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Reseach Article

Voltage Stability Assessment using GVSM and Preventive Control using SVC

by Ankit Kumar Sharma, Akash Saxena, Rajive Tiwari
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 142 - Number 11
Year of Publication: 2016
Authors: Ankit Kumar Sharma, Akash Saxena, Rajive Tiwari
10.5120/ijca2016909865

Ankit Kumar Sharma, Akash Saxena, Rajive Tiwari . Voltage Stability Assessment using GVSM and Preventive Control using SVC. International Journal of Computer Applications. 142, 11 ( May 2016), 23-31. DOI=10.5120/ijca2016909865

@article{ 10.5120/ijca2016909865,
author = { Ankit Kumar Sharma, Akash Saxena, Rajive Tiwari },
title = { Voltage Stability Assessment using GVSM and Preventive Control using SVC },
journal = { International Journal of Computer Applications },
issue_date = { May 2016 },
volume = { 142 },
number = { 11 },
month = { May },
year = { 2016 },
issn = { 0975-8887 },
pages = { 23-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume142/number11/24940-2016909865/ },
doi = { 10.5120/ijca2016909865 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:44:43.074960+05:30
%A Ankit Kumar Sharma
%A Akash Saxena
%A Rajive Tiwari
%T Voltage Stability Assessment using GVSM and Preventive Control using SVC
%J International Journal of Computer Applications
%@ 0975-8887
%V 142
%N 11
%P 23-31
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Voltage stability is a major concern while designing a foolproof power network. In recent years deregulated environment put an additional pressure on transmission and distribution utilities. With this fact assessment of voltage stability along with the preventive control actions are major area of research. With this motivation, this paper presents assessment of voltage stability through Global Voltage Stability Margin (GVSM). GVSM is an indicator of the system’s health from a voltage stability perspective. Three standard IEEE bus systems are simulated with different loading scenarios. Static Var Compensator (SVC) has employed for preventive control in collapse condition. The location of SVC is finalised through weak bus identification methods. Voltage stability indices namely Fast Voltage Stability Indice (FVSI) and Lmn are utilized to identify weak buses in the systems. For calculation of the Size of SVC, an optimization routine is established. This routine has an aim to maximize the GVSM. Gravitational Search Algorithm (GSA) is used for the optimization. The results obtained from proposed method are promising.

References
  1. P. Nagendra et al.2011. An innovative technique to evaluate network equivalent for voltage stability assessment in a widespread sub-grid system. Electrical Power and Energy Systems, ELSEVIER, Vol. 33, pp. 737–744.
  2. M.H. Haque, 2004. Use of V–I characteristic as a tool to assess the static voltage stability limit of a power system. IEE Proc.-Gener. Transm. Distrib., Vol. 151, No. 1.
  3. P.Kundur, 1994. Power System Stability and Control. Mc.Graw-Hill, ISBN-13:9780070635159, NewYork, USA.
  4. Gubina F, Strmcnik B. 1995. Voltage collapse proximity index determination using voltage phasors approach. IEEE Trans Power Syst 1995;10(2):788–94.
  5. Gubina F, Strmcnik B. 1997. A simple approach to voltage stability assessment in radial networks. IEEE Trans Power Syst 1997;12(3):1121–8.
  6. Vadivelu K R et al. 2014. Maximum loadability estimation for weak bus identification using Fast Voltage Stability Index in a power transmission system by real time approach. IJEETC, ISSN 2319 – 2518, Vol. 3, No. 1.
  7. Fozdar M. and C.M Arora 2006. Improvement of Voltage stability and Effects of Loadability. IEEE Universities Power Engineering Conference (UPEC-06), Volume: 2,Pages: 486 - 490.
  8. Reis Claudia, 2006. A Comparison of Voltage Stability Indices”, IEEE MELECON 2006, May 16-19, Benalmadena (Malaga), Spain.
  9. P. Kessel and H. Glavitsch, 1986. Estimating the voltage stability of a power system. IEEE Transactions on Power Delivery, Vol.PWRD-1, No.3, pp. 346- 353.
  10. N. D. Hatziargyriou and T. Van Cutsem, 1994. Indices for predicting voltage collapse including dynamic phenomena. Technical report TF-38-02-11, CIGRE.
  11. M. Moghavvemi, 1997. New method for indicating voltage stability in power system. Proceedings of IEEE International Conference on Power Engineering, Singapore, IPEC, 1997, pp. 223-227.
  12. Musirin Ismail et al 2002. On-Line Voltage Stability Based Contingency Ranking Using Fast Voltage Stability Index (FVSI). International conference on “IEEE/PES Transmission and Distribution Conference and Exhibition 2002, Asia Pacific.  Vol: 2, Pages: 1118 – 1123.
  13. Musirin Ismail et al 2002. Novel Fast Voltage Stability Index (FVSI) for Voltage Stability Analysis in Power Transmission System. IEEE Student Conference on Research and Developing Proceeding 2002, Pages: 265 - 268.
  14. A. Mohamed, G. B. Jasmon and S. Yusoff, 1989. A static voltage collapse indicator using line stability factors. Journal of Industrial Technology, Vol. 7, No. 1, pp. 73-85.
  15. Nandlal Krishna et al 2014. Assessment of Voltage Stability of a Small Island Network using a Developed MATLAB Toolbox. IEEE Transmission & Distribution Conference and Exposition-Latin America IEEE PES.
  16. Lim Z. J. et al2012. Evaluation of the Effectiveness of Voltage Stability Indices on Different Loadings. IEEE International power engineering and optimization conference (PEOCO 2012), Melaka, Malaysia.
  17. Suganyadevi M.V. et al 2009. Estimating of Loadability Margin of a Power System by comparing Voltage Stability Indices. International conference on “control, automation, communication and energy conservation -2009.
  18. Tiwari R. et al 2012. Line Collapse Proximity Index for Prediction of Voltage Collapse in Power Systems. Electrical Power and Energy Systems, ELSEVIER, Vol. 41, pp. 105–111.
  19. Rahi O. P. et al 2011. Power System Voltage Stability Assessment through Artificial Neural Network.International Conference on Communication Technology and System Design 2011, ELSEVIER Procedia Engineering, Vol. 30, pp. 53-60.
  20. Arya L. D. et al, 2010. Loadability margin enhancement using co-ordinated aggregation based particle swarm optimization (CAPSO). Electrical Power and Energy Systems, ELSEVIER, Vol. 32, pp. 975-984.
  21. Chang C.S. et al 1998. Optimal multi objective SVC planning for voltage stability enhancement. IEEE Proceedings on Generation, Transmission and Distribution, Vol. 145, No.2.
  22. E Rashedi, H Nezamabadi-pour and S Saryazdi, 2009. GSA: A Gravitational Search Algorithm. Information Science, Vol. 179, p. 2232– 2248.
  23. Saxena Aakash et al, 2015. A chronological review and comparison of four Evolutionary based algorithms. European Journal of Advances in Engineering and Technology, Vol. 2(1), Page No. 35-41, 2015.
  24. Binod Shaw et al, 2014. Solution of reactive power dispatch of power systems by an opposition based gravitational search algorithm. Electrical Power and Energy Systems, ELSEVIER, Vol. 55, pp. 29-40.
  25. Serhat Duman et al, 2012. Optimal power flow using gravitational search algorithm. Energy Conversion and Management, ELSEVIER, Vol. 59, pp. 86-95.
  26. E Rashedi, H Nezamabadi-pour and S Saryazdi, 2011. Filter modeling using gravitational search algorithm. Engineering Applications of Artificial Intelligence, ELSEVIER, Vol. 24, pp. 117-122.
  27. Biplab Bhattacharyya et al 2015. Reactive power planning with FACTS devices using gravitational search algorithm. Ain Shams Engineering Journal vol. 6, pp. 865–871.
  28. Ambika Ramamoorthy et al 2014. Reactive Power Optimization Using GSA. IEEE 978-1-4799-6042-2/14.
  29. Power system Test Archive-UWEE, University of Washington http://www.ee.washington.edu/research/pstca>.
  30. www.mathworks.com
  31. Ibrahim B.M.Taha, 2015. Best locations of shunt SVCs for steady state voltage stability enhancement. IEEE 978-1-4799-8598-2.
  32. Md. M.Biswas et al, 2011. Voltage level improving by using static VAR compensator (SVC). Global Journal of researches in engineering, Volume 11 Issue 5 Version 1.0, ISSN: 0975-5861.
  33. Mark Ndubuka, 2009. Voltage Stability Improvement using Static Var Compensator in Power Systems. Leonardo Journal of Sciences, ISSN 1583-0233, Issue 14, pp. 167-172.
  34. Beki O.L. et al, 2010. Optimal location of SVC and TCSC for Voltage Stability Assessment. IEEE The 4th International Power Engineering and Optimization Conference (PEOCO2010), Shah Alam, Selangor, MALAYSIA.
  35. Chaparro E.R. et al, 2011. Coordinated tuning of a set of Static Var Compensators using Evolutionary Algorithms. IEEE Trondheim PowerTech, 978-1-4244-8417-1/11.
  36. J. Vara Prasad et al, 2013. Optimal Allocation of FACTS Controllers for Critical Loading Margin Enhancement. IEEE International Conference on Power, Energy and Control (ICPEC), 978-1-4673-6030-2/13.
  37. B.T. Ooi et al, 1984. Co-Ordination of Static Var Compensators with Long Distance Radial Transmission System for Damping Improvement. IEEE Power Engineering Review, pp-265-274.
  38. Hemat Barot et al, 2014. Operational experience withstatic Var compensators in Ontario, Canada. IEEE 978-1-4799-6415-4/14.
  39. Prechanon Kumkratug 2012. The Mathematical Model of Power System with Static Var Compensator in Long Transmission Line. American Journal of Applied Sciences Vol. 9 (6): pp. 846-850, ISSN 1546-9239.
Index Terms

Computer Science
Information Sciences

Keywords

Global Voltage Stability Margin (GVSM) Fast Voltage Stabilty Index (FVSI) Gravitational Search Algorithm (GSA) and IEEE test bus systems