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An Assessment of Line Voltage Stability Indices to Select the Best Combination for Voltage Stability Prediction

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The Proceedings of the International Conference on Electrical Systems & Automation (ICESA 2021)

Abstract

Power grids have undergone major structural changes in recent years and are constantly expanding as countries develop. This leads to complex phenomena and can cause network collapse. Therefore, there is an urgent need to continuously monitor and control electrical grids using voltage stability prevention methods, namely voltage stability indices. The objective of this work is to evaluate and compare different line indices considering their sensitivity to network disturbances. Choosing the best combination of the two most sensitive indices can be used to predict the point of voltage collapse. This study is carried out on the two standard bus test networks IEEE 5-bus and IEEE 14-bus. The results are validated using MATLAB software.

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References

  1. Oukennou, A.: Contribution au développement des indicateurs de stabilité de la tension et leur utilisation dans la recherche de l’emplacement optimal des FACTS dans les réseaux électriques (2021)

    Google Scholar 

  2. Oukennou, A., Sandali, A.: Voltage stability indices sensitivity evaluation under load variation in electrical power system. In: Proceedings 2017 International Conference on Electrical and Information Technologies, vol. 2018-Janua, pp. 1–5 (2018)

    Google Scholar 

  3. Alhelou, H.H., Hamedani-Golshan, M.E., Njenda, T.C., Siano, P.: A survey on power system blackout and cascading events: research motivations and challenges. Energies 12(4):682, Feb (2019). https://www.mdpi.com/1996-1073/12/4/682/htm

  4. Pozzebon, S., Britton, B.: Venezuela power outage leaves most of country in dark—CNN. https://edition.cnn.com/2019/03/08/americas/venezuela-blackout-power-intl/index.html (2019)

  5. Farzan, Z.: Island-wide Power Cut due to an issue in the transmission system, https://www.newsfirst.lk/2020/08/17/island-wide-power-cut-due-to-an-issue-in-the-transmission-system/ (2020)

  6. Masood, S.: Much of Pakistan loses power in massive blackout—The New York times, https://www.nytimes.com/2021/01/09/world/asia/pakistan-blackout-power-failure.html (2021)

  7. Dazahra, M.N., Elmariami, F., Belfqih, A., Boukherouaa, J.: Optimal location of SVC using particle swarm optimization and voltage stability indexes. Int. J. Electr. Comput. Eng. 6(6), 2581–2588 (2016). https://doi.org/10.11591/ijece.v6i6.11921

    Article  Google Scholar 

  8. Samuel, I.A., Katende, J., Awosope, C.O.A., Awelewa, A.A.: Prediction of voltage collapse in electrical power system networks using a new voltage stability index. Int. J. Appl. Eng. Res. 12(2), 190–199 (2017)

    Google Scholar 

  9. Moghavvemi, M., Omar, F.M.: Technique for contingency monitoring and voltage collapse prediction. IEE Proc. Gener. Transm. Distrib. 145(6), 634–640 (1998)

    Article  Google Scholar 

  10. Musirin, I., Rahman, T.K.A.: Estimating maximum loadability for weak bus identification using FVSI. IEEE Power Eng. Rev. 22(11), 50–52 (2002)

    Google Scholar 

  11. Sahari, S., Abidin, A.F., Rahman, T.K.A.: Development of artificial neural network for voltage stability monitoring. In: Proceedings National Power Engineering Conference, pp. 37–42 (2003)

    Google Scholar 

  12. Abdul Rahman, T.K., Jasmon, G.B.: New technique for voltage stability analysis in a power system and improved loadflow algorithm for distribution network. In: Proceedings 1995 International Conference on Energy Management and Power Delivery EMPD, vol. 2. pp. 714–719 (1995)

    Google Scholar 

  13. Mohamed, S.Y.A., Jasmon, G.B.: A static voltage collapse indicator using line stability factors. J. Ind. Technol. 7(1), 73–85 (1989)

    Google Scholar 

  14. Chattopadhyay, T.K., Banerjee, S., Chanda, C. K.: Impact of distributed generator on voltage stability analysis of distribution networks under critical loading conditions. In: 2014 1st International Conference of Non Conventional Energy Search Clean Safe Energy, ICONCE Iconce, pp. 288–291 (2014)

    Google Scholar 

  15. Yazdanpanah-Goharrizi, A., Asghari, R.: A novel line stability index (NLSI) for voltage stability assessment of power systems. In: The 7th WSEAS International Conference on Power Systems, pp. 164–167 (2007)

    Google Scholar 

  16. Roy, R.B., Alahakoon, S., Arachchillage, S.J.: Grid impacts of uncoordinated fast charging of electric ferry (2021)

    Google Scholar 

  17. Boudreaux, J.A.: Design, simulation, and construction of an IEEE 14-Bus power system (2018)

    Google Scholar 

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Correspondence to Rabiaa Gadal .

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Gadal, R., Elmariami, F., Oukennou, A., Agouzoul, N., Tarraq, A. (2022). An Assessment of Line Voltage Stability Indices to Select the Best Combination for Voltage Stability Prediction. In: Bendaoud, M., Wolfgang, B., El Fathi, A. (eds) The Proceedings of the International Conference on Electrical Systems & Automation. ICESA 2021. Springer, Singapore. https://doi.org/10.1007/978-981-19-0035-8_8

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  • DOI: https://doi.org/10.1007/978-981-19-0035-8_8

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  • Print ISBN: 978-981-19-0034-1

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