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Design for Distributed Energy Resources: Wind Energy, PV and EV Station

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A: Sustainable Energy".

Deadline for manuscript submissions: 2 December 2024 | Viewed by 602

Special Issue Editors


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Guest Editor
Electric Power System Research Team, Korea Institute of Energy Research (KIER), 200 Haemajihaean-ro, Gujwae-up, Jeju 63357, Republic of Korea
Interests: distribution networks; wind turbine; PV and EV station; ETC; electric vehicle charging

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Guest Editor
Kumoh Nationa Institute of Technology 61 Daehak-ro (Yangho-dong), Gumi, Gyeongbuk 39177, Republic of Korea
Interests: DC/DC converter; PV systems; fault diagnosis; electro-magnetic interference; talkative converter

Special Issue Information

Dear Colleagues,

In order to reduce global warming and carbon dioxide emissions, the number of electric vehicles is increasing along with the spread of new renewable energy sources around the world. Accordingly, various charging facilities are being expanded in the existing power system to handle the charging load of electric vehicles. However, due to capacity limitations in the existing power system, it is difficult to install fast electric vehicle chargers. To solve this, renewable energy and energy storage systems are integrated using micro-grids. Meanwhile, research has recently been conducted to utilize electric vehicle charging stations as a VPP resource by using the discharge function of electric vehicles and renewable energy. As the paradigm changes from the existing centralized power structure to a distributed one, various services for electric vehicle charging stations that combine renewable energy and various energy sources are expected.

This Special Issue aims to present and disseminate the latest developments related to the theory, design, modeling, application, control, and condition monitoring of distributed energy resources and electric vehicle charging stations.

Topics of interest for publication include, but are not limited to, the following:

  • All aspects of electric vehicle charging stations;
  • Micro-grids;
  • Renewable energy;
  • Battery energy storage systems;
  • Electric vehicles;
  • Power conversion systems;
  • Control systems;
  • Advanced modeling approaches;
  • Virtual Power Plants;
  • Electric vehicles;
  • Distribution networks.

Dr. Dae-Jin Kim
Prof. Dr. Hwa-Pyeong Park
Guest Editors

Manuscript Submission Information

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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 2600 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

  • electric vehicle charging station
  • renewable energy
  • energy storage system
  • electric vehicle
  • virtual power plant

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Published Papers (1 paper)

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Research

16 pages, 5166 KiB  
Article
Optimal Bidding Scheduling of Virtual Power Plants Using a Dual-MILP (Mixed-Integer Linear Programming) Approach under a Real-Time Energy Market
by Seung-Jin Yoon, Kyung-Sang Ryu, Chansoo Kim, Yang-Hyun Nam, Dae-Jin Kim and Byungki Kim
Energies 2024, 17(15), 3773; https://doi.org/10.3390/en17153773 - 31 Jul 2024
Viewed by 421
Abstract
In recent years, the energy industry has increased the proportion of renewable energy sources, which are sustainable and carbon-free. However, the increase in renewable energy sources has led to grid instability due to factors such as the intermittent power generation of renewable sources, [...] Read more.
In recent years, the energy industry has increased the proportion of renewable energy sources, which are sustainable and carbon-free. However, the increase in renewable energy sources has led to grid instability due to factors such as the intermittent power generation of renewable sources, forecasting inaccuracies, and the lack of metering for small-scale power sources. Various studies have been carried out to address these issues. Among these, research on Virtual Power Plants (VPP) has focused on integrating unmanaged renewable energy sources into a unified system to improve their visibility. This research is now being applied in the energy trading market. However, the purpose of VPP aggregators has been to maximize profits. As a result, they have not considered the impact on distribution networks and have bid all available distributed resources into the energy market. While this approach has increased the visibility of renewables, an additional method is needed to deal with the grid instability caused by the increase in renewables. Consequently, grid operators have tried to address these issues by diversifying the energy market. As regulatory method, they have introduced real-time energy markets, imbalance penalty fees, and limitations on the output of distributed energy resources (DERs), in addition to the existing day-ahead market. In response, this paper proposes an optimal scheduling method for VPP aggregators that adapts to the diversifying energy market and enhances the operational benefits of VPPs by using two Mixed-Integer Linear Programming (MILP) models. The validity of the proposed model and algorithm is verified through a case study analysis. Full article
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