Smart Grids: Sensing and Monitoring

A special issue of Journal of Sensor and Actuator Networks (ISSN 2224-2708). This special issue belongs to the section "Network Services and Applications".

Deadline for manuscript submissions: closed (15 January 2023) | Viewed by 6321

Special Issue Editors


E-Mail Website
Guest Editor
Department of Electrical Engineering, Federal University of Technology - Paraná (UTFPR), Pato Branco, PR, Brazil
Interests: wireless communications and networking; signal processing; sensor networks; embedded systems; real-time operating systems; instrumentation

E-Mail Website
Guest Editor
Department of Electronics and Computing, Federal University of Santa Maria, Santa Maria, RS, Brazil
Interests: wireless communications; networking; signal processing; embed-ded systems

Special Issue Information

Dear Colleagues,

The operation of smart grids relies on interconnected devices that provide real-time monitoring and control. Examples of these devices are sensors to monitor the power grid transformers, actuators, such as smart circuit breakers, power meters and phasor measurement units. Recently, the technical challenges of the smart grids have increased, with the high penetration of renewable energy sources and energy storage systems into the power grid. To meet the requirements of a reliable and resilient smart grid in such a scenario, new sensors, processing algorithms, management techniques and reliable and secure communication systems are needed. Improvements are also required in the areas of data storage and management, energy management systems (EMSs), outage management systems (OMSs), advanced distribution management systems (ADMSs), distributed energy resources management systems (DERMSs), system scalability and reconfiguration.

Therefore, this Special Issue aims to invite the latest developments and new perspectives on devices and systems that support smart grids, ranging from smart sensors and embedded systems that comprise the lower layer of the power grid to data processing, secure communication and cloud techniques in the upper layer, in order to achieve a better understanding, optimization, and performance of all energy management processes.

The topics of interest for this Special Issue include but are not limited to:

  • Sensors and actuators in smart grids;
  • Smart metering;
  • Wireless and wired communications systems for smart grids;
  • Medium access control and routing protocols for smart grid networks;
  • Internet of things (IoT) applied to smart grids;
  • Cybersecurity and privacy protection in smart grid networks;
  • Data science for energy management systems;
  • Artificial intelligence applied to energy management systems;
  • Cloud techniques and cloud-based applications for smart grids;
  • Embedded software and signal processing techniques applied to smart grids;
  • Battery monitoring systems;
  • Management of charging stations for electric vehicles.

Prof. Dr. Gustavo Weber Denardin
Prof. Dr. Carlos Henrique Barriquello
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. Journal of Sensor and Actuator Networks 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 2000 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

  • smart grids
  • energy management systems
  • distributed energy resources management systems
  • sensor and actuator networks
  • sensors for smart grids
  • communication protocols
  • internet of things
  • cyberse-curity

Published Papers (3 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

12 pages, 331 KiB  
Article
Optimization of Switch Allocation Problems in Power Distribution Networks
by Ricardo R. Lângaro, Marcelo Teixeira, Richardson Ribeiro, Jefferson T. Oliva and Marco A. C. Barbosa
J. Sens. Actuator Netw. 2022, 11(4), 77; https://doi.org/10.3390/jsan11040077 - 22 Nov 2022
Cited by 2 | Viewed by 1484
Abstract
This paper presents the implementation of the mono-objective Switch Allocation Problem (SAP) optimization model for electric power distribution networks, considering the equivalent interruption duration per consumer unit EIDCU and non-distributed energy END reliability indexes. We use the current summation algorithm to solve the [...] Read more.
This paper presents the implementation of the mono-objective Switch Allocation Problem (SAP) optimization model for electric power distribution networks, considering the equivalent interruption duration per consumer unit EIDCU and non-distributed energy END reliability indexes. We use the current summation algorithm to solve the power flow, and we employ an intelligent bee colony algorithm to solve the model. Two network topologies, one with 43 and another with 136 bars, adapted from the literature, are used to illustrate the solution. Results show a significant reduction in the financial cost of planning a power distribution network. Full article
(This article belongs to the Special Issue Smart Grids: Sensing and Monitoring)
Show Figures

Figure 1

21 pages, 2829 KiB  
Article
A Knowledge-Based Battery Controller for IoT Devices
by Joaquin Canada-Bago and Jose-Angel Fernandez-Prieto
J. Sens. Actuator Netw. 2022, 11(4), 76; https://doi.org/10.3390/jsan11040076 - 21 Nov 2022
Cited by 3 | Viewed by 1834
Abstract
Internet of things (IoT) devices are often located in difficult-to-access places without connection to the electrical grid. For this reason, some IoT devices usually incorporate a small stand-alone photovoltaic (PV) system to power only the IoT device. However, several IoT applications involve using [...] Read more.
Internet of things (IoT) devices are often located in difficult-to-access places without connection to the electrical grid. For this reason, some IoT devices usually incorporate a small stand-alone photovoltaic (PV) system to power only the IoT device. However, several IoT applications involve using other components, such as instrumentation, electrical motors, lighting bulbs, etc., which require additional electrical power. The objective of this study was to design and implement a battery controller integrated into a constrained resource device that allows powering not only other components of the IoT application but also the IoT device. In this way, the IoT device controls and monitors the PV system and executes other IoT applications such as lighting. Results show that the designed controller exhibits efficient behavior when compared with other regulators and can be integrated into resource-constrained devices, improving the life of batteries and reducing cost. Full article
(This article belongs to the Special Issue Smart Grids: Sensing and Monitoring)
Show Figures

Figure 1

17 pages, 2408 KiB  
Article
Supervisory Layer for Improved Interactivity of Distributed Generation Inverters with Smart Grids
by Emerson Giovani Carati, Victor Emanuel Soares Barbosa, Rafael Cardoso, Carlos Marcelo de Oliveira Stein and Jean Patric da Costa
J. Sens. Actuator Netw. 2021, 10(4), 64; https://doi.org/10.3390/jsan10040064 - 10 Nov 2021
Viewed by 2204
Abstract
This work proposes an autonomous management system for distributed generation (DG) systems connected to the AC grid, using supervisory control theory (SCT). SCT is used to deal with discrete asynchronous events that modify the properties and operational conditions of these systems. The proposed [...] Read more.
This work proposes an autonomous management system for distributed generation (DG) systems connected to the AC grid, using supervisory control theory (SCT). SCT is used to deal with discrete asynchronous events that modify the properties and operational conditions of these systems. The proposed management layer allows the smart inverters to interact with smart grid managers (SGMs), while guaranteeing operation compliance with the IEEE Standards. The implemented supervisor for the management layer is an automaton that performs the smart inverter manager (SIM) functions in the photovoltaic systems in discrete events. A DSP real-time verification was performed with Typhoon HIL 602+ to demonstrate the smart inverter’s operating dynamics connected to the grid. The results showed the fast response and robust operation of the smart inverter manager to the commands from the smart grid manager. Full article
(This article belongs to the Special Issue Smart Grids: Sensing and Monitoring)
Show Figures

Figure 1

Back to TopTop