Advances in Power System Dynamics, Stability, Control and Dispatch with Large-Scale Renewable Energy Penetrated, 2nd Edition

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Industrial Electronics".

Deadline for manuscript submissions: 15 August 2025 | Viewed by 753

Special Issue Editors

Department of Electrical Engineering, Sichuan University, Chengdu 610065, China
Interests: power system stability; power system operational planning; artificial intelligence applications in power systems
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Guest Editor
Department of Electrical Engineering, Sichuan University, Chengdu 610065, China
Interests: intelligent control; power system stability and control; active distribution network dispatch and control; energy storage; artificial intelligence applications in power systems
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Guest Editor
Electrical Engineering Department, Northeast Electric Power University, Jilin 132011, China
Interests: automatic control; intelligent scheduling; microgrid optimal dispatch; integrated energy system; renewable energy
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Guest Editor
School of Electric Engineering, Xi’an Jiaotong University, Xi’an 713599, China
Interests: power system control; optimal control; reliability evaluation and machine learning technologies in power systems
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Special Issue Information

Dear Colleagues,

Low-carbon ambitions around the world have motivated a great number of advancements in the utilization of renewable energy. As a pivotal carrier for renewable energy, electric power systems are currently undergoing groundbreaking developments. For example, the stochasticity of renewable energy triggers the significant operational variability of power systems. In this case, unpredictable system oscillations, such as power oscillation, frequency instability, etc., can occur at any time once any inapplicable control or dispatch exists. Unfavorably, these improper control phenomena occur more easily since it can be intensely challenging to find a “one-size-fits-all” strategy to relieve oscillations or instability situations within the tremendous operational space of a renewable energy-penetrated power system. Moreover, a high proportion of power electronic devices necessitate electromagnetic transient analysis to better understand their impacts on power system stability. Thus, an overwhelming computing workload can emerge, making it more complicated to efficiently provide power system control or a dispatch strategy. Furthermore, renewable energy has widely supplanted conventional rotary generators. Given this scenario, newly appearing challenges (e.g., low-inertia and weak AC systems, etc.) are becoming key concerns for power system control and stability.

In this Special Issue, we encourage contributions addressing the barriers existing in renewable energy-penetrated power system stability analysis, control and dispatch. Recent advances in real-time simulation, intelligent control and artificial intelligence-based optimization and control are also welcome. Topics of interest include, but are not limited to, the following:

(1) Stability analysis in renewable energy-penetrated power systems;

(2) Stability analysis in microgrids, active distribution networks and integrated energy systems;

(3) Fast control or dispatch of renewable energy-penetrated power systems;

(4) Fast control or dispatch of microgrids, active distribution networks and integrated energy systems;

(5) Control of power electronic devices;

(6) Control of flexible AC/DC transmission systems;

(7) Artificial intelligence applications in power system stability analysis, control and dispatch;

(8) Simulation techniques of transmission system microgrids, active distribution networks and integrated energy systems with the penetration of renewable energy.

Dr. Gao Qiu
Prof. Dr. Youbo Liu
Prof. Dr. Mao Yang
Dr. Yuxiong Huang
Guest Editors

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Keywords

  • power system stability and control
  • power system dynamics
  • intelligent-based power system analysis
  • power system simulation
  • artificial intelligence application

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Related Special Issue

Published Papers (2 papers)

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Research

32 pages, 7153 KiB  
Article
An Explicit Transient Rotor Angle Stability Criterion Involving the Fault Location Factor of Doubly Fed Induction Generator Integrated Power Systems
by Yuanhan Zhong, Gao Qiu, Junyong Liu, Tingjian Liu, Youbo Liu and Wei Wei
Electronics 2025, 14(8), 1526; https://doi.org/10.3390/electronics14081526 - 9 Apr 2025
Viewed by 265
Abstract
Current transient stability analysis of power systems with doubly fed induction generators (DFIGs) draws upon the assumption that nodal electromagnetic power equals to zero during the fault period. The omission of electromagnetic power degrades the fidelity of transient stability analysis and renders the [...] Read more.
Current transient stability analysis of power systems with doubly fed induction generators (DFIGs) draws upon the assumption that nodal electromagnetic power equals to zero during the fault period. The omission of electromagnetic power degrades the fidelity of transient stability analysis and renders the analytical impact of fault location on stability indiscernible. To address this limitation, a DFIG-integrated power system-oriented transient stability mechanism analysis method is proposed involving fault location factors. Firstly, a foundational analysis model is established by integrating a simplified DFIG representation with the improved DC power flow corrected by the fault’s instantaneous short-circuit voltage. Secondly, the non-metallic symmetrical short-circuit fault is equivalently treated as a power injection source, and the faulted electromagnetic power of generators is derived. The proposed equivalence is roughly correct, as its faulted energy integral is validated to approximate ground-truth. Lastly, combining the above analytical formulas and extended equal area criterion (EEAC), a time-domain simulation-free explicit transient stability criterion incorporating fault location factor is settled. Simulation results in a double-generator system with DFIG integration confirm that, compared to existing transient stability criterion, the proposed criterion can expand the stability assessable area by approximately 10% while maintaining accuracy. Full article
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36 pages, 18918 KiB  
Article
A New Energy High-Impact Process Weather Classification Method Based on Sensitivity Factor Analysis and Progressive Layered Extraction
by Zhifeng Liang, Zhao Wang, Nan Wu, Yue Jiang and Dayan Sun
Electronics 2025, 14(7), 1336; https://doi.org/10.3390/electronics14071336 - 27 Mar 2025
Viewed by 247
Abstract
For the electricity system with a high proportion of new energy, the extreme weather events caused by climate change will make the new energy power supply present an extremely complicated situation, thus affecting the safe and stable operation of the power system. In [...] Read more.
For the electricity system with a high proportion of new energy, the extreme weather events caused by climate change will make the new energy power supply present an extremely complicated situation, thus affecting the safe and stable operation of the power system. In order to solve the above problems, this study proposes a classification method of the extreme weather process based on the Progressive Layered Extraction (PLE) model considering the weather-sensitive factors with high impact on new energy. This method analyses the sensitive factors affecting the new energy output from the two perspectives of abnormal output and abnormal prediction error, defines the high-impact weather process, and divides the standard set. According to the standard set, a high-impact weather process identification model based on PLE is constructed to provide more accurate early warning information. The proposed method is applied to a new energy cluster in Jiangxi Province, China. Compared with the traditional classification task model, the accuracy of the proposed method is increased by 1.30%, which verifies the effectiveness of the proposed method. Full article
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