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Smart Energy Grid for Sustainable Cities and Societies
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Smart Energy Grid for Sustainable Cities and Societies

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".

Deadline for manuscript submissions: closed (31 July 2020) | Viewed by 7688

Special Issue Editor

Dr. Robi Islam

E-Mail Website
Guest Editor
School of Science and Engineering, University of the Sunshine Coast, QLD 4556 Australia
Interests: electrical and electronic engineering; renewable energy; power systems; micro and smart grids; electrification of transportation; IOT and control system

Special Issue Information

Dear Colleagues,

Sustainable energy is one of the most anticipated elements for the design of an energy gird for the modern community. Recently, the integration of renewable energy sources along with the smart devices (i.e., IOT devices) have made the grid more user-friendly and at the same time vulnerable to system security. Power grid and energy network architectures have consequences for system efficiency and economics, while the design of smart distribution network becomes challenging due to the penetration of new loads into it. Electrical vehicles are playing an important role as load, and surely, that can be used to improve the power quality and to meet the peak load demand.

Considering this situation, the journal will try to identify innovative and exciting ideas to design a smart energy grid for sustainable cities and societies.

Dr. Robi Islam
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 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. Sustainability 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 2400 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 grid
  • microgrid
  • power system network
  • IOT for energy
  • energy efficiency

Published Papers (3 papers)

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Research

18 pages, 2117 KiB  
Article
Upcoming Services Innovation for the Home Energy Management System in Korea
by Hyeog-in Kwon, Ju-ho Kim, Moo-goong Hong and Eui-jin Park
Sustainability 2020, 12(18), 7261; https://0-doi-org.brum.beds.ac.uk/10.3390/su12187261 - 04 Sep 2020
Cited by 2 | Viewed by 2533
Abstract
Smart grid technology is developed to be commercialized globally, and expected to be utilized at home, named as home energy management system. Despite of its promising marketability, innovative business models are not well-structured and service design methods have limitations on integration for service [...] Read more.
Smart grid technology is developed to be commercialized globally, and expected to be utilized at home, named as home energy management system. Despite of its promising marketability, innovative business models are not well-structured and service design methods have limitations on integration for service innovation. Hence, this study employs service-dominant logic to innovate the industry, and introduces the holistic method consisting of service, ecosystem, platform, and strategy. Firstly, it identifies the pain points, and the expected services are arranged using an importance–performance analysis method. Then, the extended ecosystem is defined in three layers perspectives. In addition, the use-case method is used to demonstrate the relationships between the supplier and users on platform. Finally, integrating customers’ needs results in two business models: (i) Home Energy management Model and (ii) Home Care Model. This research not only suggests innovative business models in the home energy market, but also supplements the procedure for designing innovative services and applies it with qualitative and quantitative investigation. To the end, it shed light on the direction and way to actualize future Home Energy Management System (HEMS) market. Full article
(This article belongs to the Special Issue Smart Energy Grid for Sustainable Cities and Societies)
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17 pages, 1713 KiB  
Article
Configurations of Aromatic Networks for Power Distribution System
by K. Prakash, F. R. Islam, K. A. Mamun and H. R. Pota
Sustainability 2020, 12(10), 4317; https://0-doi-org.brum.beds.ac.uk/10.3390/su12104317 - 25 May 2020
Cited by 6 | Viewed by 2619
Abstract
A distribution network is one of the main parts of a power system that distributes power to customers. While there are various types of power distribution networks, a recently introduced novel structure of an aromatic network could begin a new era in the [...] Read more.
A distribution network is one of the main parts of a power system that distributes power to customers. While there are various types of power distribution networks, a recently introduced novel structure of an aromatic network could begin a new era in the distribution levels of power systems and designs of microgrids or smart grids. In order to minimize blackout periods during natural disasters and provide sustainable energy, improve energy efficiency and maintain stability of a distribution network, it is essential to configure/reconfigure the network topology based on its geographical location and power demand, and also important to realize its self-healing function. In this paper, a strategy for reconfiguring aromatic networks based on structures of natural aromatic molecules is explained. Various network structures are designed, and simulations have been conducted to justify the performance of each configuration. It is found that an aromatic network does not need to be fixed in a specific configuration (i.e., a DDT structure), which provides flexibility in designing networks and demonstrates that the successful use of such structures will be a perfect solution for both distribution networks and microgrid systems in providing sustainable energy to the end users. Full article
(This article belongs to the Special Issue Smart Energy Grid for Sustainable Cities and Societies)
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16 pages, 2591 KiB  
Article
Fault Classifications in Distribution Systems Consisting of Wind Power as Distributed Generation Using Discrete Wavelet Transforms
by Theerasak Patcharoen and Atthapol Ngaopitakkul
Sustainability 2019, 11(24), 7209; https://0-doi-org.brum.beds.ac.uk/10.3390/su11247209 - 16 Dec 2019
Cited by 4 | Viewed by 2125
Abstract
This paper proposed a fault type classification algorithm in a distribution system consisting of multiple distributed generations (DGs). The study also discussed the changing of signal characteristics in the distribution system with DGs during the occurrence of different fault types. Discrete Wavelet Transform [...] Read more.
This paper proposed a fault type classification algorithm in a distribution system consisting of multiple distributed generations (DGs). The study also discussed the changing of signal characteristics in the distribution system with DGs during the occurrence of different fault types. Discrete Wavelet Transform (DWT)-based signal processing has been used to construct a classification algorithm and a decision tree to classify fault types. The input data for the algorithm is extracted from the three-phase current signal under normal conditions and during fault occurrence. These signals are recorded from the substation, load, and DG bus. The performance of the proposed classifying algorithm has been tested on a simulation system that was modeled after part of Thailand’s 22 kV distribution system, with a 2-MW wind power generation as the DG, connected to the distribution line by PSCAD software. The parameters that were taken into consideration consisted of the fault type, location of the fault, location of DG(s), and the number of DGs, to evaluate the performance of the proposed algorithm under various conditions. The result of the simulation indicated significant changes in current signal characteristics when installing DGs. In addition, the proposed algorithm has achieved a satisfactory accuracy in terms of identifying and classifying fault types when applied to a distribution system with multiple DGs. Full article
(This article belongs to the Special Issue Smart Energy Grid for Sustainable Cities and Societies)
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