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Advanced Design and Optimization for Integrated Power and Energy Systems
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Advanced Design and Optimization for Integrated Power and Energy Systems

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F1: Electrical Power System".

Deadline for manuscript submissions: 20 June 2025 | Viewed by 1592

Special Issue Editors

Dr. Nan Lu

E-Mail Website
Guest Editor
College of Electrical Engineering, Sichuan University, Chengdu 610065, China
Interests: power system design planning and optimal operation; integrated energy system reliability and vulnerability analysis
Dr. Pai Li

E-Mail
Guest Editor
National Key Laboratory of Renewable Energy Grid Connection, China Electric Power Research Institute, Beijing 100192, China
Interests: renewable energy planning and power scheduling
Dr. Yumeng Liu

E-Mail Website
Guest Editor
Department of Electrical Engineering, North China Electric Power University, Baoding 071003, China
Interests: reliability and risk analysis of integrated energy systems; cascading failure of power systems

Special Issue Information

Dear Colleagues,

The Guest Editors are inviting submissions to a Special Issue of Energies on “Advanced Design and Optimization for Integrated Power and Energy Systems”. In the context of integrating various energy forms (such as electricity, heat, gas, water, etc.), integrated energy systems have emerged as a crucial pathway for improving energy efficiency and reducing carbon emissions. By optimizing these systems, it is possible to achieve the complementarity and synergy of energy resources, enhance the flexibility and reliability of energy systems, promote the efficient utilization of renewable energies, and provide solutions to energy demand fluctuations.

This Special Issue invites original research articles addressing technical, economic, and policy considerations to enhance the integration of different energy systems. Topics of interest for this Special Issue include, but are not limited to, the following areas:

  1. Interdependency analysis in multi energy systems.
  2. Accommodation of renewable energy with integrated energy systems.
  3. Coordinated scheduling/dispatching of integrated energy systems.
  4. Coordinated planning of integrated energy systems.
  5. Uncertainty modeling of integrated energy systems.
  6. Reliability and risk of integrated energy systems.
  7. Energy storage and flexible resources.
  8. Carbon emissions and environmental impact optimization.

Dr. Nan Lu
Dr. Pai Li
Dr. Yumeng Liu
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 power and energy systems
  • renewable energy
  • flexible resources
  • coordinated scheduling/dispatching
  • coordinated planning
  • system reliability
  • risk analysis

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Published Papers (3 papers)

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Research

21 pages, 3113 KiB  
Article
Collaborative Scheduling Framework for Post-Disaster Restoration: Integrating Electric Vehicles and Traffic Dynamics in Waterlogging Scenarios
by Hao Dai, Ziyu Liu, Guowei Liu, Hao Deng, Lisheng Xin, Liang He, Longlong Shang, Dafu Liu, Jiaju Shi, Ziwen Xu and Chen Chen
Energies 2025, 18(7), 1708; https://doi.org/10.3390/en18071708 - 28 Mar 2025
Viewed by 122
Abstract
Frequent and severe waterlogging caused by climate change poses significant challenges to urban infrastructure systems, particularly transportation networks (TNs) and distribution networks (DNs), necessitating efficient restoration strategies. This study proposes a collaborative scheduling framework for post-disaster restoration in waterlogging scenarios, addressing the impact [...] Read more.
Frequent and severe waterlogging caused by climate change poses significant challenges to urban infrastructure systems, particularly transportation networks (TNs) and distribution networks (DNs), necessitating efficient restoration strategies. This study proposes a collaborative scheduling framework for post-disaster restoration in waterlogging scenarios, addressing the impact of waterlogging on both transportation and distribution systems. The method integrates electric vehicles (EVs), mobile power sources (MPSs), and repair crews (RCs) into a unified optimization model, leveraging an improved semi-dynamic traffic assignment (SDTA) model that accounts for temporal variations in road accessibility due to water depth. Simulation results based on the modified IEEE 33-node distribution network and SiouxFalls 35-node transportation network demonstrate the framework’s ability to optimize resource allocation under real-world conditions. Compared to conventional methods, the proposed approach reduces system load loss by more than 30%. Full article
(This article belongs to the Special Issue Advanced Design and Optimization for Integrated Power and Energy Systems)
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17 pages, 1054 KiB  
Article
A Method for Restoring Power Supply to Distribution Networks Considering the Coordination of Multiple Resources Under Typhoon-Induced Waterlogging Disasters
by Hao Dai, Dafu Liu, Guowei Liu, Hao Deng, Lisheng Xin, Longlong Shang, Ziyu Liu, Ziwen Xu, Jiaju Shi and Chen Chen
Energies 2025, 18(5), 1284; https://doi.org/10.3390/en18051284 - 6 Mar 2025
Viewed by 579
Abstract
Recently, frequent typhoons and waterlogging disasters have caused severe damage to the power distribution networks in coastal cities. In response to this issue, how to efficiently develop recovery plans and achieve flexible resource coordination has become key for urban power grids in regard [...] Read more.
Recently, frequent typhoons and waterlogging disasters have caused severe damage to the power distribution networks in coastal cities. In response to this issue, how to efficiently develop recovery plans and achieve flexible resource coordination has become key for urban power grids in regard to coping with extreme natural disasters. Therefore, this article proposes a multi type flexible resource collaborative scheduling method for power supply restoration in distribution networks which realizes cooperation between maintenance teams and mobile energy storage in the scenario of wind and flood composite disasters, simultaneously completing the transfer of important loads through topology reconstruction. Firstly, a damage model for distribution network nodes and lines under wind–flood composite disasters was established to address the impact of typhoons and waterlogging disasters on the distribution network. Then, based on the inherent characteristics of multiple types of flexible resources, various collaborative recovery models for flexible resources after disasters were established. Finally, the effectiveness of the proposed method was verified through the coupling example of a 33-node distribution network and a 30-node transportation network. Full article
(This article belongs to the Special Issue Advanced Design and Optimization for Integrated Power and Energy Systems)
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21 pages, 983 KiB  
Article
Energy Trading Strategies for Integrated Energy Systems Considering Uncertainty
by Jin Gao, Zhenguo Shao, Feixiong Chen and Mohammadreza Lak
Energies 2025, 18(4), 935; https://doi.org/10.3390/en18040935 - 15 Feb 2025
Viewed by 506
Abstract
To improve the stable operation and promote the energy sharing of the integrated energy system (IES), a comprehensive energy trading strategy considering uncertainty is proposed. Firstly, an IES model incorporating power-to-gas (P2G) and a carbon capture system (CCS) is established to reduce carbon [...] Read more.
To improve the stable operation and promote the energy sharing of the integrated energy system (IES), a comprehensive energy trading strategy considering uncertainty is proposed. Firstly, an IES model incorporating power-to-gas (P2G) and a carbon capture system (CCS) is established to reduce carbon emissions. Secondly, this model is integrated into a four-level robust optimization to address the fluctuation of renewable energy sources in IES operations. This not only considers probability distribution scenarios of renewable energy and the uncertainty of its output, but also effectively reduces the model’s conservatism by constructing a multi-interval uncertainty set. On this basis, a Nash–Harsanyi bargaining method is used to solve the issue of benefit allocation among multiple IESs. Finally, the energy trading model is solved using a distributed algorithm that ensures an equitable distribution of benefits while protecting the privacy of each IES. The simulation results validate the effectiveness of the proposed strategy. Full article
(This article belongs to the Special Issue Advanced Design and Optimization for Integrated Power and Energy Systems)
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