BAT algorithm and Ant Colony Optimization based Optimal Reactive Power Dispatch to Improve Voltage Stability



Abstract Views
468

Downloads
378

Citations

Share

##plugins.themes.bootstrap3.article.sidebar##

Submitted Jun 6, 2017
Published Jun 18, 2017
10.24018/ejeng.2017.2.6.378

Abstract viewed = 468 times

Table of Contents

##plugins.themes.bootstrap3.article.main##

One of the important tasks of a power system engineer is to run the system in safe and reliable mode for secure operation with increase in loading. So, it is significant to perform voltage stability analysis by optimal reactive power dispatch with Artificial Intelligence (AI) techniques. This paper presents the application of Ant Colony Optimization (ACO) and BAT algorithms for Optimal Reactive Power Dispatch (ORPD) to enhance voltage stability. The proposed ACO and BAT algorithms are used to find the optimal settings of On-load Tap changing Transformers (OLTC), Generator excitation and Static Var Compensators (SVC) to minimize the sum of the squares of the voltage stability L– indices of all the load buses. By calculating system parameters like L-Index, voltage error/deviation and real power loss for the practical Equivalent of Extra High Voltage (EHV) Southern Region Indian 24 bus system, voltage profile is improved and voltage stability is enhanced. A comparative analysis is done with the conventional optimization technique like Linear Programming (LP) for the given objective function to demonstrate the effectiveness of proposed ACO and BAT algorithms.

 

Keywords: Ant Colony Optimization BAT algorithm Linear Programming Voltage Stability L-Index Optimal reactive power dispatch

Downloads

Download data is not yet available.

References

  1. B. Stott, J. L. Marinho, “Linear programming for power-system network security applications”, IEEE Transactions on Power Apparatus and Systems, Vol. 98, No. 3, May/June 1979.
     Google Scholar
  2. Eric Hobson, “Network constrained reactive power control using linear programming”, IEEE Transactions on Power Apparatus and Systems, vol. 99, No.3, pp. 868-877, 1980.
     Google Scholar
  3. K. R. C. Mamandur and R. D. Chenoweth, “Optimal control of reactive power flow for improvements in voltage profiles and for real power loss minimization”, IEEE Transactions on Power Apparatus and Systems, Vol. 100, No. 7, pp. 3185-3193, July 1981.
     Google Scholar
  4. Kessel. P and Glavitsch. H, “Estimating the voltage stability of a power system”, IEEE Transactions on Power Delivery, Vol. 1, No. 3, pp. 346-354, July 1986.
     Google Scholar
  5. J. Qiu and S.M. Shahidehpour, “A new approach for minimizing power losses and improving voltage profile”, IEEE Trans. on Power Systems, Vol.2, No.2, pp.287-295. May 1987.
     Google Scholar
  6. A. M. Chebbo, M. R. Irving and M. J. H. Sterling, “Reactive power dispatch incorporating voltage stability”, IEE Proceedings C-Generation, Transmission and Distribution , Vol. 139, No. 3, May 1992.
     Google Scholar
  7. A. M. Chebbo, M. R. Irving and M. J. H. Sterling, “Voltage collapse proximity indicator: behavior and implications”, IEE Proceedings C-Generation, Transmission and Distribution, Vol. 139, No. 3, May 1992.
     Google Scholar
  8. P-A Liif G Anderson and D J Hill, “Voltage stability indices for stressed power systems”, IEEE Transactions on Power Systems, Vol. 8, No. 1, February 1993.
     Google Scholar
  9. T.V. Menezes, L. C. P. da Silva, C. M. Affonso and V. F. da Costa, “MVAR management on the pre-dispatch problem for improving voltage stability margin”, IEEE Proc. Gener. Transm. Distrib, Vol. 151,No.6,November2004.
     Google Scholar
  10. Christian Blum, “Ant colony optimization: Introduction and recent trends”, Physics of Life Reviews 2, pp 353–373, 2005.
     Google Scholar
  11. Dhadbanjan and Yesuratnam, “Comparison of optimum reactive power schedule with different objectives using LP technique”, Int. Journal of Emerging Electrical Power Systems, Vol.7, No. 3, article.4, 2006.
     Google Scholar
  12. D. Thukaram and G.Yesuratnam, “Fuzzy - Expert Approach for Voltage-Reactive Power Dispatch”, IEEE Power India Conference, April 10-12, 2006.
     Google Scholar
  13. Ismail Musirin, Nur Hazima Faezaa Ismail, Mohd. Rozely Kalil, Muhammad Khayat Idris, Titik Khawa Abdul Rahman, and Mohd Rafi Adzman, "Ant Colony Optimization (ACO) Technique in Economic Power Dispatch Problems", Proceedings of the International Multi Conference of Engineers and Computer Scientists, vol. 2, pp. 191-203, 2008.
     Google Scholar
  14. Pooja Sharma and Thukaram Dhadbanjan “Reactive power and voltage control in grid connected wind farms”, 7th IEEE International Conference on Industrial and Information Systems (ICIIS), August 2012.
     Google Scholar
  15. K. Rayudu, G. Yesuratnam, A. Jayalaxmi and Y. Dedeepya Kumar, “Genetic Algorithm Optimization of Generator Reactive Power”, AASRI Procedia, Elsevier, Vol. 02, pp. 192 – 198, September 2012.
     Google Scholar
  16. K. Rayudu, G. Yesuratnam, A. Jayalaxmi and Y. Dedeepya Kumar, “Multi Objective Comparison of GA & LP Techniques for Generator Reactive Power Optimization”, IEEE Fifth Power India Conference, December 2012.
     Google Scholar
  17. Xin-She Yang, “Bat algorithm: literature review and application”, Int. Journal. Bio- Inspired Computation, Vol. 5, No. 3, , pp. 141–149, 2013.
     Google Scholar
  18. S. M. Rakiul Islam, Md. Alimul Ahsan and Bashudeb Chandra Ghosh, "Optimization of Power System Operation with Static Var Compensator applying ACO Algorithm", International Conference on Electrical Information and Communication Technology, 2013.
     Google Scholar
  19. Tarik Zabaiou, Louis-A Dessaint, Innocent Kamwa, “Preventive control approach for voltage stability improvement using voltage stability constrained optimal power flow based on static line voltage stability indices”, IET Gener. Transm. Distrib. Vol. 8, Issue.5, pp. 924–934, 2014.
     Google Scholar
  20. Adis Alihodzic and Milan Tuba, “Improved hybridized Bat algorithm for global numerical optimization”, UKSim-AMSS 16th International Conference on Computer Modelling and Simulation, 2014.
     Google Scholar
  21. Stephen A. Adubi and Sanjay Misra, “A Comparative Study on the Ant Colony Optimization Algorithms”, International conference on Electronics, Computer and Computation, sept.29 2014.
     Google Scholar
  22. Md.Alimul Ahsan, S.M.Rakiul Islam and Bashudeb Chandra Ghosh, “Performance Analysis of Different Search Algorithms in Optimization of Power System Operation”, International Conference on Electrical Engineering and Information & Communication Technology, 2014.
     Google Scholar
  23. Snigdha Rani Behera, Soumya Prakash Dash and B. K. Panigrahi, “Optimal Placement and Sizing of DGs in Radial Distribution System using Bat Algorithm”, International Conference on Circuit, Power and Computing Technologies, 2015.
     Google Scholar
  24. K.Rayudu, G.Yesuratnam and A.Jayalaxmi, “Genetic Algorithm and Linear Programming Approach for Minimizing Power Loss”, IEEE International Conference on Electrical, Electronics, Signals, Communications and Optimization, January 2015.
     Google Scholar