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Towards a Seamless Integration of DER in Power Systems: Future Prospects, Challenges and Solutions

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".

Deadline for manuscript submissions: closed (31 March 2020) | Viewed by 7973

Special Issue Editors


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Guest Editor
Institute for Systems and Computing Engineering, Tecnology and Science (INESC TEC), Campus da Faculdade de Engenharia da Universidade do Porto, 4200-465 Porto, Portugal
Interests: multi-energy systems; integration of DER in power systems and electricity markets; energy efficiency; consumer engagement
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Guest Editor
Faculty of Engineering of University of Porto (FEUP)/Institute for Systems and Computer Engineering of Porto (INESC TEC), Porto, Portugal

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Guest Editor
Group Leader - Sustainable Energy Systems, Luxembourg Institute of Science and Technology (LIST), 4362 Esch-sur-Alzette, Luxembourg
Interests: distributed generation; energy efficiency; microgrids; renewable energy sources; smart grids; TSO/DSO coordination; voltage control

Special Issue Information

Dear Colleagues,

The ever-increasing worldwide interest in reducing CO2 emissions is pushing the integration of renewable energy technologies and other environmentally-friendly distributed energy resources (DER) to unprecedented levels. In addition, the strong trend toward the electrification of the energy system, especially in the transportation sector, will demand more from the existing transmission and distribution networks, which will very likely host a higher share of renewable energy sources in the overall energy mix. These changes will require the development of innovative approaches and technology solutions to ensure the security of operation and improve system resilience, which should also take into account the increasing digitalization of the energy sector with more advanced communication technologies and, thus, more data potentially available.

Part of the solution for these challenges will most certainly come from enhancing and strengthening the interaction between TSO and DSO, which will contribute to increasing power systems’ flexibility and better managing generation back-up capacity. Simultaneously, distribution grid connected resources are expected to have a more active role regarding overall system stability, thus demanding new, expedited meddling approaches addressing dynamic behavior in the distribution to the transmission grid boundary.

The growing interaction between different energy systems (multienergy networks) is another challenge that needs to be addressed and that can help to ensure the security of supply while integrating high shares of renewable energy.

With this Special Issue, we are looking for original research that proposes, tests and validates new methodologies for future power systems’ operation and planning, considering the challenges mentioned above, and that addresses, in particular, the following subjects:

  • Transmission/distribution network operation and planning, considering technology adoption rates and the spatiotemporal uncertainty of DER behavior;
  • Joint operation and planning of distribution and transmission networks;
  • Predictive management and control of distribution and transmission networks with high shares of renewable energy;
  • Strategies to improve system resilience in the face of increasing variability from renewable generation and consumption;
  • Methodologies to exploit synergies between different energy networks (electricity, gas, district heating/cooling, transportation);
  • DER participation in future electricity markets under uncertainty;
  • Design of policy incentives to reduce uncertainty and optimize the spatiotemporal impacts of DER in power systems’ operation and planning;
  • Methods to foster consumer participation in flexibility services and to reduce uncertainty;
  • Aggregated modeling of active distribution grids;
  • Autonomous operation of clusters of microgrids.

Dr. Filipe Soares
Prof. Dr. Carlos Moreira
Dr. André Madureira
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. Applied Sciences 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 2400 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

  • distributed energy resources
  • clusters of microgrids
  • flexibility
  • multienergy networks
  • DSO–TSO coordination
  • future electricity markets
  • energy storage
  • electric mobility

Published Papers (3 papers)

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23 pages, 3447 KiB  
Article
Predictive Voltage Control: Empowering Domestic Customers With a Key Role in the Active Management of LV Networks
by Micael Simões and André G. Madureira
Appl. Sci. 2020, 10(7), 2635; https://0-doi-org.brum.beds.ac.uk/10.3390/app10072635 - 10 Apr 2020
Cited by 4 | Viewed by 2411
Abstract
In order to avoid voltage problems derived from the connection of large amounts of renewable-based generation to the electrical distribution system, new advanced tools need to be developed that are able to exploit the presence of Distributed Energy Resources (DER). This paper describes [...] Read more.
In order to avoid voltage problems derived from the connection of large amounts of renewable-based generation to the electrical distribution system, new advanced tools need to be developed that are able to exploit the presence of Distributed Energy Resources (DER). This paper describes the approach proposed for a predictive voltage control algorithm to be used in Low Voltage (LV) distribution networks in order to make use of available flexibilities from domestic consumers via their Home Energy Management System (HEMS) and more traditional resources from the Distribution System Operator (DSO), such as transformers with On-Load Tap Changer (OLTC) and storage devices. The proposed algorithm—the Low Voltage Control (LVC)—is detailed in this paper. The algorithm was tested through simulation using a real Portuguese LV network and real consumption and generation data, in order to evaluate its performance in preparation for a field-trial validation in a Portuguese smart grids pilot. Full article
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26 pages, 6188 KiB  
Article
Smart Transformers as Active Interfaces Enabling the Provision of Power-Frequency Regulation Services from Distributed Resources in Hybrid AC/DC Grids
by Justino Rodrigues, Carlos Moreira and João Peças Lopes
Appl. Sci. 2020, 10(4), 1434; https://0-doi-org.brum.beds.ac.uk/10.3390/app10041434 - 20 Feb 2020
Cited by 9 | Viewed by 3065
Abstract
Smart Transformers (STs) are being envisioned as a key element for the controllability of distribution networks in a future context of Renewable Energy Source (RES), Energy Storage System (ESS) and Electric Vehicle (EV) massification. Additionally, STs enable the deployment of hybrid AC/DC networks, [...] Read more.
Smart Transformers (STs) are being envisioned as a key element for the controllability of distribution networks in a future context of Renewable Energy Source (RES), Energy Storage System (ESS) and Electric Vehicle (EV) massification. Additionally, STs enable the deployment of hybrid AC/DC networks, which offer important advantages in this context. In addition to offering further degrees of controllability, hybrid AC/DC networks are more suited to integrate DC resources such as DC loads, PV generation, ESS and EV chargers. The purpose of the work developed in this paper is to address the feasibility of exploiting STs to actively coordinate a fleet of resources existing in a hybrid AC/DC network supplied by the ST aiming to provide active power-frequency regulation services to the upstream AC grid. The feasibility of the ST to coordinate the resources available in the hybrid distribution AC/DC network in order to provide active power-frequency regulation services is demonstrated in this paper through computational simulation. It is demonstrated that the aforementioned goal can be achieved using droop-based controllers that can modulate controlled variables in the ST. Full article
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17 pages, 3796 KiB  
Article
A Distributed Energy Resources Aggregation Model Based on Multi-Scenario and Multi-Objective Methodology
by Hong Li, Jie Duan, Dengyue Zhang and Jinghui Yang
Appl. Sci. 2019, 9(17), 3586; https://0-doi-org.brum.beds.ac.uk/10.3390/app9173586 - 2 Sep 2019
Cited by 6 | Viewed by 2038
Abstract
Aggregation technology can integrate distributed energy resources (DERs) into resource aggregation (RA) to achieve efficient utilization of resources. This paper studies a DERs aggregation model to construct a RA. Firstly, considering the uncertainty of the output of distributed generation (DG), the characteristics of [...] Read more.
Aggregation technology can integrate distributed energy resources (DERs) into resource aggregation (RA) to achieve efficient utilization of resources. This paper studies a DERs aggregation model to construct a RA. Firstly, considering the uncertainty of the output of distributed generation (DG), the characteristics of DG are analyzed and the daily eigenvalues are extracted. The contour coefficient is introduced and the improved K-means algorithm is used to cluster the daily eigenvectors to get the multiple probability scenarios in a single season. Then, in order to obtain a RA with lower daily average cost, better power generation characteristics and higher regional aggregation degree, the DERs aggregation model based on multi-scenario and multi-objective is established considering multiple constraints. To obtain a compromise optimal solution, the cellular bat algorithm based on fuzzy membership degree (FMD-CBA) is used to solve the model. Finally, the validity of the multi-scenario and multi-objective model in a single season is verified by an example. Full article
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