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Journal articles on the topic 'Small-Signal Stability Analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 February 2022

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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 (March 30, 2014): 268–72. http://dx.doi.org/10.7813/2075-4124.2014/6-2/a.38.

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2

Matoba, Seiichi, Masanori Hagihira, and Masahiro Sekita. "A Small Signal Stability Analysis Using Parallel Algorithm." IEEJ Transactions on Power and Energy 118, no. 1 (1998): 63–70. http://dx.doi.org/10.1541/ieejpes1990.118.1_63.

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3

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 (June 1, 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 scaled power system.

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4

Makarov, Yu V., Zhao Yang Dong, and D. J. Hill. "A general method for small signal stability analysis." IEEE Transactions on Power Systems 13, no. 3 (1998): 979–85. http://dx.doi.org/10.1109/59.709086.

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5

Radwan, Amr. "Small-Signal Stability Analysis of Multi-Terminal DC Grids." Electronics 8, no. 2 (January 26, 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 critical modes are associated with the power sharing droop coefficients of the rectification stations, which are constrained by the steady-state operational requirements. Therefore, a second degree-of-freedom compensation scheme is proposed to improve the dynamic response of the MTDC system without influencing the steady-state operation. Time domain simulation results are presented to validate the analysis and show the effectiveness of the proposed techniques.

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6

Dong, Zhao Yang, Yuri V. Makarov, and David J. Hill. "Analysis of small signal stability margins using genetic optimization." Electric Power Systems Research 46, no. 3 (September 1998): 195–204. http://dx.doi.org/10.1016/s0378-7796(98)00009-1.

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7

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 (July 25, 2019): 57–61. http://dx.doi.org/10.14445/22312803/ijctt-v67i7p109.

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8

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

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9

Mahdavian, Aram, Ali Asghar Ghadimi, and Mohammad Bayat. "Microgrid small‐signal stability analysis considering dynamic load model." IET Renewable Power Generation 15, no. 13 (May 19, 2021): 2799–813. http://dx.doi.org/10.1049/rpg2.12203.

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10

Li, Jun, Jie Chen, Yaru Xue, Ruichang Qiu, and Zhigang Liu. "Stability Analysis Method of Parallel Inverter." Mathematical Problems in Engineering 2017 (2017): 1–14. http://dx.doi.org/10.1155/2017/6062798.

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In order to further provide theoretical support for the stability of an auxiliary inverter parallel system, a new model which covers most of control parameters needs to be established. However, the ability of the small-signal model established by the traditional method is extremely limited, so this paper proposes a new small-signal modeling method for the parallel system. The new small-signal model not only can analyze the influence of the droop parameters on the system performance, but also can analyze the influence of the output impedance of the inverter, the unbalanced and nonlinear loads, and the power calculation method and cut-off frequency of the low-pass filter on the system performance and stability. Based on this method, this paper carries out a comprehensive analysis on the performance of a parallel inverter system. And the correctness of the modeling method and analysis process of the system performance and stability are verified by the consistency of the simulation and experimental results.

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11

Garcés-Ruíz, Alejandro. "Small-signal stability analysis of DC microgrids considering electric vehicles." Revista Facultad de Ingeniería Universidad de Antioquia, no. 89 (2018): 52–58. http://dx.doi.org/10.17533/udea.redin.n89a07.

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12

Liu, Shichao, Peter Xiaoping Liu, and Xiaoyu Wang. "Stochastic Small-Signal Stability Analysis of Grid-Connected Photovoltaic Systems." IEEE Transactions on Industrial Electronics 63, no. 2 (February 2016): 1027–38. http://dx.doi.org/10.1109/tie.2015.2481359.

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13

Alsseid, Aleisawee M., Abdulrahman A. A. Emhemed, and Mosa A. Abdesalam. "Small Signal Stability Analysis of Detailed DC Grids Network Model." World Journal of Computer Application and Technology 6, no. 2 (May 2018): 23–31. http://dx.doi.org/10.13189/wjcat.2018.060201.

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14

Pisa, Stefano, and Marcello Zolesi. "A method for stability analysis of small-signal microwave amplifiers." International Journal of RF and Microwave Computer-Aided Engineering 8, no. 4 (July 1998): 293–302. http://dx.doi.org/10.1002/(sici)1099-047x(199807)8:4<293::aid-mmce3>3.0.co;2-h.

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15

Wang, Liang, Jingyu Peng, Yuyang You, and Hongwei Ma. "Iterative approach to impedance model for small‐signal stability analysis." IET Renewable Power Generation 13, no. 1 (October 3, 2018): 78–85. http://dx.doi.org/10.1049/iet-rpg.2018.5265.

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16

Chakravorty, Diptargha, Jinrui Guo, Balarko Chaudhuri, and Shu Yuen Ron Hui. "Small Signal Stability Analysis of Distribution Networks With Electric Springs." IEEE Transactions on Smart Grid 10, no. 2 (March 2019): 1543–52. http://dx.doi.org/10.1109/tsg.2017.2772224.

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17

Han, Yi, Zhongmin Qian, Danlu Shao, Qiujia Lin, Shuangrui Yin, Minyu Chen, and Qian Ai. "Small Signal Stability Analysis of Microgrid with Multiple Parallel Inverters." IOP Conference Series: Earth and Environmental Science 687, no. 1 (March 1, 2021): 012112. http://dx.doi.org/10.1088/1755-1315/687/1/012112.

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18

Kanyingi, P., Keyou Wang, Guojie Li, and Wei Wu. "A Robust Pair Copula-Point Estimation Method for Probabilistic Small Signal Stability Analysis with Large Scale Integration of Wind Power." Journal of Clean Energy Technologies 5, no. 2 (2017): 85–94. http://dx.doi.org/10.18178/jocet.2017.5.2.350.

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19

Li, Zhiyi, and Mohammad Shahidehpour. "Small-Signal Modeling and Stability Analysis of Hybrid AC/DC Microgrids." IEEE Transactions on Smart Grid 10, no. 2 (March 2019): 2080–95. http://dx.doi.org/10.1109/tsg.2017.2788042.

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20

Chennakesavan, C. "Multi-Machine Small Signal Stability Analysis For Large Scale Power System." Indian Journal of Science and Technology 7, is6 (August 22, 2014): 40–47. http://dx.doi.org/10.17485/ijst/2014/v7sp6.5.

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21

Iqbal, Arif, and G. K. Singh. "Eigenvalue analysis of six-phase synchronous motor for small signal stability." EPE Journal 28, no. 2 (January 17, 2018): 49–62. http://dx.doi.org/10.1080/09398368.2018.1425241.

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22

He, Jinghan, Xiaoyu Wu, Xiangyu Wu, Yin Xu, and Josep M. Guerrero. "Small-Signal Stability Analysis and Optimal Parameters Design of Microgrid Clusters." IEEE Access 7 (2019): 36896–909. http://dx.doi.org/10.1109/access.2019.2900728.

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23

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 (October 24, 2011): 118–33. http://dx.doi.org/10.1177/1748006x11424534.

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24

Shawon, Mohammad Hasanuzzaman, Ahmed Al-Durra, Cedric Caruana, and S. M. Muyeen. "Small Signal Stability Analysis of Doubly Fed Induction Generator including SDBR." Journal of international Conference on Electrical Machines and Systems 2, no. 1 (March 1, 2013): 31–39. http://dx.doi.org/10.11142/jicems.2013.2.1.31.

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25

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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26

Hu, Pan, Hongkun Chen, Xiaohang Zhu, and Lei Chen. "Small-signal stability analysis of Energy Internet through differential inclusion theory." Journal of Engineering 2018, no. 17 (November 1, 2018): 1896–902. http://dx.doi.org/10.1049/joe.2018.8340.

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27

Krismanto, Awan, N. Mithulananthan, and Kwang Y. Lee. "Comprehensive Modelling and Small Signal Stability Analysis of RES-based Microgrid." IFAC-PapersOnLine 48, no. 30 (2015): 282–87. http://dx.doi.org/10.1016/j.ifacol.2015.12.391.

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28

Izumi, Shinsaku, Yuya Karakawa, and Xin Xin. "Analysis of small-signal stability of power systems with photovoltaic generators." Electrical Engineering 101, no. 2 (May 14, 2019): 321–31. http://dx.doi.org/10.1007/s00202-019-00778-w.

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29

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 (August 2007): 1239–48. http://dx.doi.org/10.1016/j.epsr.2006.09.014.

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30

Adelpour, Mohammad, Mohsen Hamzeh, and Keyhan Sheshyekani. "Comprehensive small-signal stability analysis of islanded synchronous generator-based microgrids." Sustainable Energy, Grids and Networks 26 (June 2021): 100444. http://dx.doi.org/10.1016/j.segan.2021.100444.

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31

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 validity of the theory is verified by the voltage drop of different nodes, which proves that power system integrated with wind-solar renewable energy participating in the frequency regulation can restore the system to the rated frequency in the shortest time and, at the same time, can enhance the robustness of each unit.

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32

Feng, Jun Qi, Da Xie, Yu Jian Jia, and Rui Lin Wang. "Small Signal Stability Analysis of Wind Turbine for Shaft Torsional Vibration Studies." Advanced Materials Research 805-806 (September 2013): 347–63. http://dx.doi.org/10.4028/www.scientific.net/amr.805-806.347.

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One critical task in wind turbine shaft torsional vibration study involves the modelling of wind turbine and power grid. Focus on the mechanical rotational system of wind turbine, this paper provides three-mass shaft model upon which one wind turbine to infinite bus model can be developed. The model based on small signal stability analysis is used to study the wind turbine shaft torsional vibration. For this reason, this paper concentrates on the union model of stall wind turbine and power grid. The small-signal stability model includes the mechanical system and electrical system. Each of the component-blocks of the wind turbine and power grid is modelled separately so that one can easily expand and modify the model to suit their needs. Then, this is followed by one case study to explain how the small-signal stability model can be used to study wind turbine shaft torsional vibration issues.

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33

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 parallel algorithm for small signal stability analysis. The analysis of the small signal stability eigenvalue calculation is assigned to a different platform computing nodes simultaneously. Then this method is applied to Henan grid in the year of 2012. The results show that the small signal stability algorithm which based on the multi-band can ensure the correctness of calculations. Simultaneously, calculation time is greatly reduced and the work efficiency is improved. The practice has a strong role in the promotion.

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34

Xia, Bing Yang, and Jing Ma. "Low Frequency Oscillation Analysis of Microgrid Using Perturbation Theory." Advanced Materials Research 960-961 (June 2014): 1295–99. http://dx.doi.org/10.4028/www.scientific.net/amr.960-961.1295.

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This paper presents a perturbation based method for small-signal stability analysis in microgrid based on the uncertainty of microgrid parameters. The small-signal state-space model is built including the dynamic characteristics of the controllers, the power measurement and the system circuit and load dynamics model. The system eigenvalues of operating point at a steady-state in microgrid are obtained by the model. Based on perturbation theory, the corresponding low-frequency eigenvaluea and damping ratio of the microgrid system are calculated when the microgrid parameters changing in the range. Then the relationship between small-signal frequency stability and parameters changes can be determined. The validity of the proposed method and the importance of the stablility analysis of the microgrid small-signal are proved by the simulation results.

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35

Zuo, Jian, Yinhong Li, Defu Cai, and Dongyuan Shi. "Latin Hypercube Sampling Based Probabilistic Small Signal Stability Analysis Considering Load Correlation." Journal of Electrical Engineering and Technology 9, no. 6 (November 1, 2014): 1832–42. http://dx.doi.org/10.5370/jeet.2014.9.6.1832.

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36

Karawita, C., and U. D. Annakkage. "A Hybrid Network Model for Small Signal Stability Analysis of Power Systems." IEEE Transactions on Power Systems 25, no. 1 (February 2010): 443–51. http://dx.doi.org/10.1109/tpwrs.2009.2036709.

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37

Kalcon, Giddani O., Grain P. Adam, Olimpo Anaya-Lara, Stephen Lo, and Kjetil Uhlen. "Small-Signal Stability Analysis of Multi-Terminal VSC-Based DC Transmission Systems." IEEE Transactions on Power Systems 27, no. 4 (November 2012): 1818–30. http://dx.doi.org/10.1109/tpwrs.2012.2190531.

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38

Sun, D. W., H. Liu, P. Song, S. Zhu, and Z. Wei. "Small-Signal Modelling and Stability Analysis of Current-Controlled Virtual Synchronous Generators." IOP Conference Series: Earth and Environmental Science 192 (November 5, 2018): 012013. http://dx.doi.org/10.1088/1755-1315/192/1/012013.

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39

Xu, Yangkun, Miao Zhang, Lingling Fan, and Zhixin Miao. "Small-Signal Stability Analysis of Type-4 Wind in Series-Compensated Networks." IEEE Transactions on Energy Conversion 35, no. 1 (March 2020): 529–38. http://dx.doi.org/10.1109/tec.2019.2943578.

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40

Shi, L. B., C. Wang, L. Z. Yao, L. M. Wang, and Y. X. Ni. "Analysis of impact of grid-connected wind power on small signal stability." Wind Energy 14, no. 4 (November 26, 2010): 517–37. http://dx.doi.org/10.1002/we.440.

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41

Mustadir Darusman, B., Ansar Suyuti, and Indar Chaerah Gunadin. "Small Signal Stability Analysis of Wind Turbine Penetration in Sulselrabar Interconnection System." Journal of Physics: Conference Series 1090 (September 2018): 012034. http://dx.doi.org/10.1088/1742-6596/1090/1/012034.

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42

Yan, Yimajian, Di Shi, Desong Bian, Bibin Huang, Zhehan Yi, and Zhiwei Wang. "Small-Signal Stability Analysis and Performance Evaluation of Microgrids Under Distributed Control." IEEE Transactions on Smart Grid 10, no. 5 (September 2019): 4848–58. http://dx.doi.org/10.1109/tsg.2018.2869566.

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43

Parniani, M. "Computer analysis of small-signal stability of power systems including network dynamics." IEE Proceedings - Generation, Transmission and Distribution 142, no. 6 (1995): 613. http://dx.doi.org/10.1049/ip-gtd:19952194.

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44

Sakinci, Ozgur Can, and Jef Beerten. "Generalized Dynamic Phasor Modeling of the MMC for Small-Signal Stability Analysis." IEEE Transactions on Power Delivery 34, no. 3 (June 2019): 991–1000. http://dx.doi.org/10.1109/tpwrd.2019.2898468.

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45

Wang, Guanzhong, Huanhai Xin, Di Wu, and Ping Ju. "Data-driven probabilistic small signal stability analysis for grid-connected PV systems." International Journal of Electrical Power & Energy Systems 113 (December 2019): 824–31. http://dx.doi.org/10.1016/j.ijepes.2019.06.004.

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46

JIA, Qi, Gangui YAN, Yuru CAI, Yonglin LI, and Jinhao ZHANG. "Small-signal stability analysis of photovoltaic generation connected to weak AC grid." Journal of Modern Power Systems and Clean Energy 7, no. 2 (June 20, 2018): 254–67. http://dx.doi.org/10.1007/s40565-018-0415-3.

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47

Rahman, Atta, Irtaza Syed, and Mukhtar Ullah. "Small-Signal Stability Criteria in AC Distribution Systems—A Review." Electronics 8, no. 2 (February 15, 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 converting the system into load and source subsystem, the impedances of both subsystems are determined by perturbation method. For a single-phase system, Hilbert transform can be used to derive the equivalent SRF model. Afterwards, the Nyquist stability criterion can be used for stability analysis.

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48

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 mode. The developed algorithm is tested on a sample power system to validate the feasibility of the proposed method for the calculation of the critical eigenvalue.

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49

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 eigenvalues and thus to alleviate the effort for computing and analyzing all the system eigenvalues. The developed algorithm is to be tested on a sample power system to validate the feasibility of the proposed new eigenvalue calculation method.

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50

Vittal, V. "Consequence and impact of electric utility industry restructuring on transient stability and small-signal stability analysis." Proceedings of the IEEE 88, no. 2 (February 2000): 196–207. http://dx.doi.org/10.1109/5.823998.

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