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Advances in Information and Communication Technologies (ICT) for Smart Grids
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Advances in Information and Communication Technologies (ICT) for Smart Grids

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information and Communications Technology".

Deadline for manuscript submissions: closed (31 December 2019) | Viewed by 7738

Special Issue Editors

Dr. Taha Selim Ustun

E-Mail Website
Guest Editor
Power System Automation and Cybersecurity Lab, Fukushima Renewable Energy Institute, Advanced Industrial Science and Technology (AIST), Koriyama 963-0298, Japan
Interests: power system protection; renewable energy; microgrid design; electric vehicle–grid integration; smart grid communications; substation automation; IEC 61850; IEC 62351; cybersecurity for power systems
Special Issues, Collections and Topics in MDPI journals
Dr. Suhail S.M. Hussain

E-Mail Website1 Website2
Guest Editor
Fukushima Renewable Energy Institute, AIST (FREA), National Institute of Advanced Industrial Science and Technology (AIST), Koriyama 963-0298, Japan
Interests: microgrids; IEC 61850; substation automation; power system communications
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Smart grids can improve the grid stability, energy reliability, energy security, efficiency and power quality. Despite the many benefits of the smart grid, there are many challenges in its implementation. Effective and reliable communication between different smart grid entities helps to improve the overall efficiency of smart grids. Information and communication technologies (ICT) play a major role in the effective management and implementation of smart grids. In the past few years, we have witnessed a rapid development of advanced ICT. The recent technical advances in ICT applied to smart grids will significantly improve the efficiency, reliability and security of smart grid operations. This Special Issue will address a comprehensive overview of the state-of-the-art in technology and recent research advances in ICT for smart grids, including theoretical proposals, tools, applications, systems, test-beds and field deployments. Both theoretical derivations or practical developments of ICT systems and testbeds for smart grids are welcomed. Suggested topics include but are not limited to the following:

  • ICT technologies to enable the smart grids and microgrids
  • Communication technologies for smart grid operation and control
  • ICT for renewable energy integration to smart grids
  • Internet of Things (IoT)-based smart grid systems
  • Energy internet and smart grids
  • Communication standards and protocols for smart grids
  • Smart metering and advanced metering infrastructure
  • Advancements of ICT for synchrophasor communications
  • Smart grids and PMUs
  • Communication-centric solutions for demand response, demand side management, and energy management
  • Data acquisition and data analytics for smart grids
  • Cybersecurity in smart grids

Dr. Taha Selim Ustun
Dr. S.M. Suhail Hussain
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. Information is an international peer-reviewed open access monthly 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 1600 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

  • Information and Communication Technologies (ICT)
  • Smart Grids
  • Power system communications
  • Cyber-security
  • Energy Internet
  • Internet of Things (IoT)

Published Papers (2 papers)

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Research

16 pages, 2980 KiB  
Article
A Two-Stage Household Electricity Demand Estimation Approach Based on Edge Deep Sparse Coding
by Yaoxian Liu, Yi Sun and Bin Li
Information 2019, 10(7), 224; https://doi.org/10.3390/info10070224 - 01 Jul 2019
Cited by 5 | Viewed by 3133
Abstract
The widespread popularity of smart meters enables the collection of an immense amount of fine-grained data, thereby realizing a two-way information flow between the grid and the customer, along with personalized interaction services, such as precise demand response. These services basically rely on [...] Read more.
The widespread popularity of smart meters enables the collection of an immense amount of fine-grained data, thereby realizing a two-way information flow between the grid and the customer, along with personalized interaction services, such as precise demand response. These services basically rely on the accurate estimation of electricity demand, and the key challenge lies in the high volatility and uncertainty of load profiles and the tremendous communication pressure on the data link or computing center. This study proposed a novel two-stage approach for estimating household electricity demand based on edge deep sparse coding. In the first sparse coding stage, the status of electrical devices was introduced into the deep non-negative k-means-singular value decomposition (K-SVD) sparse algorithm to estimate the behavior of customers. The patterns extracted in the first stage were used to train the long short-term memory (LSTM) network and forecast household electricity demand in the subsequent 30 min. The developed method was implemented on the Python platform and tested on AMPds dataset. The proposed method outperformed the multi-layer perception (MLP) by 51.26%, the autoregressive integrated moving average model (ARIMA) by 36.62%, and LSTM with shallow K-SVD by 16.4% in terms of mean absolute percent error (MAPE). In the field of mean absolute error and root mean squared error, the improvement was 53.95% and 36.73% compared with MLP, 28.47% and 23.36% compared with ARIMA, 11.38% and 18.16% compared with LSTM with shallow K-SVD. The results of the experiments demonstrated that the proposed method can provide considerable and stable improvement in household electricity demand estimation. Full article
(This article belongs to the Special Issue Advances in Information and Communication Technologies (ICT) for Smart Grids)
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13 pages, 4872 KiB  
Article
An Implementation of Parallel Buck Converters for Common Load Sharing in DC Microgrid
by Sikander Ali, Tang Shengxue, Zhang Jianyu, Ahmad Ali and Arshad Nawaz
Information 2019, 10(3), 91; https://doi.org/10.3390/info10030091 - 01 Mar 2019
Cited by 8 | Viewed by 3947
Abstract
The increase in demand for clean, safe, and environmentally friendly renewable energy sources faces several challenges such as system design and reliable operations. DC microgrid (MG) is a promising system due to higher efficiency and natural interface to renewable sources. In the hierarchical [...] Read more.
The increase in demand for clean, safe, and environmentally friendly renewable energy sources faces several challenges such as system design and reliable operations. DC microgrid (MG) is a promising system due to higher efficiency and natural interface to renewable sources. In the hierarchical control of DC Microgrid, the V-I droop control is deployed usually in primary control level for common load sharing between converters. However, conventional droop control causes improper current sharing, voltage variations, and circulating current regulation due to the presence of droop and line resistance between converters. The aim of this paper is to presents the primary control level design of buck converters in current mode control according to the concepts of time constant and time delay, and secondary control design for parallel operations in distributed manners by combining methods, namely, low bandwidth communication (LBC), circulating current minimization techniques, and average voltage/current control. Moreover, different time delays are used for two converters to testify the effects of communication delays on current sharing and voltage restoration. The simulation is done for 2 × 2.5 KWdc parallel buck converters in PLECS (a Simulation software used for high speed simulation for power electronics) environment which shows excellent results in minimizing circulation currents, enhancing proportional current sharing, and restoring the grid voltage. Full article
(This article belongs to the Special Issue Advances in Information and Communication Technologies (ICT) for Smart Grids)
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