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Dynamic Simulation and Analysis in Modern Power Systems

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

Deadline for manuscript submissions: 5 January 2026 | Viewed by 468

Special Issue Editor


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Guest Editor
School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Interests: demand response in smart grids; power system scheduling; optimization with uncertainty

Special Issue Information

Dear Colleagues,

The modern power system faces significant challenges from the large-scale integration of renewable energy, and its digitization and simulation is being reconstructed with new technologies and tools such as artificial intelligence (AI). The dynamic simulation and analysis of power systems is crucial to Meanwhile, the question of how to apply technologies such as digital twins and AI in the simulation and analysis of power systems to make them fast and accurate needs to be explored in depth with the new characteristics of modern power systems.

This Special Issue aims to present and disseminate the most recent advances related to the forecasting, modeling, scheduling, and control techniques in modern power systems.

Topics of interest for publication include but are not limited to

  • Optimal scheduling of power system operations;
  • Renewable energy and load forecasting;
  • Renewable energy uncertainty modeling;
  • Integrated energy system modeling and simulations;
  • AI application in power system simulations;
  • Digital twin modeling in power systems;
  • Real-time simulations of power systems;
  • Power system condition assessments and predictions;
  • Stability control of power systems;
  • Stability analysis of power systems.

Dr. Yuefang Du
Guest Editor

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

  • modern power system
  • simulation
  • modeling
  • forecast
  • renewable energy

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Published Papers (1 paper)

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Research

15 pages, 1602 KB  
Article
Energy Storage Capacity Configuration and Scheduling Method for Microgrid Considering Demand Response
by Tingzhe Pan, Chao Li, Xin Jin, Zijie Meng and Xinlei Cai
Energies 2025, 18(19), 5167; https://doi.org/10.3390/en18195167 - 28 Sep 2025
Viewed by 346
Abstract
In recent years, with the development of the electricity market, electricity users have also been able to participate in electricity trading. The energy storage capacity configuration of microgrids with renewable energy considering demand response is of great significance for reducing microgrid costs, improving [...] Read more.
In recent years, with the development of the electricity market, electricity users have also been able to participate in electricity trading. The energy storage capacity configuration of microgrids with renewable energy considering demand response is of great significance for reducing microgrid costs, improving renewable energy consumption levels, and enhancing microgrid performance. This study first establishes a microgrid model considering demand response. Constraints and economic models of the microgrid are then provided to obtain the cost of the microgrid. To identify the energy storage capacity and the energy scheduling strategy that minimizes the operation cost of the microgrid, this study proposes a two-layer optimization model. The inner layer uses solvers to optimize the transferable loads, interruptible loads, and the energy storage power under the demand response mechanism to minimize the short-term cost. The outer layer uses the particle swarm optimization (PSO) algorithm to optimize the energy storage capacity and minimize the long-term cost. A case analysis shows that the demand response mechanism and reasonable energy storage configuration have a significant effect on reducing the operation cost of the microgrid. In addition, energy storage can reduce power fluctuations in connecting lines and improve the stability of the microgrid. Full article
(This article belongs to the Special Issue Dynamic Simulation and Analysis in Modern Power Systems)
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