Special Issue "Smart Power & Internet Energy Systems"

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

Deadline for manuscript submissions: closed (30 November 2019).

Special Issue Editors

Dr. Apel Mahmud
Website
Guest Editor
Center for Smart Power and Energy Research, School of Engineering, Deakin University, Geelong, VIC 3216, Australia
Interests: power system modelling; power system stability and control; microgrids (AC, DC, and hybrid AC/DC); grid integration of renewable energy sources (small- and large-scale); transactive energy management and optimization for microgrids; nonlinear control theory and applications
Special Issues and Collections in MDPI journals
Dr. Md Enamul Haque
Website
Guest Editor
School of Engineering, Deakin University, 75 Pigdons road, Waurn Ponds, VIC3216, Australia
Interests: control of power electronic converters for renewable energy (wind, solar PV, FUEL CELL) SYSTEMS; MICROGRID; BATTERY/SUPERCAPACITOR ENERGY STORAGE SYSTEM; MOTOR DRIVE FOR ELECTRIC VEHICLE (EV) and EV system technologies; cyber security in power electronics system/microgrid/smartgrid
Special Issues and Collections in MDPI journals
Prof. Dr. Aman Maung Than Oo
Website
Guest Editor
Centre for Smart Power Engineering Research (CSPER), School of Engineering, Deakin University, Geelong, VIC 3216, Australia
Interests: smart grid; renewable energy integration; power system stability and control; microgrids; net zero energy systems
Special Issues and Collections in MDPI journals
Prof. Tyrone Fernando
Website
Guest Editor
School of Electrical, Electronic and Computer EngineeringThe University of Western Australia, Perth, WA 6009, Australia
Interests: power system dynamics; state estimation; smart grid; renewable energy
Prof. Dr. Herbert Ho-Ching Iu
Website
Guest Editor
School of Electrical, Electronic and Computer Engineering, The University of Western Australia, Perth, WA 6009, Australia
Interests: power electronics; chaos, smart grid; renewable energy; nonlinear dynamics
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

In recent years, energy systems have evolved with smart technologies, where the internet plays a major role. This Special Issue focuses on creating an archival value with state-of-the-art research activities in the domain of smart power and internet energy systems. Smart technologies in conjunction with the application of the internet improve the overall operational efficiency and reliability of the system. At the same time, there are some challenges such as the control, optimal resource utilization, cyber security, and many more. Therefore, it is essential to address these challenges, and this Special Issue will stress (but not be limited to)the following key topics:  

  • Smart power grids;
  • Big data analytics for smart grids;
  • Renewable energy in smart grids;
  • Energy internet for data centers;
  • Energy internet for energy management;
  • Energy internet for demand side management;
  • Applications of artificial intelligent in energy internet;
  • Virtual power plants;
  • Blockchain technologies for energy systems;
  • IoT for energy systems;
  • Energy internet for modeling and control of energy systems;
  • Customer or value-driver smart energy systems;
  • Applications of energy internet for smart power networks with electric vehicles.

Dr. Apel Mahmud
Dr. Enamul Haque
Prof. Aman Maung Than Oo
Prof. Tyrone Fernando
Prof. Herbert Ho-Ching Iu
Assoc. Prof. S M Muyeen
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 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 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 1800 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

  • smart power grids
  • big data analytics for smart grids
  • renewable energy in smart grids
  • energy internet for data centers
  • energy internet for energy management
  • energy internet for demand side management
  • applications of artificial intelligent in energy internet
  • virtual power plants
  • blockchain technologies for energy systems
  • IoT for energy systems
  • energy internet for modeling and control of energy systems
  • customer or value-driver smart energy systems
  • applications of energy internet for smart power networks with electric vehicles

Published Papers (4 papers)

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Research

Open AccessArticle
Comparative Study on Game-Theoretic Optimum Sizing and Economical Analysis of a Networked Microgrid
Energies 2019, 12(20), 4004; https://doi.org/10.3390/en12204004 - 21 Oct 2019
Abstract
In this paper, two techniques of game theory are considered for sizing and comparative analysis of a grid-connected networked microgrid, based on a multi-objective imperialistic competition algorithm (ICA) for system optimization. The selected networked microgrid, which consists of two different grid-connected microgrids with [...] Read more.
In this paper, two techniques of game theory are considered for sizing and comparative analysis of a grid-connected networked microgrid, based on a multi-objective imperialistic competition algorithm (ICA) for system optimization. The selected networked microgrid, which consists of two different grid-connected microgrids with common electrical load and main grid, might have different combinations of generation resources including wind turbine, photovoltaic panels, and batteries. The game theory technique of Nash equilibrium is developed to perform the effective sizing of the networked microgrid in which capacities of the generation resources and batteries are considered as players and annual profit as payoff. In order to meet the equilibrium point and the optimum sizes of generation resources, all possible coalitions between the players are considered; ICA, which is frequently used in optimization applications, is implemented using MATLAB software. Both techniques of game theory, Shapley values and Nash equilibrium, are used to find the annual profit of each microgrid, and results are compared based on optimum sizing, and maximum values of annual profit are identified. Finally, in order to validate the results of the networked microgrid, the sensitivity analysis is studied to examine the impact of electricity price and discount rates on maximum values of profit for both game theory techniques. Full article
(This article belongs to the Special Issue Smart Power & Internet Energy Systems)
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Open AccessArticle
Characterization of a Practical-Based Ohmic Series Resistance Model under Life-Cycle Changes for a Lithium-Ion Battery
Energies 2019, 12(20), 3888; https://doi.org/10.3390/en12203888 - 14 Oct 2019
Cited by 2
Abstract
Understanding battery characteristic behaviors is indispensable in designing and managing large-scale battery-based energy storage systems in high-power applications. This paper presents a practical-based characterization method to model the ohmic series resistance of lithium-ion batteries under life-cycle consideration. Aging cells were prepared in a [...] Read more.
Understanding battery characteristic behaviors is indispensable in designing and managing large-scale battery-based energy storage systems in high-power applications. This paper presents a practical-based characterization method to model the ohmic series resistance of lithium-ion batteries under life-cycle consideration. Aging cells were prepared in a controlled environment, and the testing information was automatically characterized using a developed computer-based battery test system. An experimental methodology based on the cycling of pulse tests is applied for modeling the ohmic series resistance. Several aspects of the testing parameters during the cycling operations, such as the characteristic changes of the ohmic series resistance, amplitudes of the periodic test current, cell capacity, state of charge, and the rate of change of the resistance increment, are also investigated and analyzed so as to fulfill the resistance model. The accuracy of the proposed model is verified by comparing the testing information, showing a satisfactory result. Full article
(This article belongs to the Special Issue Smart Power & Internet Energy Systems)
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Open AccessArticle
Peer-to-Peer Energy Trading of a Community Connected with an AC and DC Microgrid
Energies 2019, 12(19), 3709; https://doi.org/10.3390/en12193709 - 27 Sep 2019
Cited by 3
Abstract
The awareness of self-consumption of grid-connected roof-top solar photovoltaic (PV) owners in a community and the advancement in information and communication technologies (ICT) led to the development of a novel peer-to-peer energy trading mechanism for next-generation power systems. In the peer-to-peer (P2P) energy [...] Read more.
The awareness of self-consumption of grid-connected roof-top solar photovoltaic (PV) owners in a community and the advancement in information and communication technologies (ICT) led to the development of a novel peer-to-peer energy trading mechanism for next-generation power systems. In the peer-to-peer (P2P) energy trading landscape, the prosumers and consumers self-organize and trade energy among themselves. In recent years, the large penetration of distributed energy resources, as well as the advancement of technologies in the fields of protection, power electronics, and storage devices, led to the use of direct current (DC) home appliances by the end-users, i.e., consumers in a community. In this paper, the operational costs of an individual household and community when operated with alternating current (AC) and DC home appliances are calculated using bill sharing and the mid-market rate method for various degrees of PV penetration. The bill sharing method shares the operational cost and income among all the peers in proportion to the amount of energy they consume/generate. The mid-market rate method calculates the P2P internal price at the median of the import and export price based on the relationship between total generation and demand. In terms of operational cost, both producers and consumers benefit fairly when the mid-market rate method is used when the households in a community are operated with DC home appliances. Full article
(This article belongs to the Special Issue Smart Power & Internet Energy Systems)
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Open AccessArticle
Optimal Stator Design of Doubly Salient Permanent Magnet Generator for Enhancing the Electromagnetic Performance
Energies 2019, 12(16), 3201; https://doi.org/10.3390/en12163201 - 20 Aug 2019
Cited by 3
Abstract
An optimal stator design technique of a three-phase doubly salient permanent magnet generator (DSPMG) for improving the output power is proposed. The stator configuration was optimally designed by adjusting the stator pole depth and stator pole arc. The trapezoid outer stator tip was [...] Read more.
An optimal stator design technique of a three-phase doubly salient permanent magnet generator (DSPMG) for improving the output power is proposed. The stator configuration was optimally designed by adjusting the stator pole depth and stator pole arc. The trapezoid outer stator tip was also designed. Then, the output characteristics of the designed DSPMG including the flux linkage, electromotive force (EMF), harmonic, cogging torque, efficiency, magnetic flux distribution and voltage regulation were characterized by using the finite element method. Results were compared to the original structure in the literature. It was found that the flux linkage, EMF, cogging torque, and efficiency of the proposed DSPMG were significantly improved after the stator pole depth and stator pole arc were suitably modified. Further details of optimal stator pole depth and stator pole arc are presented. The EMF produced by the optimal proposed structure was 47% higher than that of the conventional structure, while 56% cogging torque improvement and 20% increased efficiency were achieved. The EMF generated by the proposed structure was classified in the high-range scale compared to the other existing models. The symmetrical magnetic flux distribution of all structures was indicated. The voltage regulation of the modified structure was also significantly improved from the conventional model. The proposed design technique can be utilized to maximize the electromagnetic performance of this particular generator type. Full article
(This article belongs to the Special Issue Smart Power & Internet Energy Systems)
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