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Advances in Modern Electricity Distribution Networks
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Advances in Modern Electricity Distribution Networks

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A1: Smart Grids and Microgrids".

Deadline for manuscript submissions: closed (30 August 2023) | Viewed by 4952

Special Issue Editor

Dr. Thair Mahmoud

E-Mail Website
Guest Editor
School of Engineering, Edith Cowan University, Joondalup, WA 6027, Australia
Interests: artificial intelligence; resource adequacy; electricity market modelling; forecasting modelling and network planning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The change in the traditional power systems towards integrating a high level of utility-scale renewable energy sources at the transmission level and Distributed Energy Resources (DER) at the distribution level push Network Service Providers (NSPs) to research non-traditional and intelligent solutions to manage their networks. The challenges associated with the high level of inverter-based renewable energy are divided into managing an existing asset and planning for enforcing this asset for the short and long term at minimal operating costs. Focusing on the distribution side of the network, there are a number of challenges that NSPs are trying to address to be able to operate their networks with this level of complication without compromising the required level of the reliability index. The challenges are associated with maintaining acceptable network loading, voltage profile and fault levels dynamically with the change in consumer behaviour that results from the interaction of rooftop PVs, Battery Energy Storage Systems (BESS) and Electric Vehicles (EVs) with the networks.

This Special Issue aims to present and discuss the most up-to-date topics on modern distribution network operation issues and the proposed solutions. The solutions expected include the application of artificial intelligence in advance modelling techniques for load forecasting and consumer behaviours, testing intelligent demand response approaches that achieve lower operating costs for distribution networks, investigation of novel voltage control approaches for distribution networks and examination of different optimisation methods in sizing network asset.

Topics of interest for publication include, but are not limited to:

  • Advanced levels of network modelling and simulation which includes estimation of fault level and voltage profile.
  • Optimum sizing of distribution network asset for optimum planning.
  • Adaptive PVs, BESS and EVs inverters controllers for optimum voltage control at distribution networks.
  • Analysis of consumer behaviour and load forecasting modelling at the distribution networks level.
  • Demand response (Electric Vehicles, BESS and Dynamic Load).
  • Investigation of new performance standards for integrating distributed energy sources (DER) on distribution networks.
  • Distribution energy markets modelling and testing of various types of market design.

Dr. Thair Mahmoud
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. 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

  • Distribution Networks
  • Smart Grids
  • DER Distribution Grids Integration Codes
  • Distribution Energy Markets
  • Electric Vehicles Fleet Management
  • Optimum Sizing of BESS on Distribution Networks
  • DER inverter VARs management for voltage control on Distribution Networks
  • Optimum network switching for operation planning
  • Load Forecasting Modelling
  • Artificial Neural Networks
  • Multi-Agent System
  • Optimization.

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Published Papers (2 papers)

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Research

15 pages, 6144 KiB  
Article
ML-Based Intermittent Fault Detection, Classification, and Branch Identification in a Distribution Network
by Mojgan Hojabri, Severin Nowak and Antonios Papaemmanouil
Energies 2023, 16(16), 6023; https://doi.org/10.3390/en16166023 - 17 Aug 2023
Cited by 10 | Viewed by 1957
Abstract
The accurate detection and identification of intermittent cable faults are helpful in improving the reliability of the distribution system. This paper proposes intermittent fault detection and identification for distribution networks based on machine-learning (ML) techniques. For this reason, the IEEE 33 bus system [...] Read more.
The accurate detection and identification of intermittent cable faults are helpful in improving the reliability of the distribution system. This paper proposes intermittent fault detection and identification for distribution networks based on machine-learning (ML) techniques. For this reason, the IEEE 33 bus system is simulated in the radial and mesh topologies by considering all possible single- and three-phase electrical faults and limitations to collect high-resolution voltage and current waveforms. Moreover, this simulation investigates and considers various cases including low-impedance faults (LIFs) and high-impedance faults (HIFs) with a short and long duration. The collected data from the simulation are used for high-impedance intermittent fault detection, classification, and branch identification using eight supervised learning methods. A comparison between the accuracy and error of these ML classifiers shows that gradient booster (GB) and K-nearest neighbors (KNN) have the best performance for all three objectives. However, GB has a very high computation time compared to KNN. Full article
(This article belongs to the Special Issue Advances in Modern Electricity Distribution Networks)
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18 pages, 2216 KiB  
Article
Power Quality Measurement Results for a Configurable Urban Low-Voltage DC Microgrid
by Helko E. van den Brom, Ronald van Leeuwen, Gerasimos Maroulis, Samad Shah and Laurens Mackay
Energies 2023, 16(12), 4623; https://doi.org/10.3390/en16124623 - 10 Jun 2023
Cited by 9 | Viewed by 1738
Abstract
The growing use of renewable energy sources and sustainable technologies has increased the attractiveness of low-voltage DC distribution grids. Despite initial research and standardization work, the definition of power quality (PQ) issues and their related compatibility levels in DC grids and the related [...] Read more.
The growing use of renewable energy sources and sustainable technologies has increased the attractiveness of low-voltage DC distribution grids. Despite initial research and standardization work, the definition of power quality (PQ) issues and their related compatibility levels in DC grids and the related measurement techniques remain in their infancy. The lack of available measurement results obtained in real-world situations is a major shortcoming. In this paper, the results of a measurement campaign obtained in a configurable bipolar 350 V/700 V DC microgrid in an urban environment are presented. Voltage and current signals were registered continuously at different positions in the microgrid with a sampling rate of 500 kSa/s while changing the configuration of the microgrid; the resulting data were analyzed afterwards, with a focus on DC voltage and current variation, ripple, and spectral analysis. The measurements were taken with custom-designed metrology-sound measurement equipment. The measurement results provide input to the development of DC PQ analysis tools and the standardization of DC PQ measurement methods. Furthermore, the experience obtained will be beneficial for utility companies and regulatory authorities for reliable planning-level and compatibility-level surveys. Full article
(This article belongs to the Special Issue Advances in Modern Electricity Distribution Networks)
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