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Empowering Future Generation Smart Grid Using Electric Vehicles (EV)

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "E: Electric Vehicles".

Deadline for manuscript submissions: closed (10 February 2023) | Viewed by 7906

Special Issue Editors


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Guest Editor
Center for Cyber Security, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia
Interests: Telecommunications; Cyber-Physical and Network Security; Internet of Things; Vehicular Networks; smart grid technologies
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
1. Department of Ground Systems, Boeing Defence Australia, Adelaide, SA 5111, Australia
2. GS-APAC, Kellogg Brown and Root, Melbourne, VIC 3004, Australia
Interests: smart grid communications; vehicular communication system
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleauges,

The electric vehicle (EV) promises to be the inevitable transformation of the automotive sector. Its advantages include being emission-free, efficient, and optionally rechargeable. Vehicle-to-grid (V2G) technology enables electric vehicles to communicate with power networks and store extra energy in batteries. The future of V2G technology links its probability with that of the use of electric vehicles. Experts worldwide are skeptical about the feasibility of V2G technology in the future. However, technology is never exactly accepted by everyone at the time of its creation. The future of V2G technology is still bright as V2G technology is developing. The development of smart grid technologies and the production of PEVs (Plug-in Electrical Vehicles) is likely to stimulate it. In recent years, the most relevant technological hurdles affecting EV grid integration have been overcome. Current charging infrastructure and power grids can handle the EV charging process, thus achieving EV-grid integration. However, some of the remaining technical obstacles constitute significant technological barriers, such as those related to the cost of production of EVs, their autonomy, or the efficiency of battery charging. Moreover, car manufacturers present in the EV segment cannot yet develop economies of scale (for vehicles and batteries). EV prices, therefore, remain considerably higher. This factor thus constitutes one of the essential commercial barriers which affect the integration of the EV with the network, in addition to the problems related to the Business Models of the batteries of the EVs, or the ownership of the data and the management of the EV cost infrastructure. Finally, beyond technological, commercial, and organizational barriers, some experts argue that the integration of EVs into the network depends heavily on social factors, such as driver habits, their nervousness at the wheel, etc. Developing a standard for the interoperability of different actors in the value chain and communication technologies and protocols can also ensure the interoperable integration of EVs into the network. Finally, the vertical cooperation of electrical system operators (at different levels) with car manufacturers or horizontal cooperation between other grid operators can contribute to developing an electronic information space to more efficiently and seamlessly manage EV charging processes. Moreover, in addition to the opportunities for cooperation and standardization that can take place in this territory, the development of techniques for optimizing the integration of EVs into the network can redress the constraints to which it is subject. These include, for example, robust programs and algorithms making it possible to locate vehicles better using sensors, or to manage exchanges between vehicles and the network better so that it is profitable for consumers, rather than just for "Utilities", while managing peak electricity demand. Researchers, automakers, and other stakeholders are invited to contribute to a more sustainable power system by optimizing electric vehicles’ energy on the network. Topics relevant to this Special Issue include:

  • Pricing optimization for a vehicle-to-building network;
  • A micro smart-grid to charge a fleet of electric vehicles;
  • Smart grid and mobility: operation, challenges, and prospects of smart grids;
  • The electric vehicle, an electricity storage solution;
  • Smart grids, towards intelligent electricity consumption;
  • Charging management: A challenge in terms of user experience;
  • The integration of renewable energies into the electricity network;
  • Energy transition: smart grids, an asset at the service of green recovery;
  • Technical and non-technical barriers to the installation, operation, and management of charging and refueling technologies;
  • Research challenges in intelligent transportation networks;
  • Vehicle-to-vehicle communications: readiness of V2V technology for application;
  • Vehicular networks for collision avoidance at intersections.

Dr. Mohammad Kamrul Hasan
Dr. Nazmus Shaker Nafi
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

  • vehicle-to-grid
  • energy
  • electric vehicles
  • smart grid
  • power networks
  • batteries

Published Papers (2 papers)

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24 pages, 2876 KiB  
Article
An Energy-Efficient Data Aggregation Clustering Algorithm for Wireless Sensor Networks Using Hybrid PSO
by Sharmin Sharmin, Ismail Ahmedy and Rafidah Md Noor
Energies 2023, 16(5), 2487; https://doi.org/10.3390/en16052487 - 06 Mar 2023
Cited by 14 | Viewed by 2931
Abstract
Extending the lifetime of wireless sensor networks (WSNs) and minimizing energy costs are the two most significant concerns for data transmission. Sensor nodes are powered by their own battery capacity, allowing them to perform critical tasks and interact with other nodes. The quantity [...] Read more.
Extending the lifetime of wireless sensor networks (WSNs) and minimizing energy costs are the two most significant concerns for data transmission. Sensor nodes are powered by their own battery capacity, allowing them to perform critical tasks and interact with other nodes. The quantity of electricity saved from each sensor together in a WSN has been strongly linked to the network’s longevity. Clustering conserves the most power in wireless transmission, but the absence of a mechanism for selecting the most suitable cluster head (CH) node increases the complexity of data collection and the power usage of the sensor nodes. Additionally, the disparity in energy consumption can lead to the premature demise of nodes, reducing the network’s lifetime. Metaheuristics are used to solve non-deterministic polynomial (NP) lossy clustering problems. The primary purpose of this research is to enhance the energy efficiency and network endurance of WSNs. To address this issue, this work proposes a solution where hybrid particle swarm optimization (HPSO) is paired with improved low-energy adaptive clustering hierarchy (HPSO-ILEACH) for CH selection in cases of data aggregation in order to increase energy efficiency and maximize the network stability of the WSN. In this approach, HPSO determines the CH, the distance between the cluster’s member nodes, and the residual energy of the nodes. Then, ILEACH is used to minimize energy expenditure during the clustering process by adjusting the CH. Finally, the HPSO-ILEACH algorithm was successfully implemented for aggregating data and saving energy, and its performance was compared with three other algorithms: low energy-adaptive clustering hierarchy (LEACH), improved low energy adaptive clustering hierarchy (ILEACH), and enhanced PSO-LEACH (ESO-LEACH). The results of the simulation studies show that HPSO-ILEACH increased the network lifetime, with an average of 55% of nodes staying alive, while reducing energy consumption average by 28% compared to the other mentioned techniques. Full article
(This article belongs to the Special Issue Empowering Future Generation Smart Grid Using Electric Vehicles (EV))
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Review

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20 pages, 5253 KiB  
Review
Smart Grid Communication Networks for Electric Vehicles Empowering Distributed Energy Generation: Constraints, Challenges, and Recommendations
by Mohammad Kamrul Hasan, AKM Ahasan Habib, Shayla Islam, Mohammed Balfaqih, Khaled M. Alfawaz and Dalbir Singh
Energies 2023, 16(3), 1140; https://doi.org/10.3390/en16031140 - 20 Jan 2023
Cited by 20 | Viewed by 4277
Abstract
Modern communication networks and digital control techniques are used in a smart grid. The first step is to classify the features of several communication networks and conduct a comparative investigation of the communication networks applicable to the smart grid. The integration of distributed [...] Read more.
Modern communication networks and digital control techniques are used in a smart grid. The first step is to classify the features of several communication networks and conduct a comparative investigation of the communication networks applicable to the smart grid. The integration of distributed generation has significantly increased as the global energy demand rises, and sustainable energy for electric vehicles and renewable energies worldwide are being pursued. Additional explanations for this surge include environmental concerns, the reforming of the power sector, and the advancing of small-scale electricity generation technologies. Smart monitoring and control of interconnected systems are required to successfully integrate distributed generation into an existing conventional power system. Electric-vehicles-based smart grid technologies are capable of playing this part. Smart grids are crucial to avoid becoming locked in an obsolete energy infrastructure and to draw in new investment sources and build an effective and adaptable grid system. To achieve reliability and high-quality power systems, it is also necessary to apply intelligent grid technologies at the bulk power generation and transmission levels. This paper presents smart grid applicable communication networks and electric vehicles empowering distributed generation systems. Additionally, we address some constraints and challenges and make recommendations that will give proper guidelines for academicians and researchers to resolve the current issues. Full article
(This article belongs to the Special Issue Empowering Future Generation Smart Grid Using Electric Vehicles (EV))
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