Static Voltage Stability Assessment Considering the Power System Contingencies using Continuation Power Flow Method
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.
[1] Majid Poshtan, Parviz Rastgoufard, and Brij Singh, "Contingency
Ranking for Voltage Stability Analysis of Large-Scale Power Systems"
,Proceeding of IEEE /PES Power System Conference and Exposition,
pp. 1595-1602, Oct. 2004.
[2] I. Musirin and T. Kh. A. Rahnian," Fast Automatic Contingency
Analysis and Ranking Technique for Power System Security
Assessment," Student Conrerence on Research and Development
(SCOReD) IEEE Proceedings, Putrajaya, Malaysia, 2003.
[3] Flueck, A. J., and Q. Wei. " A New Technique for Evaluating the
Severity of Branch Outage Contingencies Based on Two-Parameter
Continuation," Proceedings of IEEE PES General Meeting, June 2003,
pp. 1-5.
[4] Mansour, Y ., E Vahedi, and M. A. El-Sharkawi. "Dynamic Security
Contingency Screening and Ranking Using Neural Networks." IEEE
Transaction on Neural Networks. 8.4 (July 1997): 942-950.
[5] Jain, T., L. Srivastava, and S. N. SINGH. "Fast Voltage Contingency
Screening Using Radial Basis Function Neural Network." IEEE
Transaction on Power Systems. 18.4 (Nov.2003): 1359-1366.
[6] Srivastava, L, S. N. Singh, and J. Sharma. "Knowledge Based Neural
Network for Voltage Contingency Selection and Ranking." IEEE
Proceedings on Generation, Transmission and Distribution.146.6
(Nov.1999): 649-656.
[7] Lo, K. L., and A. K. I. Abdelaal, " Fuzzy Logic Based Contingency
Analysis" ,Proceedings of Electric Utility De-regulation, Restructing,
and Power Technologies, DRPT . London, April,2000.
[8] Mori, H., and E. Ando. "Two Staged Simplified Fuzzy Inference for
Dynamic Contingency Screening in Power systems." ,IEEE PES Sumer
Meeting. 4(July 2000): 1996-2001.
[9] Sudersan, A., M. Abdelrahman, and G. radman. "Contingency Selection
and Static Security Enhancement in Power Systems Using Heuristic-
Based and Static Generic Algoritms," Proceedings of Thirty-Sixth
Southeastern Symposium on System Theory. 1 (2004): 556-560.
[10] Les Pereira and Don DeBerry, " Double contingency transmission
outages in a generation and reactive power deficient area" , IEEE Trans.
on Power Systems vol 15, Feb 2000, pp. 416-413.
[11] K. Vu, M.M. Begovic, D. Novesel and M.M. Saha, "Use of local
measurement to estimate voltage-stability margin" IEEE Transaction on
Power Systems, vol. 14, no. 3, August 1999, pp. 1029-1035.
[12] C.W. Taylor, Power System Voltage Stability, McGraw-Hill, 1994.
[13] F. Milano, "Power System Analysis Toolbox," Version 1.3.4, Software
and Documentation, July 14, 2005.
[1] Majid Poshtan, Parviz Rastgoufard, and Brij Singh, "Contingency
Ranking for Voltage Stability Analysis of Large-Scale Power Systems"
,Proceeding of IEEE /PES Power System Conference and Exposition,
pp. 1595-1602, Oct. 2004.
[2] I. Musirin and T. Kh. A. Rahnian," Fast Automatic Contingency
Analysis and Ranking Technique for Power System Security
Assessment," Student Conrerence on Research and Development
(SCOReD) IEEE Proceedings, Putrajaya, Malaysia, 2003.
[3] Flueck, A. J., and Q. Wei. " A New Technique for Evaluating the
Severity of Branch Outage Contingencies Based on Two-Parameter
Continuation," Proceedings of IEEE PES General Meeting, June 2003,
pp. 1-5.
[4] Mansour, Y ., E Vahedi, and M. A. El-Sharkawi. "Dynamic Security
Contingency Screening and Ranking Using Neural Networks." IEEE
Transaction on Neural Networks. 8.4 (July 1997): 942-950.
[5] Jain, T., L. Srivastava, and S. N. SINGH. "Fast Voltage Contingency
Screening Using Radial Basis Function Neural Network." IEEE
Transaction on Power Systems. 18.4 (Nov.2003): 1359-1366.
[6] Srivastava, L, S. N. Singh, and J. Sharma. "Knowledge Based Neural
Network for Voltage Contingency Selection and Ranking." IEEE
Proceedings on Generation, Transmission and Distribution.146.6
(Nov.1999): 649-656.
[7] Lo, K. L., and A. K. I. Abdelaal, " Fuzzy Logic Based Contingency
Analysis" ,Proceedings of Electric Utility De-regulation, Restructing,
and Power Technologies, DRPT . London, April,2000.
[8] Mori, H., and E. Ando. "Two Staged Simplified Fuzzy Inference for
Dynamic Contingency Screening in Power systems." ,IEEE PES Sumer
Meeting. 4(July 2000): 1996-2001.
[9] Sudersan, A., M. Abdelrahman, and G. radman. "Contingency Selection
and Static Security Enhancement in Power Systems Using Heuristic-
Based and Static Generic Algoritms," Proceedings of Thirty-Sixth
Southeastern Symposium on System Theory. 1 (2004): 556-560.
[10] Les Pereira and Don DeBerry, " Double contingency transmission
outages in a generation and reactive power deficient area" , IEEE Trans.
on Power Systems vol 15, Feb 2000, pp. 416-413.
[11] K. Vu, M.M. Begovic, D. Novesel and M.M. Saha, "Use of local
measurement to estimate voltage-stability margin" IEEE Transaction on
Power Systems, vol. 14, no. 3, August 1999, pp. 1029-1035.
[12] C.W. Taylor, Power System Voltage Stability, McGraw-Hill, 1994.
[13] F. Milano, "Power System Analysis Toolbox," Version 1.3.4, Software
and Documentation, July 14, 2005.
@article{"International Journal of Electrical, Electronic and Communication Sciences:64934", author = "Mostafa Alinezhad and Mehrdad Ahmadi Kamarposhti", title = "Static Voltage Stability Assessment Considering the Power System Contingencies using Continuation Power Flow Method", 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.
", keywords = "Contingency, Continuation Power Flow, Static Voltage Stability, Voltage Collapse.", volume = "3", number = "2", pages = "391-7", }
