Published November 22, 2016
| Version v1
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STUDY OF MULTI-AREA ECONOMIC DISPATCH ON SOFT COMPUTING TECHNIQUES
Authors/Creators
- 1. Professor, Department of EEE, Mahabarathi Engineering College, Tamilnadu
- 2. Assistant Professor, Department of EEE, Mahabarathi Engineering College, Tamilnadu
- 3. PG Student, Department of EEE, Mahabarathi Engineering College, Tamilnadu
- 4. Research Scholar, Department of EEE, Annamalai University, Tamilnadu
Description
This paper analyses the performance of soft computing techniques to solve single and multi area economic dispatch problems. The paper also includes of inter-area flow constraints on power system network, which are normally ignored in most economic load dispatch problems. Economic load dispatch results for these two area, three area and four area systems are presented in the paper and they determine the importance of multiple area representation of a system in economic load dispatch. Such representation affects the cost and assures the determination of optimum dispatch.
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References
- 1. Chowdhury B H, Rahman S. A review of recent advances in economic dispatch. IEEE Trans Power System 1990; 5(4):1248–59. 2. Romano R, Quintana VH, Lopez R, Valadez V. Constrained economic dispatch of multi-area systems using the Dantzig–Wolfe decomposition principle. IEEE Trans Power ApparatSyst 1981; 100(4):2127–37. 3. Ouyang Z, Shahidehpour SM. Heuristic multi-area unit commitment with economic dispatch. IEE Proc-C 1991;138(3):242–52. 4. Shoults RR, Chang SK, Helmick S, Grady WM. A practical approach to unit commitment, economic dispatch and savings allocation for multiple-area pool operation with import/export constraints. IEEE Trans Power Apparatus System1980; 99(2):625–35. 5. Jayabarathi T, Sadasivam G, Ramachandran V. Evolutionary programming based multi-area economic dispatch with tie line constraints. Electr Mach Power Syst 2000; 28: 1165–76. 6. Prasanna. T. S, and Somasundaram.P. multi-area security constrained economic dispatch by fuzzy- stochastic algorithms. journal of theoretical and applied information technology. .2005 – 2009. 7. Desell AL, McClelland EC, Tammar K, Van Horne PR. Transmission constrained production cost analysis in power system planning. IEEE Trans Power ApparatSyst 1984;103(8):2192–8. 8. Wang C, Shahidehpour SM. A decomposition approach to non-linear multi area generation scheduling with tie-line constraints using expert systems. IEEE Trans Power Syst 1992;7(4):1409–18. 9. Zarei. M, Roozegar.A, Kazemzadeh.R., and Kauffmann J.M. Two Area Power Systems Economic Dispatch Problem Solving Considering Transmission Capacity Constraints. World Academy of Science, Engineering and Technology International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering Vol:1, No:9, 2007. 10. StreiffertD.Multi-area economic dispatch with tie line constraints.IEEE Trans Power Syst 1995;10(4):1946–51. 11. Manoharan .P. S., Kannan p. S., Ramanathan. V. A Novel EP Approach for Multi-area Economic Dispatch with Multiple Fuel Options Turk J ElecEng& Comp Sci, Vol.17, No.1, 2009, doi:10.3906/elk-0705-10. 12. Manoharan PS, Kannan PS, Baskar S, WilljuiceIruthayarajan M. Evolutionary algorithm solution and KKT based optimality verification to multi-area economic dispatch. Int J Electr Power Energy Syst 2009;31(7–8):365–73. 13. SharmaManisha, PanditManjaree, SrivastavaLaxmi. Reserve constrained multi-area economic dispatch employing differential evolution with timevarying mutation. Int J Electr Power Energy Syst 2011;33(3):753–66. 14. Xin-She Yang, Bat algorithm: literature review and applications, Int. J. Bio-Inspired Computation, Vol. 5, No. 3, pp. 141–149 (2013). DOI: 10.1504/IJBIC.2013.055093. 15. Xin-She Yang, "Flower Pollination Algorithm for Global Optimization", Unconventional Computation and NaturalComputation 2012, Lecture Notes in Computer Science, Vol. 7445, pp. 240-249 (2012). 16. Basu.M .Artificial bee colony optimization for multi-area economic dispatch .Electricla power and energy systems 49(2013)181-187. 17. S.Vijayaraj and Dr.R.K.Santhi, " Multi-area economic dispatch using Improved Bat Algorithm", International Journal of Applied Engineering Research. ISSN 0973-4562 Volume 10, Number 19 (2015) pp 40139-40146. 18. S. Vijayaraj., and Dr. R. K. Santhi., "Multi-area economic dispatch using Improved Bat Algorithm", International Journal of Applied Engineering Research,Vol.10, pp 40139-40146,2015. 19. S. Vijayaraj., and Dr. R. K. Santhi.," Multi-Area Economic Dispatch Using Flower Pollination Algorithm", International Conference on Electrical, Electronics, and Optimization Techniques, (ICEEOT) - 2016. 20. S. Vijayaraj., and Dr. R. K. Santhi.," Multi-Area Economic Dispatch with Multi Fuel Option Using Improved Bat Algorithm", International Journal of Innovative Research in Science, Engineering and Technology, Vol. 5, Issue 10, October 2016. 21. S. Vijayaraj., and Dr. R. K. Santhi., " Multi-Area Economic Dispatch with Valve Point Effect Using Improved Bat Algorithm", International Journal for Research in Applied Science & Engineering Technology, Volume 4 Issue 10, October 2016. 22. S. Vijayaraj., and Dr. R. K. Santhi., “Multi-Area Economic Dispatch With Prohibited Operating Zones Using Improved Bat Algorithm", International Journal Of Multidisciplinary Research And Modern Education, Volume II, Issue II, 2016. 23. S. Vijayaraj., and Dr. R. K. Santhi.," Economic Dispatch with Valve Point Effect Using Improved Bat Algorithm" International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 5, Issue 10, October 2016. 24. S. Vijayaraj & Dr. R. K. Santhi, "Economic Dispatch With Multi-Fuel Option Using Improved Bat Algorithm" International Journal of Multidisciplinary Research And Modern Education volume ii, issue ii, 2016 ,pp 303 -310. 25. S.Vijayaraj., and Dr.R.K.Santhi.," Economic Dispatch with Prohibited Zones Using Improved Bat Algorithm", International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 5, Issue 10, November 2016.