Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.5
3.2
Journals
Energies
Special Issues
Advances in Operation, Optimization and Control of Modern Distribution Network
energies-logo
Submit to Special Issue Submit Abstract to Special Issue Review for Energies Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Advances in Operation, Optimization and Control of Modern Distribution Network

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

Deadline for manuscript submissions: 14 May 2024 | Viewed by 2345

Special Issue Editors

Prof. Dr. Min Wang

E-Mail Website
Guest Editor
College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China
Interests: distributed resources; microgrids; demand response
Prof. Dr. Bing Wang

E-Mail Website
Guest Editor
College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China
Interests: intelligent sensor; nonlinear networked control and application
Special Issues, Collections and Topics in MDPI journals
Dr. Lei Wang

E-Mail Website
Guest Editor
Anhui Provincial Laboratory of Renewable Energy Utilization and Energy Saving, Hefei University of Technology, Hefei 230009, China
Interests: integrated energy systems

Special Issue Information

Dear Colleagues,

With the emergence of distributed resources, power electronic equipment and the development of computer and information technology, the operation, optimization and control of modern distribution networks present many new characteristics, which may be active, intelligent or even modular. New power electronic equipment and distributed resources with high permeability have substantially changed the structural characteristics and physical characteristics of distribution networks. The trend of decentralized market transaction has posed new challenges to the reliable, safe and fair operation of distribution networks. The application of new monitoring equipment, the high-speed development of a new generation of computers and communication technology has further promoted the exploration of distribution network operation, optimization and control. It has become more challenging for distribution networks to ensure good power quality under the premise of achieving green and low-carbon operation.

This Special Issue aims to introduce and disseminate the latest progress in the structure, operation, monitoring, optimization, planning, modeling and control of modern distribution networks.

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

  • Structural optimization of active distribution network;
  • Power electronic transformer (PET), flexible loop closing device, flexible reactive power compensation device and their application in distribution networks;
  • Demand-response classification and response capability assessment;
  • Research on power market and trading mode of distribution side;
  • Power quality of distribution network and its treatment measures;
  • Distribution network monitoring and data analysis technology;
  • Interaction strategy between microgrid and distribution network;
  • Short-term and ultra-short-term forecasting techniques for renewable energy generation;
  • Energy storage devices and their application.

Prof. Dr. Min Wang
Prof. Dr. Bing Wang
Dr. Lei Wang
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

  • distributed resources
  • microgrids
  • demand response
  • active distribution
  • decentralized exchanges

Published Papers (3 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

16 pages, 1468 KiB  
Article
CubeSat Mission Scheduling Method Considering Operational Reliability
by Jingjing Zhang, Chenyang He, Yan Zhang, Xianjun Qi and Xi Yang
Energies 2024, 17(2), 490; https://doi.org/10.3390/en17020490 - 19 Jan 2024
Viewed by 593
Abstract
Mission scheduling is an effective method to increase the value of satellite missions and can greatly improve satellite resource management and quality of service. Based on the priority-based task scheduling model, this paper proposes a CubeSat scheduling method that takes operational reliability into [...] Read more.
Mission scheduling is an effective method to increase the value of satellite missions and can greatly improve satellite resource management and quality of service. Based on the priority-based task scheduling model, this paper proposes a CubeSat scheduling method that takes operational reliability into account, considering the impact of scheduling results on reliable operation. In this method, the available energy and the time window are used as scheduling resources, and the average state of charge of the lithium battery and the number of task start-ups are defined as two indices to measure its reliability. To meet the mission requirements and energy availability of photovoltaic (PV) solar panel and battery constraints, the scheduling model is constructed with an objective function that includes mission priority and reliability index. The branch and bound (BB) method and analytical hierarchy process (AHP) method are used to solve the scheduling problem. The example analysis compares different scheduling results and verifies the effectiveness of the proposed scheduling method. Compared with the existing methods, it comprehensively considers the mission value and operational reliability of the CubeSat, improves the energy reserve level of the CubeSat, and reduces the surge current caused by the start-up of tasks. Full article
(This article belongs to the Special Issue Advances in Operation, Optimization and Control of Modern Distribution Network)
►▼ Show Figures

Figure 1

21 pages, 584 KiB  
Article
Leveraging Behavioral Correlation in Distribution System State Estimation for the Recognition of Critical System States
by Eva Buchta, Mathias Duckheim, Michael Metzger, Paul Stursberg and Stefan Niessen
Energies 2023, 16(20), 7180; https://doi.org/10.3390/en16207180 - 20 Oct 2023
Viewed by 770
Abstract
State estimation for distribution systems faces the challenge of dealing with limited real-time measurements and historical data. This work describes a Bayesian state estimation approach tailored for practical implementation in different data availability scenarios, especially when both real-time and historical data are scarce. [...] Read more.
State estimation for distribution systems faces the challenge of dealing with limited real-time measurements and historical data. This work describes a Bayesian state estimation approach tailored for practical implementation in different data availability scenarios, especially when both real-time and historical data are scarce. The approach leverages statistical correlations of the state variables from a twofold origin: (1) from the physical coupling through the grid and (2) from similar behavioral patterns of customers. We show how these correlations can be parameterized, especially when no historical time series data are available, and that accounting for these correlations yields substantial accuracy gains for state estimation and for the recognition of critical system states, i.e., states with voltage or current limit violations. In a case study, the approach is tested in a realistic European-type, medium-voltage grid. The method accurately recognizes critical system states with an aggregated true positive rate of 98%. Compared to widely used approaches that do not consider these correlations, the number of undetected true critical cases can be reduced by a factor of up to 9. Particularly in the case where no historical smart meter time series data is available, the recognition accuracy of critical system states is nearly as high as with full smart meter coverage. Full article
(This article belongs to the Special Issue Advances in Operation, Optimization and Control of Modern Distribution Network)
►▼ Show Figures

Figure 1

18 pages, 7292 KiB  
Article
A Consideration of the Single-Phase Photovoltaic and Energy Storage Joint Regulation of a Three-Phase Unbalanced Control Strategy in a Power Distribution System
by Min Wang, Huilin Wang, Fanglin Zuo, Jie Zou, Yuan Chen and Zixuan Yu
Energies 2023, 16(12), 4817; https://doi.org/10.3390/en16124817 - 20 Jun 2023
Viewed by 667
Abstract
With a large amount of distributed power and energy storage access, the traditional three-phase unbalanced treatment of a power distribution system is mainly aimed at the three-phase unbalance of a load, which cannot effectively address the three-phase unbalance problem of a power distribution [...] Read more.
With a large amount of distributed power and energy storage access, the traditional three-phase unbalanced treatment of a power distribution system is mainly aimed at the three-phase unbalance of a load, which cannot effectively address the three-phase unbalance problem of a power distribution network after a large number of single-phase photovoltaic access. Therefore, this paper proposes a three-phase unbalanced treatment strategy for the distribution network, which considers the joint regulation ability of single-phase photovoltaic and energy storage and the regulation ability of a reactive power compensation device. Firstly, the joint regulation ability of single-phase photovoltaic and energy storage under different photovoltaic permeability is analyzed. Secondly, according to the joint regulation ability of single-phase photovoltaic and energy storage and the regulation ability of reactive power compensation device, the three-phase power optimization model is constructed to minimize the three-phase unbalance degree and regulation cost, and the JAYA optimization algorithm is used to solve the model. Finally, the 33-node distribution system is used to verify the effectiveness of the proposed strategy. Full article
(This article belongs to the Special Issue Advances in Operation, Optimization and Control of Modern Distribution Network)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-3
Back to TopTop