Toward High Integration of Renewable Energies into Power Systems

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".

Deadline for manuscript submissions: closed (30 September 2022) | Viewed by 4552

Special Issue Editors


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Guest Editor

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Guest Editor
Laboratoire des Sciences du Numériques de Nantes, centrale nantes University, Nantes, France
Interests: design and modeling of power electronic converters for renewable energy applications; modular multilevel converters

Special Issue Information

Dear Colleagues,

The current energy arena is changing, from fossil fuel-based generation to power electronic converter interfaced renewable generation. This transition imposes new challenges on power system operation and control. Paramount among these are inertia and governor droop requirements as synchronous generator-based power plants are replacing with converter-interfaced generators. Thus, faster dynamics and larger frequency oscillations occur, making power grid more sensitive to frequency events (i.e., any mismatch in the supply−demand balance) and jeopardizes system stability. To mitigate potential stability issues and increase the resilience of low-inertia grids, new ancillary services (e.g., synthetic inertia emulators and energy storage systems) are required.

The main aim of this Special Issue is to seek high-quality submissions that address technical challenges arising from the large-scale penetration of converter-interfaced generation via microgrid and system levels, in addition to highlighting recent breakthroughs in the control of power electronic converters and in energy storage systems. The topics of interest include, but are not limited to:

  • Renewable energy applications (wind, photovoltaic, and fuel cell)
  • Microgrid modeling and stability analysis 
  • Distributed generation technologies
  • Smart grid and technologies
  • Power converters and advanced control systems

Technical Program Committee Members
Saeedian Meysam, Department of Electrical Engineering and Automation (EEA), Aalto University, 02150 Espoo, Finland

Prof. Dr. Edris Pouresmaeil
Dr. Ebrahim Adabi
Guest Editors

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Keywords

  • renewable energy applications (wind, photovoltaic, and fuel cell)
  • microgrid modeling and stability analysis
  • distributed generation technologies
  • smart grid and technologies
  • power converters and advanced control systems;

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Published Papers (1 paper)

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Review

23 pages, 1810 KiB  
Review
Application Strategies of Model Predictive Control for the Design and Operations of Renewable Energy-Based Microgrid: A Survey
by Keifa Vamba Konneh, Oludamilare Bode Adewuyi, Mohammed Elsayed Lotfy, Yanxia Sun and Tomonobu Senjyu
Electronics 2022, 11(4), 554; https://doi.org/10.3390/electronics11040554 - 12 Feb 2022
Cited by 21 | Viewed by 3662
Abstract
In recent times, Microgrids (MG) have emerged as solution approach to establishing resilient power systems. However, the integration of Renewable Energy Resources (RERs) comes with a high degree of uncertainties due to heavy dependency on weather conditions. Hence, improper modeling of these uncertainties [...] Read more.
In recent times, Microgrids (MG) have emerged as solution approach to establishing resilient power systems. However, the integration of Renewable Energy Resources (RERs) comes with a high degree of uncertainties due to heavy dependency on weather conditions. Hence, improper modeling of these uncertainties can have adverse effects on the performance of the microgrid operations. Due to this effect, more advanced algorithms need to be explored to create stability in MGs’. The Model Predictive Control (MPC) technique has gained sound recognition due to its flexibility in executing controls and speed of processors. Thus, in this review paper, the superiority of MPC to several techniques used to model uncertainties is presented for both grid-connected and islanded system. It highlights the features, strengths and incompetencies of several modeling methods for MPCs and some of its variants regarding handling of uncertainties in MGs. This survey article will help researchers and model developers to come up with more robust model predictive control algorithms and techniques to cope with the changing nature of modern energy systems, especially with the increasing level of RERs penetration. Full article
(This article belongs to the Special Issue Toward High Integration of Renewable Energies into Power Systems)
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