Online determination of voltage stability weak areas for situational awareness improvement

作者: S.M. Pérez-Londoño , G. Olivar-Tost , J.J. Mora-Florez

DOI: 10.1016/J.EPSR.2016.12.026

关键词:

摘要: Abstract A fast and accurate determination of voltage stability weak areas allows the power system operator to execute preventive actions, aimed maintain an adequate operation under changing conditions. However, due large number possible operating conditions, becomes a challenging task. This paper is oriented discuss approach for online identification these in system, where exist high risk experience problems. The proposal, which part situational awareness tool, initially defines next determines actual area, using measurements obtained from system. According tests performed two systems (IEEE 14 30 nodes), proposed alternative has performance rates on areas. errors are lower than 1% more 111,000 different conditions analysed systems. strategy, validate its use as tool.

参考文章(22)
S. Satsangi, A. Saini, A. Saraswat, Voltage control areas for reactive power management using clustering approach in deregulated power system Sustainable Energy and Intelligent Systems (SEISCON 2011), International Conference on. pp. 409- 415 ,(2011) , 10.1049/CP.2011.0398
Nello Cristianini, J Shawe-Taylor, An introduction to Support Vector Machines Cambridge University Press (2000). ,(2000)
Julius T. Tou, Rafael C. Gonzalez, Pattern recognition principles ,(1974)
S. M. Hassan Hosseini, J. Olamaei, V. Gholami, M. Jahangir, Decision Tree Based Online Identification of Critical Voltage Control Area 2012 Asia-Pacific Power and Energy Engineering Conference. pp. 1- 4 ,(2012) , 10.1109/APPEEC.2012.6307562
V. Balamourougan, T.S. Sidhu, M.S. Sachdev, Technique for online prediction of voltage collapse IEE Proceedings - Generation, Transmission and Distribution. ,vol. 151, pp. 453- 460 ,(2004) , 10.1049/IP-GTD:20040612
S Pérez-Londoño, LF Rodríguez, G Olivar, None, A Simplified Voltage Stability Index (SVSI) International Journal of Electrical Power & Energy Systems. ,vol. 63, pp. 806- 813 ,(2014) , 10.1016/J.IJEPES.2014.06.044
Mauricio Dester, Carlos A. Castro, Multi-criteria contingency ranking method for voltage stability Electric Power Systems Research. ,vol. 79, pp. 220- 225 ,(2009) , 10.1016/J.EPSR.2008.05.023
M. Moghavvemi, F.M. Omar, Technique for contingency monitoring and voltage collapse prediction IEE Proceedings - Generation, Transmission and Distribution. ,vol. 145, pp. 634- 640 ,(1998) , 10.1049/IP-GTD:19982355
J.A. Laghari, H. Mokhlis, A.H.A. Bakar, Hasmaini Mohamad, Application of computational intelligence techniques for load shedding in power systems: A review Energy Conversion and Management. ,vol. 75, pp. 130- 140 ,(2013) , 10.1016/J.ENCONMAN.2013.06.010
Magesh Paramasivam, Sambarta Dasgupta, Venkataramana Ajjarapu, Umesh Vaidya, Contingency Analysis and Identification of Dynamic Voltage Control Areas IEEE Transactions on Power Systems. ,vol. 30, pp. 2974- 2983 ,(2015) , 10.1109/TPWRS.2014.2385031