Optimal Design, Control and Simulation of Energy Management Systems

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Energy Systems".

Deadline for manuscript submissions: 30 September 2025 | Viewed by 1217

Special Issue Editors


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Guest Editor
Department of Electrical Engineering, North China Electric Power University, Baoding 071003, China
Interests: energy storage; ectricity market; integrated energy system

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Guest Editor
School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
Interests: power quality; interruption; voltage source converter; power control

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Guest Editor
College of Electrical Engineering, Guizhou University, Guiyang 550025, China
Interests: intelligent operation and maintenance; smart energy systems; learning based optimization and control

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Guest Editor
School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
Interests: energy management systems; energy-transportation coupling; energy system resilience

Special Issue Information

Dear Colleagues,

Energy management systems (EMSs) have become critical in modern power grids and industrial applications due to the increasing complexity of energy production, distribution, and consumption. As the world shifts toward sustainable energy solutions, the optimal design, control, and simulation of EMSs are paramount to ensuring efficiency, stability, and flexibility in managing diverse energy resources.

This Special Issue entitled “Optimal Design, Control and Simulation of Energy Management Systems” seeks to showcase cutting-edge research focused on the development and improvement of EMSs. The aim is to bring together the latest advances in the design, control algorithms, and simulation techniques that optimize energy use across various sectors, such as power grids, renewable energy integration, smart buildings, and industrial processes. Topics of interest include, but are not limited to, the following:

  • Optimal design and architecture of energy management systems;
  • Advanced control strategies for real-time EMSs (e.g., model predictive control, adaptive control, multi-agent systems);
  • Simulation techniques for EMS performance analysis under different operating conditions;
  • Integration of renewable energy sources (e.g., wind, solar) into EMSs;
  • Demand response and load forecasting for efficient energy utilization;
  • Battery storage and energy storage system optimization in EMSs;
  • Distributed energy resource (DER) management and coordination;
  • Cybersecurity and fault tolerance in EMSs;
  • Case studies and applications of EMSs in power grids, industrial plants, and smart homes.

Dr. Chutong Wang
Prof. Dr. Junhui Li
Prof. Dr. Wuqin Tang
Dr. Yubin Wang
Guest Editors

Manuscript Submission Information

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Keywords

  • energy management systems
  • advanced control strategies
  • integration of renewable energy sources
  • distributed energy resources
  • energy storage systems
  • simulation techniques
  • demand response and load forecasting

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Published Papers (1 paper)

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Research

15 pages, 2640 KiB  
Article
Inverse Characteristic Locus Method for Power System Low-Frequency Oscillation Control and Optimal Design
by Peng Shi, Yongcan Wang, Xi Wang, Chengwei Fan, Jiayu Bai, Baorui Chen, Hao Xu, Deqiang Gan and Chutong Wang
Processes 2025, 13(3), 920; https://doi.org/10.3390/pr13030920 - 20 Mar 2025
Viewed by 187
Abstract
Recent results indicate that the characteristic locus method provides a convenient approach for analyzing power system low-frequency stability. In this study, an enhanced version of the method, referred to as the inverse characteristic locus method, is introduced. By inverting the similarity matrix of [...] Read more.
Recent results indicate that the characteristic locus method provides a convenient approach for analyzing power system low-frequency stability. In this study, an enhanced version of the method, referred to as the inverse characteristic locus method, is introduced. By inverting the similarity matrix of the loop transfer function matrix of the system, a more reliable and accurate stability metric is obtained. The proposed method is applied to assess the impact of changes in wind turbine generator (WTG) dynamics and system operating conditions on stability. Simulation results demonstrate that variations in system operating conditions exert a greater influence on stability compared to changes in WTG dynamics. Full article
(This article belongs to the Special Issue Optimal Design, Control and Simulation of Energy Management Systems)
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