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Applied Sciences
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Monitoring, Diagnosis, Analysis, and Control of Stability in Power Systems
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Monitoring, Diagnosis, Analysis, and Control of Stability in Power Systems

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".

Deadline for manuscript submissions: 31 December 2025 | Viewed by 2748

Special Issue Editors

Dr. Ningning Ma

E-Mail Website
Guest Editor
Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
Interests: power system stability; power system dynamics; wideband oscillation monitoring and analysis; carrying capacity analysis of distribution network
Dr. Lei Chen

E-Mail Website
Guest Editor
Institute of Energy, Peking University, Beijing 100871, China
Interests: dynamic monitoring of microgrids; data-driven analysis and optimization control of microgrids; distributed power development

Special Issue Information

Dear Colleagues,

The large-scale integration of power electronic equipment and renewable energies has introduced more flexible adjustment methods for the operation and control of power systems. However, the unique structural characteristics of renewable energy units and the control strategies of power electronic equipment have reintroduced stability issues in power systems, including those related to angle, voltage, frequency and oscillation. Notably, the triggering factors and underlying nature of these stability challenges differ from those previously encountered. Additionally, the dynamic interaction of electrical equipment across multiple time scales adds complexity to these stability issues. Consequently, traditional small signal analysis and numerical simulation methods are insufficient to effectively address these emerging challenges in power system stability.

This Special Issue seeks recent research contributions that address the complexities of power system stability in the context of the high integration of power electronics and renewable energies, with a specific focus on both transmission and distribution networks. We invite submissions on a broad range of topics, including, but not limited to, the following:

  • Advanced analysis methods for power system stability;
  • Innovative monitoring technologies for detecting stability issues;
  • Cutting-edge control strategies to enhance stability;
  • Comprehensive research on the wideband oscillation;
  • Emerging research trends in power system stability.

The goal of this Special Issue is to offer readers a deeper understanding of power system stability issues and foster advancements in monitoring, diagnosis, analysis and control methodologies. We welcome high-quality research papers that contribute to the field and promote further innovation.

Dr. Ningning Ma
Dr. Lei Chen
Guest Editors

Manuscript Submission Information

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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. Applied Sciences 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 2400 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

  • power system stability
  • frequency stability
  • transient stability
  • voltage stability
  • wideband oscillation
  • stability monitoring
  • stability diagnosis
  • stability analysis
  • stability control

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Published Papers (5 papers)

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Research

14 pages, 2403 KiB  
Article
Leakage Detection Method of Coal Mine Power Supply System Based on 3AC
by Shuai Pang, Yanwen Wang, Jiyuan Cao and Tong Ma
Appl. Sci. 2025, 15(7), 3798; https://doi.org/10.3390/app15073798 - 30 Mar 2025
Viewed by 179
Abstract
With the continuous attention to the safety of coal mine power systems, the traditional mine leakage protection method has its limitations; therefore, a leakage detection method based on 3 asymmetric capacitance (3AC) is proposed. This method is able to calculate the value of [...] Read more.
With the continuous attention to the safety of coal mine power systems, the traditional mine leakage protection method has its limitations; therefore, a leakage detection method based on 3 asymmetric capacitance (3AC) is proposed. This method is able to calculate the value of the insulation resistance in real time, enabling continuous monitoring of the insulation resistance and automatically disconnecting the fault line when there is an abnormal insulation resistance signal. In this paper, a mathematical model of the method is constructed, and its effectiveness and feasibility are verified by theoretical analysis and simulation. Full article
(This article belongs to the Special Issue Monitoring, Diagnosis, Analysis, and Control of Stability in Power Systems)
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25 pages, 6970 KiB  
Article
A Single-End Location Method for Small Current Grounding System Based on the Minimum Comprehensive Entropy Kurtosis Ratio and Morphological Gradient
by Jiyuan Cao, Yanwen Wang, Lingjie Wu, Yongmei Zhao and Le Wang
Appl. Sci. 2025, 15(7), 3539; https://doi.org/10.3390/app15073539 - 24 Mar 2025
Viewed by 181
Abstract
Fault location technology is crucial for enhancing the efficiency of fault maintenance and ensuring the safety of the power supply in small current grounding systems. To address the challenge that traditional single-end positioning methods experience when identifying the reflected wave head and that [...] Read more.
Fault location technology is crucial for enhancing the efficiency of fault maintenance and ensuring the safety of the power supply in small current grounding systems. To address the challenge that traditional single-end positioning methods experience when identifying the reflected wave head and that the adaptability of wave head calibration methods is typically limited, a single-end location method of modulus wave velocity differences based on marine predator algorithm optimized multivariate variational mode decomposition (MVMD) and morphological gradient is proposed. Firstly, the minimum comprehensive entropy kurtosis ratio is used as the fitness function, and the marine predator algorithm is used to realize the automatic optimization of the mode number and penalty factor of the multivariate variational mode decomposition. Therefore, with the goal of decomposing the traveling wave characteristic signals with the most significant traveling wave characteristic information and the lowest noise component, the line-mode traveling wave and the zero-mode traveling wave are accurately decomposed. Secondly, the intrinsic mode function component with the smallest entropy kurtosis ratio is selected as the line-mode traveling wave characteristic signal and the zero-mode traveling wave characteristic signal, respectively, and the arrival time of the wave head is accurately calibrated by combining the morphological gradient value. Finally, the fault distance is calculated by the modulus wave velocity difference location formula and compared with the variational mode decomposition-Teager energy operator (VMD-TEO) method and the empirical mode decomposition _first-order difference method. The results show that the proposed method has the highest accuracy of positioning results, and the algorithm time is significantly reduced compared with the VMD-TEO method, and it has strong adaptability to different line types of faults, different fault initial conditions, and noise interference. Full article
(This article belongs to the Special Issue Monitoring, Diagnosis, Analysis, and Control of Stability in Power Systems)
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14 pages, 3990 KiB  
Article
Controlled Fault Current Interruption Scheme for Improved Fault Prediction Accuracy
by Xu Yang, Qi Long, Hao Li, Dachao Huang, Shupeng Xue, Jiajie Huang, Hongzhang Liang and Xiongying Duan
Appl. Sci. 2025, 15(6), 3106; https://doi.org/10.3390/app15063106 - 13 Mar 2025
Viewed by 348
Abstract
To enhance the accuracy and efficiency of controlled fault current interruption (CFI) in short-circuit current processing within power systems, a half-cycle elimination prediction algorithm and a double-sampling CFI sequence method are proposed in this study. By analyzing the non-periodic and periodic components of [...] Read more.
To enhance the accuracy and efficiency of controlled fault current interruption (CFI) in short-circuit current processing within power systems, a half-cycle elimination prediction algorithm and a double-sampling CFI sequence method are proposed in this study. By analyzing the non-periodic and periodic components of short-circuit currents, the half-cycle elimination method and fast Fourier transform are utilized to compute these two components, respectively. The double-sampling CFI sequence approach is designed to fully utilize the response and waiting times of relay protection. Following the first sampling to estimate the target zero-crossing point, the remaining response and waiting times are allocated for a second sampling and recalculation to enhance the precision of zero-crossing prediction. MATLAB R2023a is employed to conduct multi-scenario simulations, and the algorithm’s performance is evaluated using actual recorded waveform data. The results demonstrate that the proposed algorithm accurately predicts the target zero-crossing point after a short circuit, with a computational error of less than 0.2 ms. Furthermore, the double-sampling sequence method is shown to improve the accuracy of open-circuit zero-crossing point calculations by an order of magnitude. This work provides a novel technical approach for the fast and precise handling of short-circuit faults in power systems. Full article
(This article belongs to the Special Issue Monitoring, Diagnosis, Analysis, and Control of Stability in Power Systems)
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29 pages, 15339 KiB  
Article
A Noise Reduction Algorithm for White Noise and Periodic Narrowband Interference Noise in Partial Discharge Signals
by Jiyuan Cao, Yanwen Wang, Weixiong Zhu and Yihe Zhang
Appl. Sci. 2025, 15(4), 1760; https://doi.org/10.3390/app15041760 - 9 Feb 2025
Viewed by 869
Abstract
Partial discharge (PD) detection plays an important role in online condition monitoring of electrical equipment and power cables. However, the noise of PD measurement will significantly reduce the performance of the detection algorithm. In this paper, we focus on the study of a [...] Read more.
Partial discharge (PD) detection plays an important role in online condition monitoring of electrical equipment and power cables. However, the noise of PD measurement will significantly reduce the performance of the detection algorithm. In this paper, we focus on the study of a PD noise reduction algorithm based on improved singular value decomposition (SVD) and multivariate variational mode decomposition (MVMD) for white Gaussian noise (WGN) and periodic narrowband interference signal noise. The specific noise reduction algorithm is divided into three noise reduction processes: The first noise reduction completes the suppression of narrowband interference in the noisy PD signal by the SVD algorithm with the guidance signal. The guidance signal is composed of a sinusoidal signal of the accurately estimated narrowband interference frequency component, and the amplitude is twice the maximum amplitude of the noisy PD signal. The second noise reduction decomposes the noisy PD signal after filtering the narrowband interference signal into k optimal intrinsic mode function by the MVMD after parameter optimization. By calculating the kurtosis value of each intrinsic mode function, it is determined whether it is the PD dominant component or the noise dominant component, and the noise dominant component is subjected to 3σ filtering to obtain the reconstructed PD signal. The third noise reduction uses a new wavelet threshold algorithm to denoise the reconstructed PD signal to obtain the denoised PD signal. The overall noise reduction algorithm proposed in this paper is compared with some existing methods. The results show that this method has a good effect on reducing the noise of PD signals measured in simulation and field. Full article
(This article belongs to the Special Issue Monitoring, Diagnosis, Analysis, and Control of Stability in Power Systems)
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15 pages, 5517 KiB  
Article
Optimization Control of Sub-Synchronous Oscillations in Doubly Fed Generators with Wind Turbines Using the Genetic Algorithm
by Xu Zhang, Yuhan Xie, Qiman Xie, Hui Huang, Lintao Gao, Jun Ye and Shenbing Ma
Appl. Sci. 2025, 15(3), 1353; https://doi.org/10.3390/app15031353 - 28 Jan 2025
Viewed by 653
Abstract
The sub-synchronous oscillation accident of large-scale doubly fed wind turbines connected to a grid through series compensation has caused a serious impact on the power system. By optimizing the parameters of the doubly fed wind turbines control system, the system impedance can be [...] Read more.
The sub-synchronous oscillation accident of large-scale doubly fed wind turbines connected to a grid through series compensation has caused a serious impact on the power system. By optimizing the parameters of the doubly fed wind turbines control system, the system impedance can be effectively improved to solve the problem of sub-synchronous oscillation. However, owing to the complexity of a grid-connected system of doubly fed generators connected to wind turbines and the influence of the time-varying oscillation characteristics of the system, it is often difficult to achieve a successful suppression. To solve this problem, this paper proposes an optimized additional damping method for the rotor- and grid-side controllers, which can achieve efficient suppression of the sub-synchronous oscillation. The parameters of the proposed additional damping method are optimized for all variable operation conditions using a genetic algorithm under the established frequency–domain impedance model. The detailed time–domain simulation model was constructed with the RTLAB platform to verify the proposed method. The experimental results show that the optimized control strategy can effectively and quickly suppress the sub-synchronous oscillation under different operating conditions, and the amplitude suppression rate reached 85.99%, which effectively improved the grid-connected stability of the wind turbines. Full article
(This article belongs to the Special Issue Monitoring, Diagnosis, Analysis, and Control of Stability in Power Systems)
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