DOI QR코드

DOI QR Code

Hybrid Differential Evolution Technique for Economic Dispatch Problems

  • Published : 2008.12.01

Abstract

This paper is aimed at presenting techniques of hybrid differential evolution for solving various kinds of Economic Dispatch(ED) problems such as those including prohibited zones, emission dispatch, multiple fuels, and multiple areas. The results obtained for typical problems are compared with those obtained by other techniques such as Particle Swarm Optimization(PSO) and Classical Evolutionary Programming(CEP) techniques. The comparison of the results proves that hybrid differential evolution is quite favorable for solving ED problems with no restrictions on the shapes of the input-output functions of the generator.

Keywords

References

  1. S.O. Orero, M.R. Irving, 'Economic Dispatch of Generators with Prohibited Operating Zones: a genetic algorithm approach', IEE Proceedings Gen., Transm., Distribut. 143 (6) (1996) 529-534
  2. Jayabarathi T., Sadhasivam G. and Ramachandran V. 'Evolutionary Programming Based Economic Dispatch of Generators with Prohibited Zones', Electric Power Systems Research, (1999) pp. 261-266
  3. Fred N. Lee and Arthur Breipohl 'Reserve Constrained Economic Dispatch with Prohibited Operating Zones', IEEE Transaction on Power Systems, Vol. 8, No. 1 (1993), pp. 246-253 https://doi.org/10.1109/59.221233
  4. Fan J.Y. and McDonald J.D. 'A Practical Approach to Real Time Economic Dispatch Considering Unit's Operating Prohibited Zones', IEEE Transaction on Power Systems, Vol. 9, No. 4 (1994) pp. 1737-1743 https://doi.org/10.1109/59.331425
  5. M. Sudhakaran, S.M.R. Sulochanal, R. Sreeram and N. Chandrasekhar 'Application of Refined Genetic Algorithm to Combined Economic and Emission Dispatch',IE(I) Journal (2004), pp. 115-119
  6. A. Immanuel Selva Kumar, K. Dhanushkodi, J. Jaya Kumar and Kumar Charlie Paul, 'Particle Swarm Optimization Solution to Emission and Economic Dispatch Problem, TENCON 2003, Conference on Convergent Technologies for Asia-Pacific Region. (2003), pp. 435-439
  7. D.N. Jeyakumar, T. Jayabarathi, T. Raghunathan 'Particle Swarm Optimization for Various Types of Economic Dispatch Problems' Electric Power and Energy Systems, 28 (2006), pp. 36-42 https://doi.org/10.1016/j.ijepes.2005.09.004
  8. M. Basu 'Economic Emission Dispatch through a Fast Computation Hopfield Method', IE(I) Journal EL(2002), pp. 65-69
  9. Kwang Y. Lee, Arthit Sode-Yome and June Ho Park, 'Adaptive Hopfield Neural Network for Economic Load Dispatch', IEEE Transaction on Power Systems (1998), pp. 519-525
  10. Rainer Storn and Kenneth Price, 'Minimizing the real functions of the ICEC'96 contest by Differential Evolution', IEEE International Conference on Evolutionary Computation (1996), pp. 842-844
  11. Chiou J.P. 'Variable scaling hybrid differential evolution for large-scale economic dispatch problems', Electric Power Systems Research 77 (2007), pp. 212-218 https://doi.org/10.1016/j.epsr.2006.02.013
  12. Yung-Chien Lin, Feng-Sheng Wang and Kao-Shing Hwang, 'Co-evolutionary Hybrid Differential Evolution for Mixed-Integer Optimization Problems', Engineering Optimization, Vol. 00, 2001, pp. 1-20
  13. Chung-Fu Chang , Ji-Jen Wong , Ji-Pyng Chiou,Ching-Tzong Su, 'Robust Searching Hybrid Differential Evolution Method for Optimal Reactive power Planning in large-scale Distribution systems', Electric Power Systems Research, Vol. 77, 2007, pp. 430-437 https://doi.org/10.1016/j.epsr.2006.04.002
  14. Feng-Sheng Wang and Horng-Jhy Jang 'Parameter Estimation of a Bio-reaction Model by Hybrid Differential Evolution', Evolutionary Computation (2000), Proceedings of the 2000 Congress, pp. 410-417
  15. Yung-Chien Lin, Kao-Shing Hwang and Feng-Sheng Wang, 'Plant Scheduling and Planning Using Mixed Integer Hybrid Differential Evolution with Multiplier Updating', IEEE Transaction on Power Systems (2000), pp. 593-600
  16. Yung-Chien Lin, Kao-Shing Hwang and Feng-Sheng Wang, 'Hybrid Differential Evolution with Multiplier Updating Method for Non-linear Constrained Optimization Problems', IEEE Transaction on Power Systems (2002), pp. 872-877
  17. Ching-Tzong Su and Chu-Sheng Lee, 'Network Reconfiguration of Distributed Systems Using Improved Mixed Integer Hybrid Differential Evolution', IEEE Transactions on Power Delivery (2003), pp. 1022-1027
  18. Ji-Pyng Chiou, Chung-Fu Chang and Ching-Tzong Su, 'Variable Scaling Hybrid Differential Evolution for Solving Network Reconfiguration of Distribution Systems' IEEE Transaction on Power Systems. Vol. 20. No. 2 (2006), pp. 668-674 https://doi.org/10.1109/TPWRS.2005.846096
  19. D.P. Kothari and I.J. Nagrath, 'Modern Power System Analysis', McGraw-Hill, New York, 2008
  20. Y.H. Song, G.S. Wang, P.V. Wang, A.T. Johns 'Environmental/Economic Dispatch Using Fuzzy Logic Controlled Genetic Algorithms' IEE Proc. Gen., Transm., Distribut. 144 (4) (1997), pp. 377-382 https://doi.org/10.1049/ip-gtd:19971100
  21. Streifert Dan, 'Multi-area Economic Dispatch with Tie-line Constraints' IEEE Transaction on Power Systems (1995), pp. 1946-1951

Cited by

  1. Performance assessment of PSO, DE and hybrid PSO–DE algorithms when applied to the dispatch of generation and demand vol.47, 2013, https://doi.org/10.1016/j.ijepes.2012.11.002
  2. Design of Time-Varying Rate Considering CO$_2$ Emission vol.4, pp.1, 2013, https://doi.org/10.1109/TSG.2012.2234771