Advances in Power System Dynamics, Stability, Control and Dispatch with Large-Scale Renewable Energy Penetrated, 3rd Edition

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

Deadline for manuscript submissions: 15 September 2026 | Viewed by 194

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
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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Guest Editor
School of Electrical and Electronic Engineering‌, Huazhong University of Science and Technology, Wuhan 430074, China
Interests: wable-penetrated power system operation and control

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 evolution. 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 controls occur more easily since it can be intensely challenging to find a “one-size-fits-all” strategy to relieve oscillations or instability situations within such a tremendous operational space of the renewable energy-penetrated power system. On the other hand, 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 to make 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 to 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. The 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 network, and integrated energy systems;

(5) Control of power electronic devices;

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

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

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

Dr. Gao Qiu
Prof. Dr. Youbo Liu
Dr. Yuxiong Huang
Dr. Hang Shuai
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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Published Papers (1 paper)

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Research

18 pages, 2172 KB  
Article
Physics-Informed Neural Network-Based Solution Strategy for Voltage-Reactive Power Online Feedback Optimization Control
by Yue Shui, Zhimin Li and Gao Qiu
Electronics 2026, 15(10), 2081; https://doi.org/10.3390/electronics15102081 - 13 May 2026
Abstract
With the continuous increase in renewable energy penetration and the expansion of power grid scale, the computational complexity and solution time of traditional voltage-reactive power (V-Q) control solution methods have grown significantly, making it difficult to achieve fast responses in real-time voltage control. [...] Read more.
With the continuous increase in renewable energy penetration and the expansion of power grid scale, the computational complexity and solution time of traditional voltage-reactive power (V-Q) control solution methods have grown significantly, making it difficult to achieve fast responses in real-time voltage control. To address this issue, this paper proposes a physics-informed neural network (PINN)-based solution strategy for V-Q online feedback optimization (OFO) control. First, an optimal reactive power flow (ORPF) model is established with the objective of minimizing the control cost of reactive power resources. By integrating PMU measurement data, the ORPF problem is transformed into an OFO control problem. Then, a PINN-driven V-Q control solution framework is developed, and an improved grey wolf optimizer is employed to optimize the initial parameters of the PINN, enabling the fast online computation of a V-Q control strategy. Test results demonstrate that under both single-fault disturbance and multiple-fault disturbance scenarios, the proposed method can accurately identify different disturbance conditions and achieve rapid voltage regulation. Compared with traditional control solution methods, the proposed method reduces the average computation time by 87.2% and 89.4%, respectively, significantly improving control solution efficiency. Full article
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