day-ahead local WSF’s. The proposed model input has been optimized using regression specifically Auto Correlation Function (ACF). The wind data of Hisar, India collected from National Renewable Energy Laboratory (NREL) has been utilized for the local WSF. In this, Neural Network (NN) with Levenberg Marquardt (LM) learning algorithm has been adopted for the forecasting simulation purpose. The results has been indicated using simulation by considering the seasonal months WSF’s.
Title: Analysis of the parameters of the hot side heat exchanger of the module with thermogenerators
Authors: Marta Żurek-Mortka
Affiliation: Department of Control Systems, Lukasiewicz Research Network - Institute for Sustainable Technologies, Radom, Poland
Abstract: One of the methods of converting thermal energy into electricity is the use of thermogenerators (TEG). The method can be used in low-temperature waste heat conversion systems from industrial installations, but its serious limitation is the low efficiency of thermogenerators and the relatively low power of the electric waveforms obtained. Increasing the obtained power values is done by multiplying the number of TEGs used, grouped into MTEG modules. In such systems, the design of the module is extremely important, as it should ensure the best possible heat transfer between both sides of the TEG (hot and cold), and thus obtaining maximum electrical power. The article presents an analysis of a two-section, flat plate heat hot side exchanger MTEG. The key parameters and their impact on the efficiency of heat use and generated electric power were indicated.












