Abstract
Power system is probably one of the most complex dynamical systems. In these systems, active and reactive power demand is increasing day by day, other way it can be said that the stress on these systems is increasing. Under these stressed conditions, they are operating at the stability limits to meet their load demand. Due to the above scenario, voltage stability problem became a major issue. For stable operation of power systems, continuous monitoring of proximity of the voltage instability is necessary. This paper presents a New Line Voltage Stability Index (NLVSI) for detecting the proximity of voltage instability of the system. In this work, constant PQ and ZIP load models are considered to study the effectiveness of the proposed index. Experimentally determined ZIP coefficients are used for ZIP load models. The proposed work is demonstrated on standard IEEE 14 bus test system. The results are compared with some existing indices to validate its feasibility. All the simulations in this work are carried out through MATLAB.
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References
K12-M Group, Begović J, Bright TJ, Domin S, Easterday-Mcpadden A, Girgis W, Hartmann C, Henville M, Ibrahim K, KoŹmiński R, Marttila G, Michel K, Mustaphi D, Novosel B, Pettigrew M, Sachdev HS, Shuh P, Solanics J, Williams JGP, Voltage collapse mitigation report to IEEE power system
Bian J, Rastgoufard P (1994) Power system voltage stability and security assessment. Electr Power Syst Res 30(3):197–201
Kundur P, Paserba J, Ajjarapu V, Andersson G, Bose A, Canizares C, Hatziargyriou N, Hill D, Stankovic A, Taylor C et al (2004) Definition and classification of power system stability IEEE/CIGRE joint task force on stability terms and definitions. IEEE Trans Power Syst 19(3):1387–1401
Moghavvemi M, Omar FM (1998) Technique for contingency monitoring and voltage collapse prediction. IEE Proc-Gener Transm Distrib 145(6):634–640
Musirin I, Abdul Rahman TA (2002) Novel fast voltage stability index (FVSI) for voltage stability analysis in power transmission system. In: Student conference on research and development, 2002. SCOReD 2002. IEEE, pp 265–268
Mohamed A, Jasmon GB, Yusoff S (1989) A static voltage collapse indicator using line stability factors. J Ind Technol 7(1):73–85
Moghavvemi M, Faruque O (1998) Real-time contingency evaluation and ranking technique. IEE Proc-Gener Transm Distrib 145(5):517–524
Althowibi FA, Mustafa MW (2010) Line voltage stability calculations in power systems. In: 2010 IEEE international conference on power and energy (PECon). IEEE, pp 396–401
Kanimozhi R, Selvi K (2013) A novel line stability index for voltage stability analysis and contingency ranking in power system using fuzzy based load flow. J Electr Eng Technol (JEET) 8(4):694–703
Hajagos LM, Danai, B (1998) Laboratory measurements and models of modern loads and their effect on voltage stability studies. IEEE Trans Power Syst, 13(2):584–592
Christie R (2000) Power systems test case archive. Electrical engineering. University of Washington. https://www2.ee.washington.edu/research/pstca
IITKANPUR. Power systems analysis, NPTEL. course. Electrical engineering. http://nptel.ac.in/courses/Webcourse-contents/IIT-KANPUR/power-system/ui/Course_home-2.htm
Bokhari A, Alkan A, Dogan R, Diaz-Aguiló M, De Leon F, Czarkowski D, Zabar Z, Birenbaum L, Noel A, Uosef RE (2014) Experimental determination of the ZIP coefficients for modern residential, commercial, and industrial loads. IEEE Trans Power Deliv 29(3):1372–1381
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Burle, T., Chintapalli, V.V.S.B.R., Thota, P. (2020). A New Line Voltage Stability Index (NLVSI) For Voltage Stability Assessment. In: Kalam, A., Niazi, K., Soni, A., Siddiqui, S., Mundra, A. (eds) Intelligent Computing Techniques for Smart Energy Systems. Lecture Notes in Electrical Engineering, vol 607. Springer, Singapore. https://doi.org/10.1007/978-981-15-0214-9_57
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DOI: https://doi.org/10.1007/978-981-15-0214-9_57
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