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Intelligent Energy Systems
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Intelligent Energy Systems

A special issue of Energies (ISSN 1996-1073).

Deadline for manuscript submissions: closed (31 October 2019) | Viewed by 20720

Special Issue Editors

Prof. Dr. Pierluigi Siano

grade E-Mail Website
Guest Editor
Department of Management and Innovation Systems, University of Salerno, 84084 Salerno, Italy
Interests: smart grids; energy management; power systems; demand response
Special Issues, Collections and Topics in MDPI journals
Dr. Miadreza Shafie-khah

E-Mail Website
Guest Editor
School of technology and innovations, University of Vaasa, Wolffintie 34, 65200 Vaasa, Finland
Interests: smart grid; demand response; electric vehicle; power system; electricity market
Special Issues, Collections and Topics in MDPI journals
Dr. Mohammad Reza Salehizadeh

E-Mail Website
Guest Editor
Department of Electrical Engineering, Azad University, Marvdasht, Iran
Interests: power systems; electricity market; renewable energy; decision making; control

Special Issue Information

Dear Colleagues,

We would like to invite submissions to a Special Issue of Energies on the subject of “Intelligent Energy Systems”. Contemporary energy systems are currently in a phase of transition towards smart grid to deal with the large-scale integration of distributed energy resources (DER), intelligent and flexible loads, and electric vehicles. Advanced information and communication technology (ICT) solutions, management concepts, and intelligent devices are some of the crucial enablers of the future smart grids. In order to cope with ever-increasing complexity of the smart grid and cyber-physical components and devices, new architectures, concepts, algorithms, and procedures are essential. This Special Issue aims at encouraging researchers to address the ever-increasing complexity in energy systems in order to facilitate and speed up the transition into smart grids as well as practical and applied experience in different sides of intelligent energy systems. The topics of interest of this special issue include but are not limited to:

  • Advanced modeling and simulation methods for complex energy systems
  • Validation methods of applications and devices
  • Distribution automation
  • Electric vehicles operation, management and control
  • Cyber-physical issues in intelligent energy systems
  • Computational intelligence and soft computing in energy systems
  • Advanced communication systems and approaches for energy systems
  • Resiliency issues in energy systems
  • Internet of Energy
  • Coupled energy systems (such as electricity and gas systems)
  • Advanced control and game-theoretical approaches and applications in energy systems
  • Energy management in smart cities
  • Energy management in green telecommunication systems
  • Energy management in data centers
  • Data management, storage, and recovery in energy systems
  • Uncertainty management of energy systems
  • Control and management of converter-based power systems including offshore grids
  • Demand side management
  • Advanced control and optimization algorithms for smart grids
  • Distribution management systems/SCADA
  • Smart and micro grids
  • Distributed control technology
  • Innovative forecasting methods for smart grid systems
  • Ancillary services for DER
  • Smart devices and intelligent grid participants for energy management
  • Integration of DER devices, storages and intelligent loads
  • DER, intelligent buildings, smart homes, storages, charging devices

Prof. Dr. Pierluigi Siano
Dr. Miadreza Shafie-khah
Dr. Mohammad Reza Salehizadeh
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.

Published Papers (3 papers)

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Research

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24 pages, 4308 KiB  
Article
Analysis Application of Controllable Load Appliances Management in a Smart Home
by Gerardo J. Osório, Miadreza Shafie-khah, Gonçalo C. R. Carvalho and João P. S. Catalão
Energies 2019, 12(19), 3710; https://doi.org/10.3390/en12193710 - 27 Sep 2019
Cited by 14 | Viewed by 2412
Abstract
The residential sector is one of the sectors with the highest rates of electricity consumption worldwide. For years, many studies have been presented in order to minimize energy consumption at the residential level. The idea of such studies is that the residential customer [...] Read more.
The residential sector is one of the sectors with the highest rates of electricity consumption worldwide. For years, many studies have been presented in order to minimize energy consumption at the residential level. The idea of such studies is that the residential customer (RC) is the interested party of their own consumption. Moreover, the algorithms that have been developed to predict and manage the energy consumption, also analyze the behavior of the loads, with the objective of minimizing the energy costs, with good safety, robustness, and comfort levels. In the context of the smart house (SH), one of the objectives of smart grids (SGs) is to enable the RC, with home energy management systems (HEM), to actively participate, allowing for higher reliability at different levels. In this work, a new model that simulates the behavior of an SH, considering heating, ventilation and air conditioning (HVAC) and sanitarian water heater (SWH) devices, is presented. For this purpose, the proposed model considers realistic physical parameters of the SH, together with customer comfort, in order to mitigate the RC disinterest. The proposed model considers the electric vehicle (EV), a battery-based energy storage system (ESS), a micro production unit, and different types of tariffs that the RC might choose, aiming to maximize the benefits, and temporarily shifting the proposed loads. Full article
(This article belongs to the Special Issue Intelligent Energy Systems)
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24 pages, 4663 KiB  
Article
Multi-Period Observation Clustering for Tariff Definition in a Weekly Basis Remuneration of Demand Response
by Cátia Silva, Pedro Faria and Zita Vale
Energies 2019, 12(7), 1248; https://doi.org/10.3390/en12071248 - 01 Apr 2019
Cited by 18 | Viewed by 2831
Abstract
Distributed energy resources can improve the operation of power systems, improving economic and technical efficiency. Aggregation of small size resources, which exist in large number but with low individual capacity, is needed to make these resources’ use more efficient. In the present paper, [...] Read more.
Distributed energy resources can improve the operation of power systems, improving economic and technical efficiency. Aggregation of small size resources, which exist in large number but with low individual capacity, is needed to make these resources’ use more efficient. In the present paper, a methodology for distributed resources management by an aggregator is proposed, which includes the resources scheduling, aggregation and remuneration. The aggregation, made using a k-means algorithm, is applied to different approaches concerning the definition of tariffs for the period of a week. Different consumer types are remunerated according to time-of-use tariffs existing in Portugal. Resources aggregation and remuneration profiles are obtained for over 20.000 consumers and 500 distributed generation units. The main goal of this paper is to understand how the aggregation phase, or the way that is performed, influences the final remuneration of the resources associated with Virtual Power Player (VPP). In order to fulfill the proposed objective, the authors carried out studies for different time frames (week days, week-end, whole week) and also analyzed the effect of the formation of the remuneration tariff by considering a mix of fixed and indexed tariff. The optimum number of clusters is calculated in order to determine the best number of DR programs to be implemented by the VPP. Full article
(This article belongs to the Special Issue Intelligent Energy Systems)
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Review

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17 pages, 1013 KiB  
Review
Future Generation 5G Wireless Networks for Smart Grid: A Comprehensive Review
by Sofana Reka. S, Tomislav Dragičević, Pierluigi Siano and S.R. Sahaya Prabaharan
Energies 2019, 12(11), 2140; https://doi.org/10.3390/en12112140 - 04 Jun 2019
Cited by 117 | Viewed by 13969
Abstract
Wireless cellular networks are emerging to take a strong stand in attempts to achieve pervasive large scale obtainment, communication, and processing with the evolution of the fifth generation (5G) network. Both the present day cellular technologies and the evolving new age 5G are [...] Read more.
Wireless cellular networks are emerging to take a strong stand in attempts to achieve pervasive large scale obtainment, communication, and processing with the evolution of the fifth generation (5G) network. Both the present day cellular technologies and the evolving new age 5G are considered to be advantageous for the smart grid. The 5G networks exhibit relevant services for critical and timely applications for greater aspects in the smart grid. In the present day electricity markets, 5G provides new business models to the energy providers and improves the way the utility communicates with the grid systems. In this work, a complete analysis and a review of the 5G network and its vision regarding the smart grid is exhibited. The work discusses the present day wireless technologies, and the architectural changes for the past years are shown. Furthermore, to understand the user-based analyses in a smart grid, a detailed analysis of 5G architecture with the grid perspectives is exhibited. The current status of 5G networks in a smart grid with a different analysis for energy efficiency is vividly explained in this work. Furthermore, focus is emphasized on future reliable smart grid communication with future roadmaps and challenges to be faced. The complete work gives an in-depth understanding of 5G networks as they pertain to future smart grids as a comprehensive analysis. Full article
(This article belongs to the Special Issue Intelligent Energy Systems)
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