{"title":"Static Voltage Stability Assessment Considering the Power System Contingencies using Continuation Power Flow Method","authors":"Mostafa Alinezhad, Mehrdad Ahmadi Kamarposhti","volume":26,"journal":"International Journal of Electrical and Computer Engineering","pagesStart":280,"pagesEnd":287,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/15947","abstract":"
According to the increasing utilization in power system, the transmission lines and power plants often operate in stability boundary and system probably lose its stable condition by over loading or occurring disturbance. According to the reasons that are mentioned, the prediction and recognition of voltage instability in power system has particular importance and it makes the network security stronger.This paper, by considering of power system contingencies based on the effects of them on Mega Watt Margin (MWM) and maximum loading point is focused in order to analyse the static voltage stability using continuation power flow method. The study has been carried out on IEEE 14-Bus Test System using Matlab and Psat softwares and results are presented.<\/p>\r\n","references":"[1] Majid Poshtan, Parviz Rastgoufard, and Brij Singh, \"Contingency\r\nRanking for Voltage Stability Analysis of Large-Scale Power Systems\"\r\n,Proceeding of IEEE \/PES Power System Conference and Exposition,\r\npp. 1595-1602, Oct. 2004.\r\n[2] I. Musirin and T. Kh. A. Rahnian,\" Fast Automatic Contingency\r\nAnalysis and Ranking Technique for Power System Security\r\nAssessment,\" Student Conrerence on Research and Development\r\n(SCOReD) IEEE Proceedings, Putrajaya, Malaysia, 2003.\r\n[3] Flueck, A. J., and Q. Wei. \" A New Technique for Evaluating the\r\nSeverity of Branch Outage Contingencies Based on Two-Parameter\r\nContinuation,\" Proceedings of IEEE PES General Meeting, June 2003,\r\npp. 1-5.\r\n[4] Mansour, Y ., E Vahedi, and M. A. El-Sharkawi. \"Dynamic Security\r\nContingency Screening and Ranking Using Neural Networks.\" IEEE\r\nTransaction on Neural Networks. 8.4 (July 1997): 942-950.\r\n[5] Jain, T., L. Srivastava, and S. N. SINGH. \"Fast Voltage Contingency\r\nScreening Using Radial Basis Function Neural Network.\" IEEE\r\nTransaction on Power Systems. 18.4 (Nov.2003): 1359-1366.\r\n[6] Srivastava, L, S. N. Singh, and J. Sharma. \"Knowledge Based Neural\r\nNetwork for Voltage Contingency Selection and Ranking.\" IEEE\r\nProceedings on Generation, Transmission and Distribution.146.6\r\n(Nov.1999): 649-656.\r\n[7] Lo, K. L., and A. K. I. Abdelaal, \" Fuzzy Logic Based Contingency\r\nAnalysis\" ,Proceedings of Electric Utility De-regulation, Restructing,\r\nand Power Technologies, DRPT . London, April,2000.\r\n[8] Mori, H., and E. Ando. \"Two Staged Simplified Fuzzy Inference for\r\nDynamic Contingency Screening in Power systems.\" ,IEEE PES Sumer\r\nMeeting. 4(July 2000): 1996-2001.\r\n[9] Sudersan, A., M. Abdelrahman, and G. radman. \"Contingency Selection\r\nand Static Security Enhancement in Power Systems Using Heuristic-\r\nBased and Static Generic Algoritms,\" Proceedings of Thirty-Sixth\r\nSoutheastern Symposium on System Theory. 1 (2004): 556-560.\r\n[10] Les Pereira and Don DeBerry, \" Double contingency transmission\r\noutages in a generation and reactive power deficient area\" , IEEE Trans.\r\non Power Systems vol 15, Feb 2000, pp. 416-413.\r\n[11] K. Vu, M.M. Begovic, D. Novesel and M.M. Saha, \"Use of local\r\nmeasurement to estimate voltage-stability margin\" IEEE Transaction on\r\nPower Systems, vol. 14, no. 3, August 1999, pp. 1029-1035.\r\n[12] C.W. Taylor, Power System Voltage Stability, McGraw-Hill, 1994.\r\n[13] F. Milano, \"Power System Analysis Toolbox,\" Version 1.3.4, Software\r\nand Documentation, July 14, 2005.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 26, 2009"}