Special Issue "Decentralized Management of Flexible Energy Resources in Smart Grid"

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: 31 December 2020.

Special Issue Editors

Assoc. Prof. Tudor Cioara
E-Mail Website
Guest Editor
Senior researcher at Distributed Systems Research Laboratory, Computer Science Department, Technical University of Cluj-Napoca, 400027, 26-28 Baritiu street, Cluj-Napoca, Romania
Interests: blockchain, smart energy grid, complex distributed systems, multidisciplinary optimization, simulation and modelling
Dr. Massimo Bertoncini
E-Mail Website
Guest Editor
Director of European R&D Project Innovation Strategic Advisor for Smart Energy Systems, Engineering-Ingegneria Informatica SPA, Via San Martino Della Battaglia 56, Roma 00185, Italy
Interests: smart energy systems optimization, blockchain, energy efficiency, demand response
Assoc. Prof. Ionut Anghel
E-Mail Website
Guest Editor
Senior researcher at Distributed Systems Research Laboratory, Computer Science Department, Technical University of Cluj-Napoca, 400027, 26-28 Baritiu street, Cluj-Napoca, Romania
Interests: green IT, complex systems modelling, adaptive systems, ambient assisted living
Dr. Diego Arnone
E-Mail Website
Guest Editor
Head of Smart Energy Projects Research Area, Engineering-Ingegneria Informatica SPA, Viale Regione Siciliana Nord-Ovest 7275 - 90146 Palermo, Itay
Interests: data center management; energy efficiency optimization; energy projects management

Special Issue Information

Dear Colleagues,

Due to the rapid growth in the deployment of distributed energy resources, the need for decentralized Information and Communication Technology management solutions exploiting smart grid flexibility is widely recognized. Variations in energy production of such resources, either surplus or deficit, may threaten the security of supply due to the lack of energy storage capabilities, leading to energy distribution system overload and culminating with power outage or service disruptions. Demand response (DR) programs offer several benefits to the energy systems, including increasing efficiency of asset utilization, supporting greater penetration of renewables, easing capacity issues on distribution networks, reducing the costs of calling on traditional reserve, and finally reducing emissions. Energy flexibility is a key element in the development of the future optimized smart grid management solutions, incorporating a wide range of both centralized and distributed renewable and conventional power sources. Energy players such as data centers (DCs) are characterized by large, flexible energy load profiles which may enact as a potential solution for cost reduction for their voluntary participation in DR programs or offering ancillary services for the distribution system operator. Unfortunately, they are usually operated in an uncoordinated manner and lack novel technologies to allow them to elucidate their flexibility. This is also relevant in the context of next-generation virtual power plants (VPPs), energy aggregators, and decentralized microgrids.

This Special Issue aims to explore new and innovative solutions in this emerging context, contributions being expected that address, but are not restricted to, the following topics:

  • Smart grid flexibility management;
  • Blockchain for decentralized management of DR programs;
  • Flexibility assessment and forecasting;
  • DC energy management for optimal smart grid integration;
  • DCs as aggregators of themselves;
  • VPP construction and management;
  • Blockchain-enabled infrastructures for decentralized energy grid control;
  • Energy assets decentralized coordination;
  • Energy markets operation and coordinated clearance mechanisms

Assoc. Prof. Tudor Cioara
Dr. Massimo Bertoncini
Assoc. Prof. Ionut Anghel
Dr. Diego Arnone
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 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. Sustainability 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 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.

Keywords

  • Smart energy grids
  • Data centers
  • Decentralized coordination
  • Blockchain
  • Virtual power plant
  • Energy market operation
  • Flexibility management

Published Papers (1 paper)

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Research

Open AccessArticle
Energy Flexibility Prediction for Data Center Engagement in Demand Response Programs
Sustainability 2020, 12(4), 1417; https://doi.org/10.3390/su12041417 - 14 Feb 2020
Abstract
In this paper, we address the problem of the efficient and sustainable operation of data centers (DCs) from the perspective of their optimal integration with the local energy grid through active participation in demand response (DR) programs. For DCs’ successful participation in such [...] Read more.
In this paper, we address the problem of the efficient and sustainable operation of data centers (DCs) from the perspective of their optimal integration with the local energy grid through active participation in demand response (DR) programs. For DCs’ successful participation in such programs and for minimizing the risks for their core business processes, their energy demand and potential flexibility must be accurately forecasted in advance. Therefore, in this paper, we propose an energy prediction model that uses a genetic heuristic to determine the optimal ensemble of a set of neural network prediction models to minimize the prediction error and the uncertainty concerning DR participation. The model considers short term time horizons (i.e., day-ahead and 4-h-ahead refinements) and different aspects such as the energy demand and potential energy flexibility (the latter being defined in relation with the baseline energy consumption). The obtained results, considering the hardware characteristics as well as the historical energy consumption data of a medium scale DC, show that the genetic-based heuristic improves the energy demand prediction accuracy while the intra-day prediction refinements further reduce the day-ahead prediction error. In relation to flexibility, the prediction of both above and below baseline energy flexibility curves provides good results for the mean absolute percentage error (MAPE), which is just above 6%, allowing for safe DC participation in DR programs. Full article
(This article belongs to the Special Issue Decentralized Management of Flexible Energy Resources in Smart Grid)
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