E-Mail Alert

Add your e-mail address to receive forthcoming issues of this journal:

Journal Browser

Journal Browser

Special Issue "The Digital Revolution in Future Power Distribution and Microgrids"

A special issue of Energies (ISSN 1996-1073).

Deadline for manuscript submissions: 30 November 2018

Special Issue Editors

Guest Editor
Prof. Dr. Eleonora Riva Sanseverino

Department of Energy, Information engineering and Mathematical models, DEIM, University of Palermo, Edificio 9, Viale delle Scienze, 90128 Palermo PA, Italy
Website | E-Mail
Interests: microgrids; distributed energy resources management; multi-objective evolutionary optimization
Guest Editor
Prof. Dr. Juan C. Vasquez
Highly Cited - Clarivate Analytics (formerly Thomson Reuters)

Department of Energy Technology, Aalborg University, Pontoppidanstræde 111, Aalborg Ø 9220, Denmark
Website | E-Mail
Interests: microgrids; renewable energy; Minigrids; distributed generation; islanded energy systems; distributed and hierarchical control; IoT-based smart energy homes
Guest Editor
Prof. Dr. Maria Luisa Di Silvestre

Department of Energy, Information engineering and Mathematical models, DEIM, University of Palermo, Edificio 9, Viale delle Scienze, 90128 Palermo PA, Italy
Website | E-Mail
Interests: faults detection and location in electrical distribution networks; strategies for restoring service in electrical distribution networks; real-time optimal management and planning; grounding interconnected systems

Special Issue Information

Dear Colleagues,

We are inviting submissions to a Special Issue of Energies on the subject area of “The Digital Revolution in Future Power Distribution and Microgrids”. The deployment of wide-band infrastructure and 5G technology in cities calls for a deeper restructuring of the application layer for most of the services offered to citizens. The electrical infrastructure, in particular, is affected by deep changes. The future of electrical systems is difficult to predict, pushed by the digital revolution and the decarbonization driver, most likely it will depend on the policy framework in each area of the world. On the other hand, the decentralization of services points at the deployment of electrical infrastructure as a collection of microgrids, to be eventually operated autonomously from the main grid. This Special Issue on “The Digital Revolution in Future Power Distribution and Microgrids” is focused on state-of-the-art innovations in theoretical foundations, advanced IoT-based infrastructure, systems and control architecture, and field tests for digital technologies in smart electrical networks. Topics include, but are not limited to (surveys and state-of-the-art tutorials are also welcome):

  • Smart urban functions for Intelligent communities;
  • Energy Internet infrastructures (optical fiber, data and power, 5G);
  • Optimized management in microgrids and energy hubs;
  • IoT services, applications, standards, and test-beds;
  • IoT-driven solutions for the next generation of the smart-grid;
  • Smart Homes, and IoT-based Building Automation;
  • Decentralization and digitalization in smart cities;
  • Data analytics for smart energy systems.

Prof. Dr. Eleonora Riva Sanseverino
Prof. Dr. Juan Carlos Vasquez Quintero
Prof. Dr. Maria Luisa Di Silvestre
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 monthly 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 1600 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

  • microgrids
  • intelligent systems for microgrids
  • optimization and advanced heuristics
  • decentralized optimization and control

Published Papers (3 papers)

View options order results:
result details:
Displaying articles 1-3
Export citation of selected articles as:

Research

Jump to: Review

Open AccessArticle Active-Current Control of Large-Scale Wind Turbines for Power System Transient Stability Improvement Based on Perturbation Estimation Approach
Energies 2018, 11(8), 1995; https://doi.org/10.3390/en11081995
Received: 1 July 2018 / Revised: 18 July 2018 / Accepted: 30 July 2018 / Published: 1 August 2018
Cited by 1 | PDF Full-text (3092 KB) | HTML Full-text | XML Full-text
Abstract
This paper proposes an active-current control strategy for large-scale wind turbines (WTs) to improve the transient stability of power systems based on a perturbation estimation (PE) approach. The main idea of this control strategy is to mitigate the generator imbalance of mechanical and
[...] Read more.
This paper proposes an active-current control strategy for large-scale wind turbines (WTs) to improve the transient stability of power systems based on a perturbation estimation (PE) approach. The main idea of this control strategy is to mitigate the generator imbalance of mechanical and electrical powers by controlling the active-current of WTs. The effective mutual couplings of synchronous generators and WTs are identified using a Kron-reduction technique first. Then, the control object of each WT is assigned based on the identified mutual couplings. Finally, an individual controller is developed for each WT using a PE approach. In the control algorithm, a perturbation state (PS) is introduced for each WT to represent the comprehensive effect of the nonlinearities and parameter variations of the power system, and then it is estimated by a designed perturbation observer. The estimated PS is employed to compensate the actual perturbation, and to finally achieve the adaptive control design without requiring an accurate system model. The effectiveness of the proposed control approach on improving the system transient stability is validated in the modified IEEE 39-bus system. Full article
(This article belongs to the Special Issue The Digital Revolution in Future Power Distribution and Microgrids)
Figures

Figure 1

Open AccessArticle Optimal Dynamic Reactive Power Reserve for Wind Farms Addressing Short-Term Voltage Issues Caused by Wind Turbines Tripping
Energies 2018, 11(7), 1709; https://doi.org/10.3390/en11071709
Received: 10 May 2018 / Revised: 12 June 2018 / Accepted: 20 June 2018 / Published: 1 July 2018
PDF Full-text (2869 KB) | HTML Full-text | XML Full-text
Abstract
In regional power grids with high wind power penetration, wind turbine tripping poses great challenges to short-term voltage stability. Dynamic reactive power (VAR) compensation (DVC) plays an important role in securing wind farm operation. To address short-term voltage stability issues, voltage disturbance index
[...] Read more.
In regional power grids with high wind power penetration, wind turbine tripping poses great challenges to short-term voltage stability. Dynamic reactive power (VAR) compensation (DVC) plays an important role in securing wind farm operation. To address short-term voltage stability issues, voltage disturbance index (DI) and voltage supporting index (SI) are defined to evaluate the degree of voltage fluctuation and voltage supporting ability of a bus, respectively. Then corresponding vector-type features, called disturbance vector (DV) and supporting vector (SV) are proposed based on the defined indexes. The Kendall rank correlation coefficient is adopted to evaluate the matching degree of DV and SV, so as to determine the influenced area of each wind farm. Candidate locations for DVC are determined sequentially. By comprehensively considering the probability of combined disturbance in each wind farm, a site selection method is proposed and then genetic algorithm is applied to optimize the DVC capacity considering short-term voltage security. The proposed method is applied on a modified NE 39-bus system and a real power grid. Comparison with the engineering practice-based method validates its effectiveness. Full article
(This article belongs to the Special Issue The Digital Revolution in Future Power Distribution and Microgrids)
Figures

Figure 1

Review

Jump to: Research

Open AccessReview Internet of Things for Modern Energy Systems: State-of-the-Art, Challenges, and Open Issues
Energies 2018, 11(5), 1252; https://doi.org/10.3390/en11051252
Received: 3 April 2018 / Revised: 8 May 2018 / Accepted: 9 May 2018 / Published: 14 May 2018
PDF Full-text (839 KB) | HTML Full-text | XML Full-text
Abstract
The Internet of Things (IoT) is beginning to shape the future of many industries and emerging markets. One of the target markets for IoT is the energy systems. IoT is a matter of producing, transferring, and processing information, therefore all parts of the
[...] Read more.
The Internet of Things (IoT) is beginning to shape the future of many industries and emerging markets. One of the target markets for IoT is the energy systems. IoT is a matter of producing, transferring, and processing information, therefore all parts of the system including software and hardware parts should be considered as a whole. In this paper, a state-of-the-art of the IoT-based energy systems is presented to review the recent activities on every component of IoT in energy systems. Challenges in this subject area are discussed, and some solutions are presented thereafter. Full article
(This article belongs to the Special Issue The Digital Revolution in Future Power Distribution and Microgrids)
Figures

Figure 1

Back to Top