Muwaffaq I. Alomoush and Abdel Rahman N. Alheyasat


  1. [1] J. Wood and B.F. Wollenberg, Power generation operationand control, 2nd ed. (New York: Wiley, 1996).
  2. [2] J. Nanda, L. Hari, and M.L. Kothari, Economic emission dis-patch with line flow constraints using a classical technique,IEEE Proceedings – Generation, Transmission and Distribution, 141(1), 1994, 1–10.
  3. [3] A.A. El-Keib, H. Ma, and J.L. Hart, Environmentally con-strained economic dispatch using the Lagrangian relaxationmethod, IEEE Transactions on Power Systems, 9(4), 1994,1723–1729.
  4. [4] D.W. Ross and S. Kim, Dynamic economic dispatch of generation, IEEE Transactions on Power Apparatus and Systems,99(1), 1980, 2060–2088.
  5. [5] M.A. Abido, Multi-objective particle swarm optimization forenvironmental/economic dispatch problem. Electric Power Systems Research, 79(7), 2009, 1105–1113.
  6. [6] S. Agrawal, B.K. Panigrahi, and M.K. Tiwari, Multiobjectiveparticle swarm algorithm with fuzzy clustering for electricalpower dispatch, IEEE Transactions on Evolutionary Computation, 12(5), 2008, 529–541.
  7. [7] J. Cai, X. Ma, Q. Li, L. Li, and H. Peng, A multi-objective chaotic particle swarm optimization for environmental/economic dispatch, Energy Conversion and Management,50(5), 2009, 1318–1325.
  8. [8] T.A. Victoire and P.N. Suganthan, Improved MOCLPSO algorithm for environmental/economic dispatch, Proceeding ofIEEE Congress on Evolutionary Computation (CEC2007),Singapore, Singapore, 2007, 3072–3076.
  9. [9] Y.M. Chen and W.S. Wang, Environmentally constrained economic dispatch using Pareto archive particle swarm optimization. International Journal of Systems Science, 41(5), 2010, 593–605.
  10. [10] M.R. Alrashidi and M.E. El-Hawary, 2006. A survey of particle swarm optimization applications in power system operations, Electric Power Components and Systems, 34(12), 2006,1349–1357.
  11. [11] F.M. Shahir, M. Farsadi, H. Zafari, and A. Sadighmanesh,Solving economic emission load dispatch problems using particle swarm optimization with smart inertia factor. Proceedingsof 9th International Conference on Electrical and ElectronicsEngineering (ELECO), Bursa, Turkey, 2015, 500–504.
  12. [12] C. Rani and D.P. Kothari, Dynamic economic emission dispatchproblem with valve-point effect, Proceedings of InternationalConference on Emerging Trends in Electrical Engineering andEnergy Management (ICETEEEM), Chennai, India, 2012,109–114.
  13. [13] R.E. Perez-Guerrero and J.R. Cedeno-Maldonado, Differentialevolution based economic environmental power dispatch, Proceedings of 37th Annual North American Power Symposium,Ames, IA, USA, 2005, 191–197.
  14. [14] J. Raglend, S. Veeravall, K. Sailaj, B. Sudheera, and D.P.Kothari, Comparison of AI techniques to solve combinedeconomic emission dispatch problem with line flow constraints,Electrical Power and Energy Systems, 32(6), 2010, 592–598.
  15. [15] K.P. Wong, B. Fan, C.S. Chang, and A.C. Liew, Multi-objective generation dispatch using bi-criterion globaloptimization, IEEE Transactions on Power Systems, 10(4),1995, 1813–1819.
  16. [16] H.M. Dubey, M. Pandit, B.K. Panigrahi, and M. Udgir,Economic load dispatch by hybrid swarm intelligence basedgravitational search algorithm, International Journal of Intelligent Systems and Applications (IJISA), 5(8), 2013, 21–32.
  17. [17] B. Shaw, V. Mukherjee, and S.P. Ghoshal, A novel opposition-based gravitational search algorithm for combined economicand emission dispatch problems of power systems, ElectricalPower and Energy Systems, 35(1), 2012, 21–33.
  18. [18] Y. Labbi, D.B. Attous, and B. Mahdad, Artificial bee colonyoptimization for economic dispatch with valve point effect,Frontiers in Energy, 8(4), 2014, 449–458.
  19. [19] D.G. Prasad, D.H. Mohan, P. Manjree, and B.K. Panigrahi,Economic load dispatch using artificial bee colony optimization,International Journal of Advances in Electronics Engineering,1(1), 2011, 119–124.
  20. [20] M.A. Abido, A novel multiobjective evolutionary algorithmfor environmental economic power dispatch, Electric PowerSystems Research, 65(1), 2003, 71–81.
  21. [21] H. Bouzeboudja, A. Chaker, A. Alali, and B. Naama, Economicdispatch solution using a real coded genetic algorithm, ActaElectrotechnica Informatica, 5(4), 2005, 1–5.
  22. [22] K.P. Wong, and Y.W. Wong, Genetic and genetic/simulated-annealing approaches to economic dispatch, IEEE Proceedings –Generation, Transmission and Distribution, 141(5), 1994,507–513.
  23. [23] K.P. Wong and C.C. Fong, Simulated annealing based economic dispatch algorithm, IEEE Proceedings – Generation,Transmission and Distribution, 140(6), 1993, 509–515.
  24. [24] N. Sinha, R. Chakrabarti, and P.K. Chattopadhyay, Evolutionary programming techniques for economic load dispatch,IEEE Transactions on Evolutionary Computation, 7(1), 2003,83–94.
  25. [25] T. Apostolopoulos and A. Vlachos, Application of the fireflyalgorithm for solving the economic emissions load dispatchproblem. International Journal of Combinatorics, Vol. 2011,2011, pp. 1–23. doi:10.1155/2011/523806.
  26. [26] B. Ramesh, V.C.J. Mohan, V.C.V Reddy, Application of batalgorithm for combined economic load and emission dispatch,International Journal of Electrical and Electronic Engineeringand Telecommunications, 2(1), 2013, 1–9.
  27. [27] K. Chandrasekaran, S.P. Simon, and N.P. Padhy, Cuckoosearch algorithm for emission reliable economic multi-objectivedispatch problem, IETE Journal of Research, 60(2), 2014,128–138.
  28. [28] W.M. Lin, F.S. Cheng, and M.T. Tsay, An improved Tabusearch for economic dispatch with multiple minima, IEEETransactions on Power Systems, 17(1), 2002, 108–112.
  29. [29] E. Tsoi, K.P. Wong, and C.C. Fung, Hybrid GA/SA algorithmsfor evaluating trade-off between economic cost and environ-mental impact in generation dispatch, Proceeding 2nd IEEEConference on Evolutionary Computation (ICEC’95), Perth,WA, Australia, 1995, 1, 132–137.
  30. [30] C.T. Su and C.T. Lin, New approach with a Hopfield modelingframework to economic dispatch, IEEE Transactions on PowerSystems, 15(2), 2000, 541–545.
  31. [31] A.Y. Abdelaziz, S.F. Mekhamer, M.A.L. Badr, and M.Z.Kamh, Economic dispatch using an enhanced Hopfield neuralnetwork, Electric Power Components and Systems, 36(7), 2008,719–732.
  32. [32] P. Surekha and S. Sumathi, A self-adaptive fuzzy c-means basedradial basis function network to solve economic load dispatchproblems, International Journal of Computer Applications,25(4), 2011, 50–59.
  33. [33] M.Y. Cheng and D. Prayogo, Symbiotic organisms search:A new metaheuristic optimization algorithm. Computers &Structures, 139, 2014, 98–112.
  34. [34] P. Venkatesh, R. Gnanadass, and N.P. Padhy, Comparisonand application of evolutionary programming techniques tocombined economic emission dispatch with line flow constraints.IEEE Transactions on Power systems, 18(2), 2003, 688–697.
  35. [35] U. G¨uven¸c, Y. S¨onmez, S. Duman, and N. Y¨or¨ukeren, Combined economic and emission dispatch solution using gravitational search algorithm. Scientia Iranica, 19(6), 2012,1754–1762.
  36. [36] P.K. Roy, S.P. Ghoshal, and S.S.Thakur, Combined economicand emission dispatch problems using biogeography-basedoptimization. Electrical Engineering, 92(4–5), 2010, 173–184.
  37. [37] R. Bharathi, M.J. Kumar, D. Sunitha, and S. Premalatha,Optimization of combined economic and emission dis-patch problem – A comparative study, Proceeding of International Power Engineering Conference (IPEC2007),Singapore, Singapore, 2007, 134–139.
  38. [38] G.V. U˘gur, Combined economic emission dispatch solutionusing genetic algorithm based on similarity crossover, ScientificResearch and Essays, 5(17), 2010, 2451–2456.
  39. [39] R. Balamurugan and S. Subramanian, A simplified recursiveapproach to combined economic emission dispatch, ElectricPower Components and Systems, 36(1), 2007, 17–27.
  40. [40] M. Basu, Economic environmental dispatch using multi-objective differential evolution, Applied Soft Computing, 11(2),2011, 2845–2853.

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