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Journal articles on the topic 'Power system small-signal stability'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Shirvani, Mojtaba, Ahmad Memaripour, Meysam Eghtedari, and Hasan Fayazi. "Small signal stability analysis of power system following different outages." International Journal of Academic Research 6, no. 2 (2014): 268–72. http://dx.doi.org/10.7813/2075-4124.2014/6-2/a.38.

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2

Khederzadeh, Mojtaba, and Mahdi Ehsan. "Power-system small-signal stability and maximum loadability." Canadian Journal of Electrical and Computer Engineering 21, no. 2 (1996): 81–85. http://dx.doi.org/10.1109/cjece.1996.7102130.

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3

Verma, Mayank Singh, Poonam Khatarkar, and Kumar Prabhakar. "Power System Small Signal Stability Analysis Using Facts Pod." International Journal of Computer Trends & Technology 67, no. 07 (2019): 57–61. http://dx.doi.org/10.14445/22312803/ijctt-v67i7p109.

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4

Choo, Y. C., K. M. Muttaqi, and M. Negnevitsky. "Evaluation of small signal stability of a power system." Australian Journal of Electrical and Electronics Engineering 4, no. 3 (2008): 227–37. http://dx.doi.org/10.1080/1448837x.2008.11464189.

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5

Yousin Tang and A. P. S. Meliopoulos. "Power system small signal stability analysis with FACTS elements." IEEE Transactions on Power Delivery 12, no. 3 (1997): 1352–61. http://dx.doi.org/10.1109/61.637014.

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6

Jia, Hongjie, Xiaodan Yu, Yixin Yu, and Chengshan Wang. "Power system small signal stability region with time delay." International Journal of Electrical Power & Energy Systems 30, no. 1 (2008): 16–22. http://dx.doi.org/10.1016/j.ijepes.2007.06.020.

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7

Sumit, Kumar. "Small Signal Stability Analysis of Multi-Area Power System." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 4 (2020): 1850–55. https://doi.org/10.35940/ijeat.C5230.049420.

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This paper focuses on methodologies for calculation and examination of oscillatory security of interconnected power system network against constant disturbances. For instance, voltage soundness, transient dependability and oscillatory behaviors are also the measure of power system stability, which must be evaluated. For that proposed strategies based on proportional integral and fuzzy logic controlling techniques are implemented. The integral controller-based technique provides the zero steady-state error and with adequate damping, time to reach steady state can be reduced, on the cost of osci

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8

Xu, Yan, Fushuan Wen, Hongwei Zhao, Minghui Chen, Zeng Yang, and Huiyu Shang. "Stochastic Small Signal Stability of a Power System with Uncertainties." Energies 11, no. 11 (2018): 2980. http://dx.doi.org/10.3390/en11112980.

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The ever-increasing penetration of wind power generation and plug-in electric vehicles introduces stochastic continuous disturbances to the power system. This paper proposes an analytical approach to analyze the influence of stochastic continuous disturbances on power system small signal stability. The noise-to-state stability (NSS) and NSS Lyapunov function (NSS-LF) are adopted for stability analysis with respect to the magnitude of uncertainties in a power system. The power system is modeled as a set of stochastic differential equations (SDEs). The supremum of the norm of the covariance is e

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9

Lim Zhu Aun, Shalom, Marayati Bte Marsadek, and Agileswari K. Ramasamy. "Small Signal Stability Analysis of Grid Connected Photovoltaic." Indonesian Journal of Electrical Engineering and Computer Science 6, no. 3 (2017): 553. http://dx.doi.org/10.11591/ijeecs.v6.i3.pp553-562.

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This paper primarily focuses on the small signal stability analysis of a power system integrated with solar photovoltaics (PV). The test system used in this study is the IEEE 39-bus. The small signal stability of the test system are investigated in terms of eigenvalue analysis, damped frequency, damping ratio and participation factor. In this study, various conditions are analyzed which include the increase in solar PV penetration into the system and load variation. The results obtained indicate that there is no significant impact of solar PV penetration on the small signal stability of large

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10

He, Tingyi, Shengnan Li, Shuijun Wu, and Ke Li. "Small-Signal Stability Analysis for Power System Frequency Regulation with Renewable Energy Participation." Mathematical Problems in Engineering 2021 (April 5, 2021): 1–13. http://dx.doi.org/10.1155/2021/5556062.

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With the improvement of the permeability of wind and photovoltaic (PV) energy, it has become one of the key problems to maintain the small-signal stability of the power system. Therefore, this paper analyzes the small-signal stability in a power system integrated with wind and solar energy. First, a mathematical model for small-signal stability analysis of power systems including the wind farm and PV station is established. And the characteristic roots of the New England power system integrated with wind energy and PV energy are obtained to study their small-signal stability. In addition, the

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11

KASSAHUN, Habitamu. "Power System Small Signal Stability Enhancement Using Fuzzy Based STATCOM." PRZEGLĄD ELEKTROTECHNICZNY 1, no. 8 (2023): 29–34. http://dx.doi.org/10.15199/48.2023.08.05.

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12

Yao, Mengqi, Sandip Roy, and Johanna L. Mathieu. "Using demand response to improve power system small-signal stability." Sustainable Energy, Grids and Networks 36 (December 2023): 101214. http://dx.doi.org/10.1016/j.segan.2023.101214.

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13

Dey, Prasenjit, Aniruddha Bhattacharya, and Priyanath Das. "Tuning of power system stabilizer for small signal stability improvement of interconnected power system." Applied Computing and Informatics 16, no. 1/2 (2017): 3–28. http://dx.doi.org/10.1016/j.aci.2017.12.004.

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This paper reports a new technique for achieving optimized design for power system stabilizers. In any large scale interconnected systems, disturbances of small magnitudes are very common and low frequency oscillations pose a major problem. Hence small signal stability analysis is very important for analyzing system stability and performance. Power System Stabilizers (PSS) are used in these large interconnected systems for damping out low-frequency oscillations by providing auxiliary control signals to the generator excitation input. In this paper, collective decision optimization (CDO) algori

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14

Ishag, Ahmed Mohammed, Elnazeer Ai Hamid Abdalla, Mohammed Elnour A/Alla, and Tamador Elhansaa J. Mohamed. "Small Signal Stability Enhancement Of Power System Using Adaptive Control Based Power System Stabilizer." IOSR Journal of Electrical and Electronics Engineering 19, no. 6 (2024): 47–52. https://doi.org/10.9790/0853-1906014752.

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Power systems are subjected to low frequency disturbances that might cause loss of synchronism and an eventual breakdown of entire system. The oscillations, which are typically in the frequency range of 0.2 to 3.0 Hz, might be excited by the disturbances in the system or, in some cases, might even build up spontaneously. These oscillations limit the power transmission capability of a network and, sometimes, even cause a loss of synchronism and an eventual breakdown of the entire system. For this purpose, Power system stabilizers (PSS) are used to generate supplementary control signals for the

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15

Xu, Zhen Yu, Zhen Qiao, Qian He, Xu Zhang, and Jing Qi Su. "Impact of Large-Scale Integrated Wind Farms on the Small Signal Stability of Power System." Advanced Materials Research 805-806 (September 2013): 393–96. http://dx.doi.org/10.4028/www.scientific.net/amr.805-806.393.

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With the penetration of wind energy is becoming higher and higher in power grid, it is very important to investigate the impact of wind generations on small signal stability. In this paper, a complete small signal model of wind turbine with direct-drive permanent magnet generator is built to study the impact of large-scale wind farms on the small signal stability of power system. By means of simulation and eigenvalue analysis, an actual power system is investigated, and the damping characteristic of power grid under different wind power penetration is discussed.

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16

Andriyanov, Alexey I., and Maksim V. Baranchikov. "On the study of stability of an aggregate DC-to-DC power supply system with a cascade connection of two electric power converter modules." Proceedings of the Russian higher school Academy of sciences, no. 1 (March 27, 2025): 14–34. https://doi.org/10.17212/1727-2769-2025-1-14-34.

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The article is devoted to the issues of studying the stability of an aggregated power supply system consisting of two cascaded buck DC/DC converters, each of which has an individual control system based on pulse-width modulation of the first kind and can operate autonomously. One of the important problems solved in the design of such systems is the problem of ensuring their stability. When designing them today, small-signal modeling is mainly used, which is associated with the loss of information about the nonlinearities of the system. The aim of the work is to study the stability of the main

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17

Yun, Qinsheng, Xiangjun Wang, Shenghan Wang, Wei Zhuang, and Wanlu Zhu. "Stability Analysis in a Direct-Current Shipboard Power System with Parallel Permanent Magnet Synchronous Generators and Supercapacitor Integration." Journal of Marine Science and Engineering 12, no. 4 (2024): 578. http://dx.doi.org/10.3390/jmse12040578.

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This paper investigates the small-signal stability of a DC shipboard power system (SPS) with the integration of a supercapacitor. As an efficient energy storage solution, supercapacitors can not only provide rapid energy response to sudden power demand spikes, effectively mitigating load fluctuations, but also enhance the system’s resilience to disturbances. In the context of the parallel operation of two Permanent Magnet Synchronous Generators (PMSGs), the inclusion of supercapacitors may alter the system’s dynamic behaviors, thereby affecting its small-signal stability. This paper develops t

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18

Fang, Wanliang, and H. W. Ngan. "Enhancing small signal power system stability by coordinating unified power flow controller with power system stabilizer." Electric Power Systems Research 65, no. 2 (2003): 91–99. http://dx.doi.org/10.1016/s0378-7796(02)00218-3.

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19

Sabati, Asghar, Ramazan Bayindir, Sanjeevikumar Padmanaban, Eklas Hossain, and Mehmet Rida Tur. "Small Signal Stability with the Householder Method in Power Systems." Energies 12, no. 18 (2019): 3412. http://dx.doi.org/10.3390/en12183412.

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Voltage collapse in power systems is still considered the greatest threat, especially for the transmission system. This is directly related to the quality of the power, which is characterized by the loss of a stable operating point and the deterioration of voltage levels in the electrical center of the region exposed to voltage collapse. Numerous solution methods have been investigated for this undesirable degradation. This paper focuses on the steady state/dynamic stability subcategory and techniques that can be used to analyze and control the dynamic stability of a power system, especially f

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20

Dastas, Mark Brian, and Hwachang Song. "Renewable Energy Generation Assessment in Terms of Small-Signal Stability." Sustainability 11, no. 24 (2019): 7079. http://dx.doi.org/10.3390/su11247079.

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The popularity and role of renewable energy in the power grid are increasing nowadays as countries are shifting to cleaner forms of energy. This brings new challenges in maintaining a secure and stable power system, as renewable energy is known to be intermittent in nature and may introduce stability issues to the grid. In this paper, a screening framework of renewable energy generation scenarios is proposed to determine which power system conditions and scenarios will make the system unstable. The scenario screening framework is based on a sensitivity analysis of the system eigenvalues with r

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21

Li, Chao Chun, Ta Hsiu Tseng, and Pei Hwa Huang. "New Eigenvalue Method for Power System Stability Analysis." Advanced Materials Research 732-733 (August 2013): 888–91. http://dx.doi.org/10.4028/www.scientific.net/amr.732-733.888.

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The most widely adopted methodology for the analysis of power system small signal stability relies on the approach in the frequency domain, i.e. to linearize the system equation to obtain a linear model as well as the system matrix of which the eigenvalues can be calculated to determine the system stability. However, we often have high order of system matrix and thus it will be undesirable to calculate and analyze all the system eigenvalues. This paper is to explore the problem of small signal stability for power system and the main purpose is to find out the worst-damped mode of system eigenv

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22

Krismanto, Awan Uji, Nadarajah Mithulananthan, Rakibuzzaman Shah, Herlambang Setiadi, and Md Rabiul Islam. "Small-Signal Stability and Resonance Perspectives in Microgrid: A Review." Energies 16, no. 3 (2023): 1017. http://dx.doi.org/10.3390/en16031017.

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The microgrid (MG) system is a controlled and supervised power system consisting of renewable energy (RE)-based distributed generation (DG) units, loads, and energy storage. The MG can be operated autonomously or while connected to the grid. Higher intermittencies and uncertainties can be observed in MGs compared to the conventional power system, which is the possible source of small-signal stability in MG systems. It can be seen as disturbances around the stable operating point, which potentially lead to the small-signal instability problem within MGs. Small-signal instability issues also eme

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23

Prastio, Rizki Putra, Muhammad Aldo Setiawan, Rodik Wahyu Indrawan, and Herlambang Setiadi. "Small Signal Stability Analysis of Two Stage PV Generation." Journal of Advanced Technology and Multidiscipline 1, no. 2 (2022): 55–58. http://dx.doi.org/10.20473/jatm.v1i2.40339.

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Integration of photovoltaic (PV) based power plant have been increased significantly over the years. The integration of this devices is ranging on the small-scale capacity such as in distribution system and large-scale capacity such as in transmission system. Although, PV generation could provide sustainable and clean energy to the grid, they could also bring new challenge on the system stability. One of the stabilities of power system that can be affected by integration of this devices is small signal stability. Hence, it is important to capture the dynamic model of PV generation. This paper

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24

Yu, Jiawei, Ziqian Yang, Jurgen Kurths, and Meng Zhan. "Small-Signal Stability of Multi-Converter Infeed Power Grids with Symmetry." Symmetry 13, no. 2 (2021): 157. http://dx.doi.org/10.3390/sym13020157.

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Traditional power systems have been gradually shifting to power-electronic-based ones, with more power electronic devices (including converters) incorporated recently. Faced with much more complicated dynamics, it is a great challenge to uncover its physical mechanisms for system stability and/or instability (oscillation). In this paper, we first establish a nonlinear model of a multi-converter power system within the DC-link voltage timescale, from the first principle. Then, we obtain a linearized model with the associated characteristic matrix, whose eigenvalues determine the system stabilit

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25

Tomin, Nikita, Daniil Panasetsky, and Alexey Iskakov. "Stability of Power Grids: State-of-the-art and Future Trends." EPJ Web of Conferences 217 (2019): 01017. http://dx.doi.org/10.1051/epjconf/201921701017.

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The state of the art of transient stability and steady-state (small signal) stability in power grids are reviewed. Transient stability concepts are illustrated with simple examples; in particular, we consider two machine learning-based methods for computing region of attraction: ROA produced by Neural Network Lyapunov Function; estimation of the ROA of IEEE 39-bus system using Gaussian process and Converse Lyapunov function. We discuss steady state stability in power systems, and using Prony’s modal analysis for evaluating small signal stability for the 7 Bus Test system and real French power

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26

Yan, Heming, Junjie Lin, Chang Lin, and Yang Wang. "Small-signal Stability Analysis of Paralleled Converter System under Power Quality Control Strategy for Microgrid." Journal of Physics: Conference Series 2205, no. 1 (2022): 012011. http://dx.doi.org/10.1088/1742-6596/2205/1/012011.

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Abstract In order to enhance the output voltage stability of converter system under non-linear and unbalanced load conditions, the power quality control strategy based on fault-tolerant control architecture is adopted. By analyzing the principle of power quality control strategy, a mathematical model of parallel converter system is established. The mathematical model of the paralleled converter system is linearized at the steady-state operating point, and the corresponding small-signal mathematical model is established. The small-signal stability of the paralleled converter system under the po

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27

Chennakesavan, C. "Multi-Machine Small Signal Stability Analysis For Large Scale Power System." Indian Journal of Science and Technology 7, is6 (2014): 40–47. http://dx.doi.org/10.17485/ijst/2014/v7sp6.5.

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28

Gopi, Pasala. "Small Signal and First-Swing Stability Enhancement in InterArea Power System." IOSR Journal of Electrical and Electronics Engineering 2, no. 2 (2012): 12–18. http://dx.doi.org/10.9790/1676-0221218.

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29

Sun, Bin, Zhengyou He, Yong Jia, and Kai Liao. "Small-Signal Stability Analysis of Wind Power System Based on DFIG." Energy and Power Engineering 05, no. 04 (2013): 418–22. http://dx.doi.org/10.4236/epe.2013.54b081.

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30

Rueda, J. L., and I. Erlich. "Probabilistic framework for risk analysis of power system small-signal stability." Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 226, no. 1 (2011): 118–33. http://dx.doi.org/10.1177/1748006x11424534.

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31

Arroyo, J., R. Betancourt, A. R. Messina, and E. Barocio. "Development of bilinear power system representations for small signal stability analysis." Electric Power Systems Research 77, no. 10 (2007): 1239–48. http://dx.doi.org/10.1016/j.epsr.2006.09.014.

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32

Du, Wenjuan, Qiang Fu, and H. F. Wang. "Power System Small-Signal Angular Stability Affected by Virtual Synchronous Generators." IEEE Transactions on Power Systems 34, no. 4 (2019): 3209–19. http://dx.doi.org/10.1109/tpwrs.2019.2896149.

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33

Ayasun, Saffet. "Computation of time delay margin for power system small-signal stability." European Transactions on Electrical Power 19, no. 7 (2009): 949–68. http://dx.doi.org/10.1002/etep.272.

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34

Thakur, Suravi, and Nilanjan Senroy. "Impact of Uncertainty Quantification on Small Signal Stability of Power System." Renewable Energy and Power Quality Journal 21, no. 1 (2023): 25–29. http://dx.doi.org/10.24084/repqj21.210.

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The statistical uncertainty quantification of the injected uncertainties into a power system has been done to study the response of the power system to such injected randomness. The dominant electromechanical modes have been analysed and the frequency spectrum of the trajectories obtained for various state variables has been used to measure the impact of injected randomness on the system. The idea of Statistical Distance between the point of input perturbations and output measurement data has been explored. The simulation results indicate that there is a direct relationship between the input u

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35

Si, Yuan, Zezhong Wang, and Lianguang Liu. "Sensitivity analysis of power system small signal stability to geomagnetic disturbances." International Journal of Electrical Power & Energy Systems 148 (June 2023): 108970. http://dx.doi.org/10.1016/j.ijepes.2023.108970.

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36

Liu, Wenlong, Bo Zhang, Zimeng Lu, Yuming Liao, and Heng Nian. "Probabilistic Small-Signal Modeling and Stability Analysis of the DC Distribution System." Energies 18, no. 5 (2025): 1196. https://doi.org/10.3390/en18051196.

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With the advent of large-scale electronic transportation, the construction of electric vehicle charging stations (EVCSs) has increased. The stochastic characteristic of the charging power of EVCSs leads to a risk of destabilization of the DC distribution network when there is a high degree of power electronification. Current deterministic stability analysis methods are too complicated to allow for brief descriptions of the effect of probabilistic characteristics of EVCSs on stability. This paper develops a probabilistic small-signal stability analysis method. Firstly, the probabilistic informa

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37

Li, Chao Chun, and Pei Hwa Huang. "Fast Analysis of Power System Stability by Artificial Neural Network." Advanced Materials Research 732-733 (August 2013): 848–51. http://dx.doi.org/10.4028/www.scientific.net/amr.732-733.848.

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Power system small signal stability concerns the ability of the power system to maintain stability subject to small disturbances. The analysis of small signal stability often has to deal with high-order system matrix due to the large number of generating units so that it is not easy to calculate and analyze the original system matrix and the whole set of eigenvalues. In this paper a new approach is proposed to take advantage of the specific feature of the parallel structure of artificial neural network for calculating the most critical eigenvalue or all eigenvalues of the unstable oscillation

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38

Radwan, Amr. "Small-Signal Stability Analysis of Multi-Terminal DC Grids." Electronics 8, no. 2 (2019): 130. http://dx.doi.org/10.3390/electronics8020130.

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This paper presents a detailed small-signal analysis and an improved dc power sharing scheme for a six terminal dc grid. The multi-terminal DC (MTDC) system is composed of (1) two voltage-source converters (VSCs) entities operating as rectification stations; (2) two VSCs operating as inverting stations; (3) two dc/dc conversion stations; and (4) an interconnected dc networking infrastructure. The small-signal state-space sub-models of the individual entities are developed and integrated to formulate the state-space model of the entire system. Using the modal analysis, it is shown that the most

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39

Bian, Xiao Yan, Li Ning Yang, Xin Xin Huang, and Yang Fu. "Effect of Wind Farm on Transient and Small-Signal Stability Based on BPA." Advanced Materials Research 860-863 (December 2013): 309–13. http://dx.doi.org/10.4028/www.scientific.net/amr.860-863.309.

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Large scale wind farm output variation always deteriorates the system stability. To study this problem, this paper builds the model of power system with the integration of large-scale wind farm based on BPA. The simulation results show that large oscillations of voltage and rotor angle of system will happen, when three-phase short circuit fault occurs on the main line for transmitting wind power. With wind farm output decreasing, the transient stability and small-signal stability of power system will be improved.

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Lu, Shengyang, Yu Zhu, Lihu Dong, et al. "Small-Signal Stability Research of Grid-Connected Virtual Synchronous Generators." Energies 15, no. 19 (2022): 7158. http://dx.doi.org/10.3390/en15197158.

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The virtual synchronous generator (VSG) technique is used to simulate the external characteristics of a synchronous generator (SG) to provide certain damping and inertia to power systems. However, it may easily cause low-frequency oscillation of the power system. We studied the small-signal stability of a grid-connected virtual synchronous generator. Firstly, the small-signal models of single-VSG and multi-VSG grid-connected systems were established. Subsequently, the system eigenvalues were obtained by solving the state matrix, and the system oscillation modes were analyzed. The eigenvalue an

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41

Liu, Mosi, Zhiyuan Sun, Kun Zheng, and Mingpo Li. "Optimal Allocation Strategy of Virtual Inertia and Damping for Improving the Small-signal Stability." Journal of Physics: Conference Series 2625, no. 1 (2023): 012036. http://dx.doi.org/10.1088/1742-6596/2625/1/012036.

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Abstract The application of the virtual synchronous generator (VSG) control technology to engage the inertia response of renewable energy generation systems is an effective means of coping with the problem of weak inertia in power systems. To deal with the problem of small-signal stability in the weak inertia power system, this paper studies how the strength of virtual inertia and damping affect the small-signal stability, and proposes an optimal allocation strategy of virtual inertia and damping for improving the small-signal stability. The optimal allocation model of virtual inertia is const

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42

Pooja, Gupta, and Jarariya Sanjeev. "Small Signal Stability of Wind Power Generation With Grid." Journal of Recent Trends in Electrical Power System 2, no. 3 (2019): 1–5. https://doi.org/10.5281/zenodo.3545611.

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With the expansion of industries and ever increasing population in all over the world, the need of power has become very important for everyone and because of this energy consumption has increased over past decades. The use of conventional resources in an unease manner warned us and forced us to use non-conventional resources. Among non-conventional resources, wind is proving itself being better among other sources in electricity generation .Though the wind energy is young in generation area, it has benefitted significantly from the steady advances technology made in  the components deali

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43

Pandey, Ram Prasad. "Study of small signal stability using PSAT including DFIG based wind penetration." Journal of Innovations in Engineering Education 2, no. 1 (2019): 137–45. http://dx.doi.org/10.3126/jiee.v2i1.36667.

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In early days of power engineering, the power system consisting of synchronous generators faced different low frequency oscillation problems and they were solved by different researchers by using suitably AVR and PSS. Later, the electricity industry is turning increasingly to renewable sources of energy to generate electricity. Wind is the fastest growing and the most widely utilized emerging renewable energy technology for power generation at present. With the increasing penetration of wind power in the power system, the impact in power system performance should be fully investigated, particu

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44

He, Ping, Mingming Zheng, Haoran Jin, Zhijie Gong, and Jie Dong. "Introducing MRAC-PSS-VI to Increase Small-Signal Stability of the Power System after Wind Power Integration." International Transactions on Electrical Energy Systems 2022 (January 31, 2022): 1–20. http://dx.doi.org/10.1155/2022/3525601.

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With the gradual increase of wind power penetration in the power system, the impact of wind farm on system stability is becoming more significant. This study designs the power system stabilizer (PSS) based on the model reference adaptive control (MRAC) method and virtual impedance (VI) control strategy. Then, the active power difference of the doubly fed induction generator (DFIG) is selected as input signal of MRAC-PSS-VI. The small-signal stability of the power system with the DFIG is enhanced by installing MRAC-PSS-VI on the rotor side control (RSC) control link. The controller model is bui

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45

Yuan, Bo, Ming Zhou, Gengyin Li, and Xiao-Ping Zhang. "Stochastic Small-Signal Stability of Power Systems With Wind Power Generation." IEEE Transactions on Power Systems 30, no. 4 (2015): 1680–89. http://dx.doi.org/10.1109/tpwrs.2014.2353014.

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46

Yu, Lin Lin, Yu Fei Rao, and Shi Qian Wang. "Small Signal Stability Analysis Based on Multi-Band Parallel Technology in Henan Power Grid." Applied Mechanics and Materials 441 (December 2013): 258–62. http://dx.doi.org/10.4028/www.scientific.net/amm.441.258.

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With the rapid growth in the size of Henan grid, in the context of UHV networking, Henan power grid operation is facing a more complex mechanism and operating characteristics. Risks affecting the security and stability will be more subtle. There are more and more problems in frequency oscillation. The power system has much more generators and dimension after interconnection. Small signal stability analyzing eigenvalue complex and longer, which greatly reduces the work efficiency. This paper which based on Henan power system stability diagnostic platform developed technology based on multi-band

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Golzari-Kolur, Hassan, Seyed Mohammad-Taghi Bathaee, and Turaj Amraee. "A Sequential Generation Redispatch Algorithm to Ensure Power System Small Signal Stability under Low-Frequency Oscillations." International Transactions on Electrical Energy Systems 2023 (January 19, 2023): 1–15. http://dx.doi.org/10.1155/2023/2990504.

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Generation rescheduling is a major action against abnormal system conditions such as small signal instability. The operating point of the power system impacts the small signal stability; therefore, this article proposes a novel sequential generation rescheduling model as a preventive control against low-frequency fluctuations. An optimal power flow (OPF) problem is utilized to determine the base operating point. Then, in the process of improving the small signal stability, the modal analysis specifies the system stability status in each step, and the proposed second-order convex redispatch mod

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Yan, Lei, and Kewen Wang. "A summary of impacts of wind power integration on power system small-signal stability." IOP Conference Series: Earth and Environmental Science 64 (May 2017): 012085. http://dx.doi.org/10.1088/1755-1315/64/1/012085.

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Rahman, Atta, Irtaza Syed, and Mukhtar Ullah. "Small-Signal Stability Criteria in AC Distribution Systems—A Review." Electronics 8, no. 2 (2019): 216. http://dx.doi.org/10.3390/electronics8020216.

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AC distribution grid is prone to instability due to negative impedance and constant power nature of the load if it is dominant with power electronics-based components. There are various time-domain and frequency-domain modelling methods which use various methodologies and analytical tools. Also, there are many small-signal stability analysis (SSSA) methods and their different variants for different specific conditions and situation. This paper presents a review of SSSA methods in AC distribution grid using impedance-based models in a synchronous reference frame (SRF). By simplifying and conver

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Guo, Chunyi, Anran Zheng, Zihan Yin, and Chengyong Zhao. "Small-signal stability of hybrid multi-terminal HVDC system." International Journal of Electrical Power & Energy Systems 109 (July 2019): 434–43. http://dx.doi.org/10.1016/j.ijepes.2019.02.031.

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