Evolutionary algorithm solution and KKT based optimality verification to multi-area economic dispatch

International Journal of Electrical Power and Energy Systems

Volumn 31, Issue 7-8, 2009, Pages 365-373

  Manoharan, P S ^a   Kannan, P S ^a   Baskar, S ^a   Willjuice Iruthayarajan, M ^a  

^a THIAGARAJAR COLLEGE OF ENGINEERING   (India)

Author keywords

Covariance Matrix Adapted Evolution Strategy; Differential Evolution; Karush Kuhn Tucker conditions; Multi area economic dispatch; Real coded Genetic Algorithm

Indexed keywords

COVARIANCE MATRIX ADAPTED EVOLUTION STRATEGY; DIFFERENTIAL EVOLUTION; KARUSH-KUHN-TUCKER CONDITIONS; MULTI-AREA ECONOMIC DISPATCH; REAL-CODED GENETIC ALGORITHM;

COVARIANCE MATRIX; DIESEL ENGINES; OPTICAL COMMUNICATION; OPTICAL FILTERS; PARTICLE SWARM OPTIMIZATION (PSO);

GENETIC ALGORITHMS;

EID: 67650608197     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijepes.2009.03.010     Document Type: Article

References (26)

1. Shoults R.R., Chang S.K., Helmick S., and Grady W.M. A practical approach to unit commitment, economic dispatch and savings allocation for multiple-area pool operation with import/export constraints. IEEE Trans Power Apparatus Syst 99 2 (1980) 625-635
2. Romano R., Quintana V.H., Lopez R., and Valadez V. Constrained economic dispatch of multi-area systems using the Dantzig-Wolfe decomposition principle. IEEE Trans Power Apparatus Syst 100 4 (1981) 2127-2137
3. Doty K.W., and McEntire P.L. An analysis of electric power brokerage systems. IEEE Trans Power Apparatus Syst 101 2 (1982) 389-396
4. Desell A.L., McClelland E.C., Tammar K., and van Horne P.R. Transmission constrained production cost analysis in power system planning. IEEE Trans Power Apparatus Syst 103 8 (1984) 2192-2198
5. Helmick S.D., and Shoults R.R. A practical approach to an interim multi-area economic dispatch using limited computer resources. IEEE Trans Power Apparatus Syst 104 6 (1985) 1400-1404
6. Ouyang Z., and Shahidehpour S.M. Heuristic multi-area unit commitment with economic dispatch. IEE Proceedings-C 138 3 (1991) 242-252
7. Wang C., and Shahidehpour S.M. A decomposition approach to non-linear multi-area generation scheduling with tie-line constraints using expert systems. IEEE Trans Power Syst 7 4 (1992) 1409-1418
8. Wang C., and Shahidehpour S.M. Power generation scheduling for multi-area hydro-thermal systems with tie line constraints, cascaded reservoirs and uncertain data. IEEE Trans Power Syst 8 3 (1993) 1333-1340
9. Streiffert D. Multi-area economic dispatch with tie line constraints. IEEE Trans Power Syst 10 4 (1995) 1646-1951
10. Wernerus J, Soder L. Area price based multi-area economic dispatch with tie line losses and constraints. In: IEEE/KTH Stockholm power tech conference, Sweden, 1995. p. 710-15.
11. Chen C.L., and Chen N. Direct search method for solving economic dispatch problem considering transmission capacity constraints. IEEE Trans Power Syst 16 4 (2001) 764-769
12. Yalcinoz T., and Short M.J. Neural networks approach for solving economic dispatch problem with transmission capacity constraints. IEEE Trans Power Syst 13 2 (1998) 307-313
13. Jayabarathi T., Sadasivam G., and Ramachandran V. Evolutionary programming based multi-area economic dispatch with tie line constraints. Electr Mach Power Syst 28 (2000) 1165-1176
14. Lin C.E., and Viviani G.L. Hierarchical economic dispatch for piecewise quadratic cost functions. IEEE Trans Power Apparatus Syst 103 6 (1984) 1170-1175
15. Park J.H., Kim Y.S., Eom I.K., and Lee K.Y. Economic load dispatch for piecewise quadratic cost function using Hopfield neural network. IEEE Trans Power Syst 8 (1993) 1030-1038
16. Baskar S., Alphones A., Suganthan P.N., Ngo N.Q., and Zheng R.T. Design of optimal length low-dispersion fbg filter using covariance matrix adapted evolution. IEEE Photonic Technol Lett 17 10 (2005) 2119-2121
17. Hansen N. The CMA evolution strategy: a comparing review. Studies in fuzziness and soft computing vol. 192 (2006), Springer-Verlag
18. Deb K, Tewari R, Dixit M, Dutta J. Finding trade-off solutions close to KKT points using evolutionary multi-objective optimization. IIT Kanpur, Kangal, 2007. Report Number 2007006.
19. Deb K. Multiobjective optimization using evolutionary algorithms (2001), Wiley, Chichester, UK
20. Eberhart RC, Kennedy J. A new optimizer using particle swarm theory. In: 6th international symposium on micro machine and human science, Nagoya, Japan, 1995. p. 39-43.
21. Storn R. System design by constraint adaptation and differential evolution. IEEE Trans Evolut Comput 3 1 (1999) 22-34
22. Varadarajan M., and Swarup K.S. Differential evolutionary algorithm for optimal reactive power dispatch. Int J Electr Power Energy Syst 30 8 (2008) 435-441
23. Basu M. Optimal power flow with FACTS devices using differential evolution. Int J Electr Power Energy Syst 30 2 (2008) 150-156
24. He D., Wang F., and Mao Z. A hybrid genetic algorithm approach based on differential evolution for economic dispatch with valve-point effect. Int J Electr Power Energy Syst 30 1 (2008) 31-38
25. Lagarias J.C., Reeds J.A., Wright M.H., and Wright P.E. Convergence properties of the Nelder-Mead simplex method in low dimensions. SIAM J Opt 9 1 (1998) 112-147
26. Manoharan P.S., Kannan P.S., and Ramanathan V. A novel EP approach for multi-area economic dispatch with multiple fuel options. Turkish J Electr Eng Comput Sci 17 1 (2009) 1-19