Topic Editors

Dr. Hugo Morais
INESC-ID, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal
Dr. Junjie Hu
School of Electrical and Electronic Engineering, North China Electric Power University, 102206 Beijing, China
Prof. Dr. Matej Zajc
Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia

Smart Grids: Electrical Power Networks and Communication Systems

Abstract submission deadline
31 December 2022
Manuscript submission deadline
31 March 2023
Viewed by
1664

Topic Information

Dear Colleagues,

Electrical power grids and communication systems are the foundation of the energy transition that will be required in the coming years. These infrastructures should be more secure, reliable and resilient, in order to enable the integration of more renewable energy sources and new types of loads and consumers. Coordination between stakeholders, market and grid operators requires new approaches and tools for managing energy systems. However, improved ICT technologies need to be developed to provide the required level of coordination. We are pleased to invite the research community to submit review papers or regular research papers on topics including but not limited to the following, related to electric power grids and communication systems:

  • Hydrogen systems;
  • Storage technologies and systems;
  • Demand response;
  • Electrical Vehicles;
  • Planning, operation, control, and management;
  • Modeling, simulation, and data management;
  • Power electronic converters and drives;
  • Smart thermal grids;
  • Smart gas grids;
  • Smart electricity grids;
  • Energy efficient systems;
  • Virtual power plants;
  • Renewable energy production and integration;
  • Micro-Grids;
  • Off-grid hybrid renewable systems;
  • Artificial intelligence and optimization;
  • Smart homes, cities, and communities;
  • Efficient buildings and Net Zero Energy Buildings;
  • Power quality;
  • Protection systems and reliability;
  • Sensors, communications, and intelligent networking;
  • Security and privacy of data exchange;
  • Local markets;
  • Flexibility markets;
  • Internet of Things;
  • TSO/DSO coordination;
  • Edge devices and intelligence.

Dr. Hugo Morais
Dr. Junjie Hu
Prof. Dr. Matej Zajc
Topic Editors

Keywords

  • Smart Grids
  • Power System Reliability and Resilience
  • Power System Flexibilities
  • Electricity Markets
  • System Operators Coordination

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Electricity
electricity
- - 2020 26.3 Days 1000 CHF Submit
Electronics
electronics
2.690 3.7 2012 17.6 Days 2000 CHF Submit
Energies
energies
3.252 5.0 2008 17.8 Days 2200 CHF Submit

Published Papers (4 papers)

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Article
Modified Master–Slave Controller for Stable Power Supply of Energy Storage Based Microgrid
Energies 2022, 15(12), 4245; https://doi.org/10.3390/en15124245 - 09 Jun 2022
Abstract
This paper presents a method for supplying stable electricity using renewable energy sources and energy storage systems (ESSs) in a small-scale microgrid (MG) such as an island. Traditional control methods, such as master–slave control and droop control, have focused on equalizing power sharing [...] Read more.
This paper presents a method for supplying stable electricity using renewable energy sources and energy storage systems (ESSs) in a small-scale microgrid (MG) such as an island. Traditional control methods, such as master–slave control and droop control, have focused on equalizing power sharing among a small number of generators and do not deal well with emergencies such as unplanned generator failures. This paper proposes a control method that can stably maintain the frequency of the MG in various situations by combining the advantages of master–slave control and droop control and complementing the disadvantages. Simulations were performed under various conditions to verify the proposed control method. Full article
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Article
Broadband Dynamic Phasor Measurement Method for Harmonic Detection
Electronics 2022, 11(11), 1667; https://doi.org/10.3390/electronics11111667 - 24 May 2022
Abstract
A large number of nonlinear loads and distributed energy sources are connected to the power system, leading to the generation of broadband dynamic signals including inter-harmonics and decaying DC (DDC) components. This causes deterioration of power quality and errors during power measurement. Therefore, [...] Read more.
A large number of nonlinear loads and distributed energy sources are connected to the power system, leading to the generation of broadband dynamic signals including inter-harmonics and decaying DC (DDC) components. This causes deterioration of power quality and errors during power measurement. Therefore, effective phasor estimation methods are needed for accurate monitoring and effective analysis of harmonics and interharmonic phasors. For this purpose, an algorithm is proposed in this paper that is implemented in two parts. The first part is based on the least square method in order to obtain accurate DDC component. In the second part, a Taylor–Fourier model of broadband dynamic harmonic phasor is established. The regularization optimization problem of the sparse acquisition model is solved by harmonic vector estimation method. Finally, the piecewise Split-Bregman Iterative (SBI) framework is used to obtain the estimated value of the harmonic phasor measurement and to realize the reconstruction of the original signal. Through simulation and performance test, the proposed algorithm significantly improves the accuracy of the phasor measurement and estimation, and can provide a reliable theoretical basis for the PMU measurement. Full article
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Article
Performance of an Adaptive Aggregation Mechanism in a Noisy WLAN Downlink MU-MIMO Channel
Electronics 2022, 11(5), 754; https://doi.org/10.3390/electronics11050754 - 01 Mar 2022
Abstract
This paper investigates an adaptive frame aggregation technique in the medium access control (MAC) layer for the Wireless Local Area Network (WALN) downlink Multi-User–Multiple-In Multiple-Out (MU-MIMO) channel. In tackling the challenges of heterogeneous traffic demand among spatial streams, we proposed a new adaptive [...] Read more.
This paper investigates an adaptive frame aggregation technique in the medium access control (MAC) layer for the Wireless Local Area Network (WALN) downlink Multi-User–Multiple-In Multiple-Out (MU-MIMO) channel. In tackling the challenges of heterogeneous traffic demand among spatial streams, we proposed a new adaptive aggregation algorithm which has a superior performance over the baseline First-in–First-Out (FIFO) scheme in terms of system throughput performance and channel utilization. However, this earlier work does not consider the effects of wireless channel error. In addressing the limitations of this work, this study contributes an enhanced version of the earlier model considering the effect of channel error. In this approach, a dynamic adaptive aggregation selection scheme is proposed by employing novel criteria for selecting the optimal aggregation policy in WLAN downlink MU-MIMO channel. Two simulation setups are conducted to achieve this approach. The simulation setup in Step 1 performs the dynamic optimal aggregation policy selection strategy as per the channel condition, traffic pattern, and number of stations in the network. Step 2 then performed the optimal wireless frame construction that would be transmitted in the wireless channel in adopting the optimal aggregation policy obtained from Step 1 that maximizes the system performance. The proposed adaptive algorithm not only achieve the optimal system throughput in minimizing wasted space channel time but also provide a good performance under the effects of different channel conditions, different traffic models such as Pareto, Weibull, and fBM, and number of users using the traffic mix of VoIP and video data. Through system-level simulation, our results again show the superior performance of our proposed aggregation mechanism in terms of system throughput performance and space channel time compared to the baseline FIFO aggregation approach. Full article
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Article
Performance Analysis of a Dynamic Line Rating System Based on Project Experiences
Energies 2022, 15(3), 1003; https://doi.org/10.3390/en15031003 - 29 Jan 2022
Abstract
This paper aims to demonstrate the performance and reliability analysis of a dynamic line rating (DLR) system at the Bulgarian demonstration site of the FLEXITRANSTORE project. As part of the project, various manufacturers’ different line monitoring DLR sensors and weather stations were installed [...] Read more.
This paper aims to demonstrate the performance and reliability analysis of a dynamic line rating (DLR) system at the Bulgarian demonstration site of the FLEXITRANSTORE project. As part of the project, various manufacturers’ different line monitoring DLR sensors and weather stations were installed on a 110 kV double-circuit overhead line (OHL). These devices provided input parameters to the DLR system based on objective measurements. This paper used statistical tools to examine the reliability and accuracy of installed devices, thus making products from different manufacturers comparable. In addition, two independent line monitoring and DLR models have been developed: the black-box and extended white-box models. The performances of the two models were analyzed for the same input parameters and compared to the field measurements. Based on the presented results, the reliability and accuracy of the applied weather stations of different companies were almost the same. This conclusion cannot be said for DLR line monitoring sensors, where the devices could be differentiated based on reliability and measurement accuracy results. In terms of models, the usability of the extended white-box model seemed to be limited in certain weather conditions, implicating a more significant role for soft-computing-based DLR models in the future. In addition to the results, root causes for the errors and future directions that may provide a framework for further research are also presented. Full article
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