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IOT in Energy System Sustainability

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A: Sustainable Energy".

Deadline for manuscript submissions: closed (30 September 2020) | Viewed by 7688

Special Issue Editors

School of Electrical and Data Engineering, University of Technology Sydney, Sydney, NSW 2007 (PO Box 123), Australia
Interests: renewable energy integration and stabilization; voltage stability; micro grids and smart grids; robust control; electric vehicles; building energy management systems; battery energy storage systems and distributed generations
Special Issues, Collections and Topics in MDPI journals
School of Engineering, University of Tasmania, Private Bag 65 Hobart, Tasmania 7001, Australia
Interests: power engineering; renewable and distributed generation; smart grids; computational intelligence
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

IOT can address rising energy costs and sustainability by connecting, managing, and securing devices that collect data from sensors, sensor networks, and other cyber-physical systems. This is the main focus of the Australasian Universities Power Engineering Conference (AUPEC) 2019 which will be held in Marriott Resort, Momi Bay, Fiji, during November 26–29, 2019. Technical papers are invited from researchers, practicing engineers, and students on any subject related to the scope of the conference that includes, but is not limited to the following major topics:

  • Asset management, diagnostics, and condition monitoring
  • Communications and networks for smart energy systems
  • Demand management and its enabling technology
  • Climate change mitigation by renewable energy
  • Distributed, embedded, and dispersed generation
  • Electrical machines
  • Electric vehicle and energy storage system
  • Electrical machines
  • Electricity markets and power system economics
  • Energy analytics
  • Effective energy storage and management
  • Renewable energy policy
  • Smart grid and cyber security
  • Smart grids and their enabling technologies
  • Energy independence for small island community
  • FACTS, power electronics, and drives
  • High voltage systems
  • IoT application in power systems
  • Transactive energy management for energy trading in microgrids
  • Transmission and distribution system
  • Wind energy (on-shore and off-shore
  • Hydro power (small and micro)
  • Marine energy (wave, tidal current, OTEC, etc.)
  • Microgrid and its operations
  • Power engineering education
  • Power system automation
  • Power system dynamics, stability, control and protection
  • Power system operation and planning

Following the venue, in collaboration with Energies (MDPI), up to 30 high-quality papers from the conference will be invited to submit follow-up articles extending the presented research in a dedicated Special Issue. This opportunity is also advertised on the conference websites http://aupec.org/. The submission should fulfill the following requirements:

(1) The paper should be expanded 50% to the size of a research article (paper published in proceedings)

(2) The conference paper should be cited and noted on the first page of the paper

(3) If the authors do not hold the copyright to the published conference paper, the authors should seek the appropriate permission from the copyright holder

(4) Authors are asked to disclose that it is conference paper in their cover letter and include a statement on what has been changed compared to the original conference paper.

Assoc. Prof. Jahangir Hossain
Prof. Dr. Michael Negnevitsky
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

  • Internet of Things
  • Renewable energy and battery energy storage systems
  • Smart grids
  • Power electronics and electrical machines

Published Papers (3 papers)

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Research

16 pages, 7493 KiB  
Article
Development of HVRT and LVRT Control Strategy for PMSG-Based Wind Turbine Generators
Energies 2020, 13(20), 5442; https://doi.org/10.3390/en13205442 - 19 Oct 2020
Cited by 15 | Viewed by 3806
Abstract
Various challenges are acknowledged in practical cases with high wind power penetration. Fault ride-through (FRT) capability has become the most dominant grid integration requirements for the wind energy conversion system worldwide. The high voltage ride-through (HVRT) and low voltage ride-through (LVRT) performance play [...] Read more.
Various challenges are acknowledged in practical cases with high wind power penetration. Fault ride-through (FRT) capability has become the most dominant grid integration requirements for the wind energy conversion system worldwide. The high voltage ride-through (HVRT) and low voltage ride-through (LVRT) performance play a vital role in the grid-friendly integration into the system. In this paper, a coordinated HVRT and LVRT control strategy is proposed to enhance the FRT capability of the permanent magnet synchronous generator (PMSG)-based wind turbine generators (WTG). A dual-mode chopper protection is developed to avoid DC-link overvoltage, and a deadband protection is proposed to prevent oscillations under edge voltage conditions. The proposed strategy can ride through different levels of voltage sags or swells and provide auxiliary dynamic reactive power support simultaneously. The performance of the proposed control scheme is validated through various comparison case tests in PSCAD/EMTDC. Full article
(This article belongs to the Special Issue IOT in Energy System Sustainability)
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16 pages, 5629 KiB  
Article
A Practical Approach to Optimising Distribution Transformer Tap Settings
Energies 2020, 13(18), 4889; https://doi.org/10.3390/en13184889 - 18 Sep 2020
Cited by 1 | Viewed by 1905
Abstract
This paper proposes a method of determining the optimal tap settings for no-load distribution transformers with tap-changing capabilities that is practical to apply in real distribution networks. The risk of low voltage distribution networks violating voltage constraints is impacted by the increasing uptake [...] Read more.
This paper proposes a method of determining the optimal tap settings for no-load distribution transformers with tap-changing capabilities that is practical to apply in real distribution networks. The risk of low voltage distribution networks violating voltage constraints is impacted by the increasing uptake of distributed energy resources and embedded generation. Some of this risk can be alleviated by suitably setting no-load transformer tap settings, however, modifying these taps requires customer outages and must be infrequent. Hence, loading over the entire year must be considered to account for seasonal variations when setting these taps optimally. These settings are determined using evolution strategy optimisation based on an average loading case. Monte Carlo simulations are used to calculate the probability that the terminal voltages on the distribution transformer secondary terminals violate the network voltage limits when the optimal set of taps for the average case is applied over a whole year. This algorithm was tested on several cases of a real distribution feeder of varying complexity, and produces a sufficiently-optimal set of taps without significant computation time. Full article
(This article belongs to the Special Issue IOT in Energy System Sustainability)
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17 pages, 1761 KiB  
Article
A Lifetime-Enhancing Method for Directional Sensor Networks with a New Hybrid Energy-Consumption Pattern in Q-coverage Scenarios
Energies 2020, 13(4), 824; https://doi.org/10.3390/en13040824 - 13 Feb 2020
Cited by 3 | Viewed by 1503
Abstract
An important issue in directional sensor networks (DSNs) is how to prolong the network lifetime in Q-coverage scenarios where each target point may have different coverage requirements. When the Q-coverage requirement is met, it is an effective way to maximize the network lifetime [...] Read more.
An important issue in directional sensor networks (DSNs) is how to prolong the network lifetime in Q-coverage scenarios where each target point may have different coverage requirements. When the Q-coverage requirement is met, it is an effective way to maximize the network lifetime by controlling energy consumptions. Unlike the existing results where only the sensing energy consumption is considered, this paper proposes a new hybrid energy consumption pattern, which reflects the reality of energy consumptions more closely. In such a pattern, both sensing and communication energy consumptions are considered. By combining scheduling and clustering technologies to control these two kinds of energy consumptions in each round, a new lifetime-enhancing method (NLEM) is devised to prolong the network lifetime. First, a sensing direction scheduling algorithm for Q-coverage is proposed to make different sensing direction sets meet the coverage requirement of each target point. Then, a new cluster head selection algorithm and an inter-cluster communication algorithm are developed to select an optimal cluster head set and achieve multi-hop communication, respectively. Simulation results demonstrate the effectiveness of the NLEM in prolonging the network lifetime for DSNs in Q-coverage scenarios. Full article
(This article belongs to the Special Issue IOT in Energy System Sustainability)
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