CFP last date
20 December 2024
Reseach Article

Solution of Optimal Power Flow Problem Incorporating Various FACTS Devices

by Nanda Kumar Easwaramoorthy, R. Dhanasekaran
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 55 - Number 4
Year of Publication: 2012
Authors: Nanda Kumar Easwaramoorthy, R. Dhanasekaran
10.5120/8746-2633

Nanda Kumar Easwaramoorthy, R. Dhanasekaran . Solution of Optimal Power Flow Problem Incorporating Various FACTS Devices. International Journal of Computer Applications. 55, 4 ( October 2012), 38-44. DOI=10.5120/8746-2633

@article{ 10.5120/8746-2633,
author = { Nanda Kumar Easwaramoorthy, R. Dhanasekaran },
title = { Solution of Optimal Power Flow Problem Incorporating Various FACTS Devices },
journal = { International Journal of Computer Applications },
issue_date = { October 2012 },
volume = { 55 },
number = { 4 },
month = { October },
year = { 2012 },
issn = { 0975-8887 },
pages = { 38-44 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume55/number4/8746-2633/ },
doi = { 10.5120/8746-2633 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:56:26.134743+05:30
%A Nanda Kumar Easwaramoorthy
%A R. Dhanasekaran
%T Solution of Optimal Power Flow Problem Incorporating Various FACTS Devices
%J International Journal of Computer Applications
%@ 0975-8887
%V 55
%N 4
%P 38-44
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This research paper presents a new approach for placing the optimal location of FACTS controllers in a multi machine power system using mat lab coding. Using the proposed method, the location of FACTS controller, their type and rated values are optimized simultaneously. Among the various FACTS controllers, TCSC and UPFC are considered. OPF is one of the most important processes in power system, which improves the system performance by satisfying certain constraints. Generally, different optimization methods are used in the literature to solve the OPF problem. In some research works, the optimization process is done by considering total fuel cost or by considering the environmental pollution that occurs during power generation. But in some other research works, FACTS controllers are used to improve the power flow without considering the power generation cost. The OPF problem is one of the most extensively studied topics in the power system community. In power system operation, OPF is an extended problem of ED which considers several parameters such as generator voltage, transformer tap change, SVC, and includes constraints such as transmission line and transformer loading limits, bus voltage limit, and stability margin limit. The main function of OPF is to select the optimal operation state of a power system, in the time of meeting some particular constraints. OPF study plays a key role in the EMS, where the entire operation of the system is regulated in each possible real time intervals.

References
  1. MithunBhaskar M, SrinivasMuthyala and SyduluMaheswarapu, "Security Constraint Optimal Power Flow (SCOPF) – A Comprehensive Survey", International Journal of Computer Applications, Vol. 11, No. 6, pp. 42-52, Dec 2010.
  2. K. Mani Chandy, Steven H. Low, UfukTopcu and HuanXu, "A Simple Optimal Power Flow Model with Energy Storage", In Proceedings of IEEE Conference on Decision and Control, Atlanta, pp. 1051-1057, Dec 2010.
  3. BrahimGasboui and BoumedieneAllaoua, "Ant Colony Optimization Applied on Combinatorial Problem for Optimal Power Flow Solution", Leonardo Journal of Sciences, Issue. 14, pp. 1-17, June 2009.
  4. Zwe-Lee Gaing; Rung-Fang Chang, "Security-constrained optimal power flow by mixed-integer genetic algorithm with arithmetic operators", In Proceedings of IEEE Power Engineering Society General Meeting, pp. 1-8, Montreal, 2006.
  5. Mithun Bhaskar M, Srinivas Muthyala and Sydulu Maheswarapu, "Security Constraint Optimal Power Flow (SCOPF) – A Comprehensive Survey", International Journal of Computer Applications, Vol. 11, No. 6, pp. 42-52, Dec 2010.
  6. N. G. Hingorani and L. Gyugyi, Understanding FACTS concepts and technology of flexible AC transmission systems. New York: IEEE Press, 2000.
  7. R. M. Mathur and R. K. Varma, Thyristor-based FACTS controllers for electrical transmission systems. Piscataway: IEEE Press, 2002.
  8. Keerati Chayakulkheeree and Weerakorn Ongsakul, "Optimal Power Flow Considering Non-Linear Fuzzy Network and Generator Ramprate Constrained", International Energy Journal, Vol. 8, pp. 131-138, 2007.
  9. C. Thitithamrongchai and B. Eua-Arporn, "Self-adaptive Differential Evolution Based Optimal Power Flow for Units with Non-smooth Fuel Cost Functions", Journal of Electrical Systems, Vol. 3, No. 2, pp. 88-99, 2007.
  10. J. Carpentier and A. Merlin, "Optimization methods in planning and operation," International Journal of Electrical Power and Energy Systems, vol. 4, pp. 11-18, 1982.
  11. K. S. Swarup, "Swarm intelligence approach to the solution of optimal power flow", J. Indian Inst. Sci. , Vol. 86, pp. 439–455, Oct 2006.
  12. H. Ambriz-Perez, E. Acha, and C. R. Fuerte-Esquivel, "Advanced SVC models for Newton-Raphson load flow and Newton optimal power flow studies," Power Systems, IEEE Transactions on, vol. 15, pp. 129-136, 2000.
  13. T. Orfanogianni, "A flexible software environment for steady-state power flow optimization with series FACTS devices. " Diss. ETH Zurich, 2000, pp. 135 S.
  14. TarekBouktir and Linda Slimani, "Optimal Power Flow of the Algerian Electrical Network using an Ant Colony Optimization Method", Leonardo Journal of Sciences, Issue. 7, pp. 43-57, Dec 2005.
  15. TarekBouktir and Linda Slimani, "A Genetic Algorithm for Solving the Optimal Power Flow Problem", Leonardo Journal of Sciences, Issue. 4, pp. 44-58, June 2004.
  16. Mithun M. Bhaskar, SrinivasMuthyala and MaheswarapuSydulu, "A Novel Progressively Swarmed Mixed Integer Genetic Algorithm for Security Constrained Optimal Power Flow (SCOPF)", International Journal of Engineering, Science and Technology, Vol. 2, No. 11, pp. 34-40, 2010.
  17. KeeratiChayakulkheeree and Weerakorn Ongsakul, "Optimal Power Flow Considering Non-Linear Fuzzy Network and Generator Ramprate Constrained", International Energy Journal, Vol. 8, pp. 131-138, 2007.
  18. C. Thitithamrongchai and B. Eua-Arporn, "Self-adaptive Differential Evolution Based Optimal Power Flow for Units with Non-smooth Fuel Cost Functions", Journal of Electrical Systems, Vol. 3, No. 2, pp. 88-99, 2007.
  19. P. K. Roy, S. P. Ghoshal and S. S. Thakur, "Biogeography Based Optimization Approach for Optimal Power Flow Problem Considering Valve Loading Effects", International J. of Recent Trends in Engineering and Technology, Vol. 3, No. 3, pp. 177-181, May 2010.
  20. S. Jaganathan, S. Palanisamy K. Senthilkumaravel and B. Rajesh, "Application of Multi-Objective Technique to Incorporate UPFC in Optimal Power Flow using Modified Bacterial Foraging Technique", International Journal of Computer Applications, Vol. 13, No. 2, pp. 18-24, Jan 2011.
  21. K. S. Swarup, "Swarm intelligence approach to the solution of optimal power flow", J. Indian Inst. Sci. , Vol. 86, pp. 439–455, Oct 2006.
  22. Mithun M. Bhaskar and SyduluMaheswarapu, "A Hybrid Genetic Algorithm Approach for Optimal Power Flow", TELKOMNIKA, Vol. 9, No. 1, pp. 209-214, April 2011.
  23. Keerati Chayakulkheeree and Weerakorn Ongsakul, "Multi-Objective Optimal Power Flow Considering System Emissions and Fuzzy Constraints", GMSARN International Journal Vol. 1, pp. 1 - 6, 2008.
Index Terms

Computer Science
Information Sciences

Keywords

OPF TCSC UPFC ED EMS