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Energies
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Planning and Operation of Integrated Renewable Energy Distribution System
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Planning and Operation of Integrated Renewable Energy Distribution System

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A1: Smart Grids and Microgrids".

Deadline for manuscript submissions: 31 August 2024 | Viewed by 1783

Special Issue Editors

Dr. Fengzhang Luo

E-Mail Website
Guest Editor
Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China
Interests: distribution system analysis; evaluation and optimization planning; low-carbon distribution system and intelligent distribution system; integrated energy distribution system planning and operation
Dr. Guoqiang Zu

E-Mail Website
Guest Editor
State Grid Tianjin Electric Power Research Institute, Tianjin, China
Interests: distribution system planning, analysis and operation; AC-DC hybrid distribution system; vehicle to grid (V2G)
Dr. Tianyu Zhang

E-Mail Website
Guest Editor
State Grid Tianjin Economic and Technology Research Institute, Tianjin, China
Interests: distribution system planning; analysis and operation; AC-DC hybrid distribution system; electric vehicles to grid

Special Issue Information

Dear Colleagues,

The increasing penetration of intermittent and stochastic renewable energy brings great challenges for distribution networks. This Special Issue aims to present the most recent advances related to the current research and future development in integrated renewable energy distribution system: planning and operation.

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

  • Form and development trend of future distribution system;
  • Integrated renewable energy distribution system planning;
  • Integrated renewable energy distribution system operation;
  • Reliability and resilience assessment;
  • Optimization;
  • Digital twins;
  • EV orderly charging and V2G;
  • Load-demand response;
  • Renewable energy consumption;
  • DC distribution system technology;
  • Power electronics applications

Dr. Fengzhang Luo
Dr. Guoqiang Zu
Dr. Tianyu Zhang
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. 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

  • integrated renewable energy distribution system planning
  • reliability and resilience assessment
  • integrated renewable energy distribution system operation
  • optimization
  • digital twins
  • EV orderly charging and V2G
  • load demand response
  • virtual power plant
  • renewable energy consumption
  • DC distribution system technology
  • power electronics applications

Published Papers (2 papers)

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Research

19 pages, 1918 KiB  
Article
Power Supply Reliability Analysis of Distribution Systems Considering Data Transmission Quality of Distribution Automation Terminals
by Fengzhang Luo, Nan Ge and Jing Xu
Energies 2023, 16(23), 7826; https://doi.org/10.3390/en16237826 - 28 Nov 2023
Cited by 2 | Viewed by 624
Abstract
A distribution automation system is the integration of physical power distribution systems and information systems. Its information system guarantees the safe operation and reliable power supply of physical systems by monitoring, collecting and transmitting information. In the information system, the remote terminal unit [...] Read more.
A distribution automation system is the integration of physical power distribution systems and information systems. Its information system guarantees the safe operation and reliable power supply of physical systems by monitoring, collecting and transmitting information. In the information system, the remote terminal unit of distribution automation is the hub of the information system, connecting it to the physical power system. Considering the unreliability of terminal information transmission in the information system, this paper aims to build a model to quantitatively evaluate the impact of unreliable transmission information on the power supply reliability of distribution systems. Firstly, the m-segment and n-connection unit model of distribution feeders is established, and then, the power supply reliability indices in the process of handling feeder terminal unit error are analyzed and calculated under the configuration modes of “three-remote” and “two-remote” of remote terminals. Then, considering the impact of a transmission error in the information system, the reliability index calibration model under the condition of unreliable information transmission is established. Finally, a case study is presented to illustrate how the proposed model is implemented. Full article
(This article belongs to the Special Issue Planning and Operation of Integrated Renewable Energy Distribution System)
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23 pages, 3157 KiB  
Article
Implementation of Deep Learning-Based Bi-Directional DC-DC Converter for V2V and V2G Applications—An Experimental Investigation
by Mohan Krishna Banda, Sreedhar Madichetty and Shanthi Kumar Nandavaram Banda
Energies 2023, 16(22), 7614; https://doi.org/10.3390/en16227614 - 16 Nov 2023
Viewed by 713
Abstract
Growth in renewable energy systems, direct current (DC) microgrids, and the adoption of electric vehicles (EVs) will substantially increase the demand for bi-directional converters. Precise control mechanisms are essential to ensure optimal performance and better efficiency of these converters. This paper proposes a [...] Read more.
Growth in renewable energy systems, direct current (DC) microgrids, and the adoption of electric vehicles (EVs) will substantially increase the demand for bi-directional converters. Precise control mechanisms are essential to ensure optimal performance and better efficiency of these converters. This paper proposes a deep neural network (DNN)-based controller designed to precisely control bi-directional converters for vehicle-to-vehicle (V2V) and vehicle-to-grid (V2G) applications. This control technique allows the converter to quickly attain new reference values, enhancing performance and efficiency by significantly reducing the overshoot duration. To train the DNN controller, large synthetic data are used by performing simulations for various sets of conditions, and the results are validated with a hardware setup. The real-time performance of the DNN controller is compared with a conventional proportional–integral (PI)-based controller through simulated results using MATLAB Simulink (version 2023a) and with a real-time setup. The converter attains a new reference of about 975 μs with the proposed control technique. In contrast, the PI controller takes about 220 ms, which shows that the proposed control technique is far better than the PI controller. Full article
(This article belongs to the Special Issue Planning and Operation of Integrated Renewable Energy Distribution System)
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