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Methods and Technologies for Flexible Resources Integrating and Interacting with Multi-Energy Systems

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F2: Distributed Energy System".

Deadline for manuscript submissions: 31 May 2024 | Viewed by 1756

Special Issue Editors

Prof. Dr. Jumpei Baba

E-Mail Website
Guest Editor
Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Chiba 277-8561, Japan
Interests: power electronics; power systems; energy storage systems; renewable energy sources
Dr. Junyi Zhai

E-Mail Website
Guest Editor
College of New Energy, China University of Petroleum (East China), Qingdao 266580, China
Interests: multi-energy system planning and operation; data-driven decision-making under uncertainty; distributed convex/nonconvex optimization
Dr. Bo Jie

E-Mail Website
Guest Editor
Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
Interests: power system operation and control with market mechanism; power system economics, evolutionary computation, and optimization; V2G; EMS; distribution system control
Dr. Chenhui Song

E-Mail Website
Guest Editor
School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410114, China
Interests: multi-energy system modeling and security analysis; distribution network security analysis, planning, and operation; new energy development planning

Special Issue Information

Dear Colleagues,

With the rapid development of industries such as electric vehicles, energy storage, and distributed generation, a large number of flexible resources will need to be integrated into the multi-energy system (MES). Renewable energy sources such as wind and solar have characteristics such as randomness, volatility, and intermittency; meanwhile, electric vehicle users have disordered charging and discharging characteristics, and their charging and discharging behavior often deviates from the fluctuation trend of the load curves of energy systems, causing certain problems related to the security, reliable and low-carbon operation of energy systems. Firstly, the operating mechanisms of flexible resources are different, and the adaptability and potential for carbon reduction and efficiency enhancement of decentralized integration into MES need to be explored. Secondly, there is a lack of planning and operation methods that can fully leverage the collaborative benefits of scaled flexible resources. Flexible resource integration can effectively reduce the operational risks brought about by access to the MES, and flexible interaction with various energy systems can effectively improve the economy and reliability of MES. Therefore, this Special Issue invites numerous authors from academic, industrial, and consulting backgrounds to showcase their latest research in the planning, operation, and interaction of flexible resource integration into MES.

This Special Issue solicits original and novel research papers addressing the following topics (this list, however, is by no means exhaustive):

  • Analysis of the operational characteristics and mechanisms of flexible resources, such as electric vehicles, energy storage, and distributed generators;
  • Risk and benefit assessment of incorporating scaled flexible resources into MES;
  • Adaptability and interactive potential of scaled flexible resources integrated into MES;
  • Analysis of the coupling characteristics of flexible resources and multi-energy loads, and their aggregation methods;
  • Low-carbon and carbon-reduction technology under the coordination of flexible resources and MES;
  • Collaborative planning and operation methods for MES under multiple uncertainties;
  • Interactive method between flexible resources and MES, and self-balancing technology for sources and loads;
  • Energy market mechanism and business model for scaled flexible resources integration.

Prof. Dr. Jumpei Baba
Dr. Junyi Zhai
Dr. Bo Jie
Dr. Chenhui Song
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

  • flexible resources integration
  • electric vehicle
  • energy storage
  • distributed generation
  • multi-energy system
  • interaction between flexible resource and MES
  • collaborative planning and operation
  • low carbon and carbon reduction

Published Papers (3 papers)

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Research

19 pages, 3418 KiB  
Article
Low-Carbon Optimization of Integrated Energy Systems with Time-of-Use Carbon Metering on the User Side
by Yulong Yang, Jialin Zhang, Tao Chen and Han Yan
Energies 2024, 17(9), 2071; https://0-doi-org.brum.beds.ac.uk/10.3390/en17092071 - 26 Apr 2024
Viewed by 205
Abstract
In the wake of the dual-carbon objective, the call for low-carbon attributes in integrated energy systems is ascending, with an amplified imperative to integrate wind and solar power efficiently. This study introduces an advanced low-carbon optimization framework for integrated energy systems, incorporating a [...] Read more.
In the wake of the dual-carbon objective, the call for low-carbon attributes in integrated energy systems is ascending, with an amplified imperative to integrate wind and solar power efficiently. This study introduces an advanced low-carbon optimization framework for integrated energy systems, incorporating a sophisticated time-differentiated carbon accounting mechanism attentive to consumer emissions. A nuanced carbon accounting model is crafted to assess consumer emissions with greater accuracy. Predicated on these emissions, a refined low-carbon demand response model is articulated, factoring in the influence of carbon emission factors pertinent to electricity and heat procurement on user conduct. This model integrates the consideration of heat reclaimed from methanation processes, which in turn informs the carbon emission factors associated with purchased heat, and evaluates the subsequent optimization impact on the system. The proposed model is designed to curtail the system’s operational expenditures and is operationalized via the CPLEX solver. Through the establishment of various scenarios for evaluative comparison, the model is corroborated to substantially augment the system’s proficiency in assimilating wind and solar energy, markedly curtail carbon emissions, and facilitate a sustainable and cost-efficient operation of the integrated energy system. Full article
(This article belongs to the Special Issue Methods and Technologies for Flexible Resources Integrating and Interacting with Multi-Energy Systems)
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22 pages, 4292 KiB  
Article
Optimal Prosumer Operation with Consideration for Bounded Rationality in Peer-to-Peer Energy Trading Systems
by Jianhong Hao, Ting Huang, Yi Sun, Xiangpeng Zhan, Yu Zhang and Peng Wu
Energies 2024, 17(7), 1724; https://0-doi-org.brum.beds.ac.uk/10.3390/en17071724 - 03 Apr 2024
Viewed by 398
Abstract
With the large-scale development of distributed energy on the demand side, the trend of “supply exceeding demand” has gradually become prominent, and regional peer-to-peer (P2P) energy trading has become an important measure to improve the local consumption of distributed energy. However, most existing [...] Read more.
With the large-scale development of distributed energy on the demand side, the trend of “supply exceeding demand” has gradually become prominent, and regional peer-to-peer (P2P) energy trading has become an important measure to improve the local consumption of distributed energy. However, most existing studies usually assume that prosumers behave entirely rationally with the goal of maximum benefit, which has been proved to deviate from the observed actual behaviors. Aiming at the optimal energy of prosumers participating in the P2P market, a prospect theory-based two-stage stochastic optimization model considering the bounded rationality was proposed to accurately simulate the decision-making behavior. Then, a benefit maximization model for the energy trading service provider (ETSP) was constructed considering the power flow constraint to ensure the safe operation of the system. Finally, an improved R-ADMM algorithm considering timeout was proposed to solve the above model and improve the convergence speed. The effectiveness of the proposed model and algorithm was verified via simulation. Full article
(This article belongs to the Special Issue Methods and Technologies for Flexible Resources Integrating and Interacting with Multi-Energy Systems)
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30 pages, 9313 KiB  
Article
A Novel Method for Line Selection for Cross-Line Two-Point Successive Grounding Faults Utilizing Transient and Steady-State Information
by Yizhao Wang, Jian Liu, Zhihua Zhang and Shuangxue Ren
Energies 2024, 17(4), 950; https://0-doi-org.brum.beds.ac.uk/10.3390/en17040950 - 18 Feb 2024
Viewed by 545
Abstract
In order to improve the performance of an arc suppression coil grounding system in handling cross-line two-point successive grounding faults (CTSGs), the applicability of the transient quantity method and the steady-state quantity method for assessing CTSGs is analyzed. Then, a novel method for [...] Read more.
In order to improve the performance of an arc suppression coil grounding system in handling cross-line two-point successive grounding faults (CTSGs), the applicability of the transient quantity method and the steady-state quantity method for assessing CTSGs is analyzed. Then, a novel method for line selection for CTSGs was proposed, which comprehensively utilizes transient and steady-state information. Specifically, this method adopts a continuous line selection process, with priority given to the transient quantity method, and a supplementary line selection process, with priority given to the steady-state quantity method. After accurately selecting some faulty lines, such lines are tripped, and then, the process proceeds with continuous line selection again. When the number of cycles exceeds the set value, and the fault line cannot be completely cut off, they are tripped one by one according to the degree to which they are approaching the steady-state method criterion, from large to small. Furthermore, in response to the dramatic increase in computing volume that is caused by the continuous application of the transient method in on-site applications and the impact of current transformer accuracy on the steady-state method, this paper proposes corresponding solutions. PSCAD simulation, full-scale tests, and field recording data tests verify that this paper’s method can accurately detect a CTSG. Full article
(This article belongs to the Special Issue Methods and Technologies for Flexible Resources Integrating and Interacting with Multi-Energy Systems)
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