Special Issue "Nanogrids, Microgrids, and the Internet of Things (IoT): towards the Digital Energy Network"
Deadline for manuscript submissions: 22 January 2019
Driven by new regulations, new market structures, and new energy resources, the smart grid has been the trigger for profound changes in the way that electricity is generated, distributed, managed, and consumed. The smart grid has raised the traditional power grid by using a two-way electricity and information flow to create an advanced, automated power supply network. However, these pioneering smart grid technologies must grow to adapt to the demands of the current digital society.
In today’s digital landscape, we can access feasible data and knowledge that was merely inconceivable. This Special Issue aims to address the landscape in which smart grids are progressing, due to the advent of pervasive technologies like the Internet of Things (IoT). It will be the advanced exploitation of the massive amounts of data generated from (low-cost) IoT sensors that will become the main driver to evolve the concept of the smart grid, currently focused on infrastructure, towards the digital energy network paradigm, focused on service. Furthermore, collective intelligence will improve the processes of decision making and empower citizens.
Original manuscripts focusing on state-of-the-art IoT networking and communications, M2M communications, cyber–physical system architectures, big data analytics or cloud computing applied to digital energy platforms, including design methodologies and practical implementation aspects are welcome. The issue will include , but is not limited to:
- Nanogrids, Microgrids.
- Smart Energy communities, Smart buildings, Smart Appliances
- EMS, DSM/DR, HEM
- Power Quality and Reliability AMI (advanced metering infrastructures)
- Custom Power and Critical Loads Supply
- EV Charging Infrastructure
Prof. Dr. Antonio Moreno-Munoz
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 papers will be 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 bimonthly 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 1800 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.
- Smart Grids
- Internet of Things
- Big Data
- Power Quality
- Cloud computing
- Digital Utilities
- Digital Energy Network
- Power Quality and Reliability
- Custom Power
- Critical Loads Supply
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: An Alternative Internet of Thing Solution based on LoRaWAN for PV Power Plants: Extensive Monitoring and Management
Authors: José Miguel Paredes-Parra 1,†,, Antonio Javier García-Sánchez 2,†, Antonio Mateo-Aroca 3,† and Ángel Molina-García 4,†,‡*
1 Centro Tecnológico de la Energía y del Medio Ambiente, 30353 Cartagena, Spain
2 Dept. of Information Technologies and Communications, Universidad Politécnica de Cartagena, 30202 Cartagena, Spain
3 Dept. of Electronic Technology, Universidad Politécnica de Cartagena, 30202 Cartagena, Spain
4 Dept. of Electrical Engineering, Universidad Politécnica de Cartagena, 30202 Cartagena, Spain
* Correspondence: [email protected]; Tel.: +34-968-32-5462
Abstract: During the last years, the integration of renewables into power systems has been mainly promoted by an important cost reduction of renewable technologies as well as relevant policies to mitigate both energy dependence and emissions. In fact, the percentage of renewable generation currently accounts for over 20% of the power demand in some developed countries, though the weather dependence of these resources and their noticeable variations along the day may lead to undesirable supply-side oscillations and/or unexpected power change. Among the different renewables, both wind and PV power plants are considered as the most mature technologies to be highly integrated into the grid. Specifically, PV installations have been widely extended at different voltage levels, including residential sector. For this solar resource, extensive monitoring solutions are more and more required by operators and customers; demanding not only global parameters at the inverter level, but also individual PV module production to determine in an accurate way PV module efficiencies and detecting abnormal performances that can’t be specifically identify at a more aggregated level. However, and according to the specific literature, there is a lack of low cost and practical proposals to monitor PV installations at PV module level, despite the development of the smart grid concept during the last decade. Actually, most contributions provide extensive data at the inverter level, but they usually estimate PV module performances through averaged and expected values. To overcome this drawback and offer an extensive monitoring system, this paper describes an alternative solution based on low cost open-source technology at the sensor layer and a low power wireless area network (LPWAN) at the communication layer. This solution combines the advantages of low costs, long-range coverage and low power demand. The paper includes detailed description of the proposed system at PV module level integration, as well as full information regarding LPWAN application to the PV power plant monitoring problem. In order to assess the suitability of the proposed solution, results collected in a real PV installation connected to the grid are also included in the paper and widely discussed.
Keywords: PV monitoring; low-cost solutions; LoRaWAN