Implementation of modern heuristic techniques for solution of economic dispatch problem with valve point loading

This paper presents an efficient and reliable evolutionary programming based algorithm for solving economic load dispatch problem with valve point loading. The superiority of EP and HEP methods has been demonstrated for 3 unit system by performing valve point curves including losses. It has been observed that the HEP outperforms the other methods in solving power system economic load dispatch problem in terms of convergence rate, and quality and success rate

[1]  A. Bakirtzis,et al.  Optimal Power Flow by Enhanced Genetic Algorithm , 2002, IEEE Power Engineering Review.

[2]  J. M. Anderson.  Hammer's Electrifying New Year's Celebration for the Society of Seventy Seven , 2002 .

[3]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[4]  Hong-Tzer Yang,et al.  Evolutionary programming based economic dispatch for units with non-smooth fuel cost functions , 1996 .

[5]  Kit Po Wong,et al.  Evolutionary programming based optimal power flow algorithm , 1999, 1999 IEEE Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.99CH36364).

[6]  J. Yuryevich,et al.  Evolutionary-programming-based algorithm for environmentally-constrained economic dispatch , 1998 .

[7]  K. Fahd,et al.  Optimal Power Flow Using Tabu Search Algorithm , 2002 .

[8]  Allen J. Wood,et al.  Power Generation, Operation, and Control , 1984 .

[9]  Subir Ray,et al.  Electrical Power Systems , 2007 .

[10]  W. M. Grady,et al.  An optimized procedure for determining incremental heat rate characteristics , 1990 .

[11]  Kit Po Wong,et al.  Evolutionary programming based optimal power flow algorithm , 1999 .

[12]  G. Sheblé,et al.  Genetic algorithm solution of economic dispatch with valve point loading , 1993 .

[13]  K. Fahd,et al.  Optimal Power Flow Using Tabu Search Algorithm , 2002 .

[14]  D. E. Goldberg,et al.  Genetic Algorithms in Search , 1989 .

[15]  Vassilios Petridis,et al.  Optimal power flow by enhanced genetic algorithm , 2002 .