Special Issue "Optimal Control of Smart Distributed Power and Energy Systems"

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "Electrical Power and Energy System".

Deadline for manuscript submissions: 1 August 2020.

Special Issue Editors

Prof. Dr. Roberto Sacile
Website
Guest Editor
Department of Informatics Bioengineering, Robotics and Systems Engineering, University of Genova, Via All'Opera Pia, 13 - 16145 Genova, Italy
Interests: renewable energy; energy and environment; systems engineering applied to transport
Dr. Giulio Ferro
Website
Guest Editor
Department of Informatics, Bioengineering, Roborotics, and Systems Engineering, University of Genova, Italy
Interests: multiagent systems; distributed optimization and control; power grid modeling; energy markets
Prof. Dr. Michela Robba
Website
Guest Editor
Department of Informatics, Bioengineering, Roborotics, and Systems Engineering, University of Genova, Italy
Interests: automatic control; optimal control; optimization; energy systems; smart grids
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Special Issue Information

Dear colleagues,

The increment of renewable resources usage, distributed generation and storage, demand response programs, and electric vehicle charging stations has led to a need to change the structure of the electrical grid into one that is more flexible. Due to uncertainties associated with the availability of renewable sources, distributed green power production systems can create some problems in the distribution grid, such as power quality losses in the power network, voltage unbalances, and undesired peaks. Typically, traditional controllable generators are used to compensate these fluctuations, causing efficiency losses (increasing operational and maintenance costs) and a decrease in the regulation margins for the distribution grid.

Hence, new methodological and technological approaches are increasingly required to optimally manage renewable resources and to integrate them into the new energy systems. These energy systems are equipped by smart instrumentation that can led to a cooperative and distributed way of controlling the whole system, and by a transition from a centralized structure to a decentralized one (both in terms of sources and controls).

The main aim of the Special Issue is to collect papers in the field of modeling, control, and optimization of power distribution grids (both in standalone and grid-connected operation), with specific attention to methods and real infrastructure applications.

Specific topics of interest for the Special Issue include, amongst others:

  • New models for distribution power grids;
  • Optimal control and planning of distribution grids (both in grid-connected and islanded mode);
  • Optimal control and planning of hybrid systems (wind, hydrogen, fuel cells, hydroelectric plants, etc.);
  • Hierarchical control;
  • Cooperative and non-cooperative control;
  • Optimal integration and planning of renewables in distribution grids;
  • Stochastic optimization;
  • Model predictive control;
  • Distributed optimization;
  • Optimal control of aggregators of demand response;
  • New power market structures for distribution grids;
  • Modeling and control of flexible loads;
  • Applications in different demand contexts (e.g., industrial, agriculture, smart cities).

Prof. Roberto Sacile
Dr. Giulio Ferro
Prof. Michela Robba
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. Energies 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

  • optimal control
  • distributed optimization
  • renewable resources
  • storage systems
  • power converters
  • distribution grids
  • cooperative control

Published Papers (1 paper)

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Research

Open AccessArticle
A Model Predictive Control Strategy for Distribution Grids: Voltage and Frequency Regulation for Islanded Mode Operation
Energies 2020, 13(10), 2637; https://doi.org/10.3390/en13102637 - 21 May 2020
Abstract
In the last few years, one of the most important challenges of power technologies has been the integration of traditional energy production systems and distributed energy resources. Large-scale photovoltaic systems and wind farms may decrease the quality of the electrical grid service, mainly [...] Read more.
In the last few years, one of the most important challenges of power technologies has been the integration of traditional energy production systems and distributed energy resources. Large-scale photovoltaic systems and wind farms may decrease the quality of the electrical grid service, mainly due to voltage and frequency peaks and fluctuations. Besides, new functionalities, such as the operation in islanded mode of some portions of the medium-voltage grid, are more and more required. In this respect, a model predictive control for voltage and frequency regulation in interconnected local distribution systems is presented. In the proposed model, each local system represents a collection of intelligent buildings and microgrids with a large capacity in active and reactive power regulation. The related model formalization includes a linear approximation of the power flow equations, based on stochastic variables related to the electrical load and to the production from renewable sources. A model predictive control problem is formalized, and a closed-loop linear control law has been obtained. In the results section, the proposed approach has been tested on the Institute of Electrical and Electronics Engineers(IEEE) 5 bus system, considering multiple loads and renewable sources variations on each local system. Full article
(This article belongs to the Special Issue Optimal Control of Smart Distributed Power and Energy Systems)
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