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Energy Management of Hybrid Vehicle Networks

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

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 2146

Special Issue Editors


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Guest Editor
School of Information Technology, Deakin University, Waurn Ponds Campus, VIC 3216, Australia
Interests: Internet of Things; electric vehicles application; machine learning and optimisation in energy management systems
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Built Environment, Victoria University, PO Box 14428 Melbourne, VIC 8001, Australia
Interests: energy-efficient buildings; indoor air quality (IAQ); fluid mechanics (numerical and simulation, experimental test and analysis); renewable energy systems; clean energy sources; building surveying; passive design

Special Issue Information

Dear Colleagues,

We are inviting submissions to a Special Issue of Energies on the subject of “Energy Management of Hybrid Vehicle Networks (electric/hydrogen)”.

The global market share of plug-in electric/hydrogen vehicles is on the rise, and considering ideal opportunities for the broader introduction of renewables to the transport sector it is also resulting in a rapid increase in charging demand in both spatial and temporal domains. The network and coverage of public charging stations (CSs) are currently constrained by infrastructure costs and availability.

The primary goal of this Special Issue is to show research works on both charging networks for electric and hydrogen vehicles to present solutions in energy markets. Optimal locations and sizing, cost analysis, and energy management strategies are the main criteria for these infrastructures.

Relevant topics include, but are not limited to:

  • Electric vehicle networks in sustainable smart electricity markets;
  • Hydrogen vehicle networks in the energy market;
  • Feasibility studies of charging infrastructures in terms of using batteries and fuel cells;
  • Efficiency analysis of hydrogen energy storage;
  • Economic, policy, and regulatory aspects of charging infrastructures

Dr. Valeh Moghaddam
Dr. Nima Izadyar 
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

  • Optimal sizing and siting
  • Energy storage
  • Hydrogen vehicle network/infrastructure-operation analysis
  • Electric vehicle network/infrastructure-operation analysis
  • Smart charging of hybrid vehicles
  • Real-time energy management
  • Dynamic pricing
  • Demand response/load management
  • Novel vehicular infrastructures and technologies
  • Fixed/portable charging stations

Published Papers (1 paper)

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Research

29 pages, 9737 KiB  
Article
Electric Vehicle Battery-Connected Parallel Distribution Generators for Intelligent Demand Management in Smart Microgrids
by Ali M. Jasim, Basil H. Jasim, Bogdan-Constantin Neagu and Simo Attila
Energies 2023, 16(6), 2570; https://doi.org/10.3390/en16062570 - 08 Mar 2023
Cited by 2 | Viewed by 1467
Abstract
Renewable energy penetration increases Smart Grid (SG) instability. A power balance between consumption and production can mitigate this instability. For this, intelligent and optimizing techniques can be used to properly combine and manage storage devices like Electric Vehicle Batteries (EVBs) with Demand-Side Management [...] Read more.
Renewable energy penetration increases Smart Grid (SG) instability. A power balance between consumption and production can mitigate this instability. For this, intelligent and optimizing techniques can be used to properly combine and manage storage devices like Electric Vehicle Batteries (EVBs) with Demand-Side Management (DSM) strategies. The EVB helps distribution networks with auxiliary services, backup power, reliability, demand response, peak shaving, lower renewable power production’s climate unpredictability, etc. In this paper, a new energy management system based on Artificial Neural Networks (ANNs) is developed to maximize the performance of islanded SG-connected EVBs. The proposed ANN controller can operate at specified periods based on the demand curve and EVB charge level to implement a peak load shaving (PLS) DSM strategy. The intelligent controller’s inputs include the time of day and the EVB’s State of Charge (SOC). After the controller detects a peak demand, it alerts the EVB to start delivering power. This decrease in peak demand enhances the load factor and benefits both SG investors and end users. In this study, the adopted SG includes five parallel Distribution Generators (DGs) powered by renewable resources, which are three solar Photovoltaics (PVs) and two Wind Turbines (WTs). Sharing power among these DGs ensures the SG’s stability and efficiency. To fulfill demand problem-free, this study dynamically alters the power flow toward equity in power sharing using virtual impedance-based adaptive primary control level. This study proposes a decentralized robust hierarchical secondary control system employing Genetic Algorithm (GA)-optimized Proportional-Integral (PI) controller parameters with fine-grained online tuning using ANNs to restore frequency and voltage deviations. The proposed system is evidenced to be effective through MATLAB simulations and real-time data analysis on the ThingSpeak platform using internet energy technology. Our presented model not only benefits users by enhancing their utility but also reduces energy costs with robust implementation of a control structure by restoring any frequency and voltage deviations by distributing power equally among DGs regardless of demand condition variations. Full article
(This article belongs to the Special Issue Energy Management of Hybrid Vehicle Networks)
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