Evolutionary programming based economic dispatch for units with non-smooth fuel cost functions

Author

Yang, Hong-Tzer ; Yang, Pai-Chum ; Huang, Ching-Lien

Author_Institution

Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan

Volume

11

Issue

1

fYear

1996

fDate

2/1/1996 12:00:00 AM

Firstpage

112

Lastpage

118

Abstract

This paper develops an efficient, general economic dispatch (ED) algorithm for generating units with nonsmooth fuel cost functions. Based on the evolutionary programming (EP) technique, the new algorithm is capable of determining the global or near global optimal dispatch solutions in the cases where the classical Lagrangian based algorithms cease to be applicable. Effectiveness of the new algorithm is demonstrated on two example power systems and compared to that of the dynamic programming, simulated annealing, and genetic algorithms. Practical application of the developed algorithm is additionally verified on the Taiwan power (Taipower) system. Numerical results show that the proposed EP based ED algorithm can provide accurate dispatch solutions within reasonable time for any type of fuel cost functions

Keywords

combinatorial mathematics; costing; economics; fuel; load dispatching; optimisation; power system planning; algorithm; combinatorial optimisation; dynamic programming; economic dispatch; evolutionary programming; generating units; genetic algorithms; nonsmooth fuel cost functions; simulated annealing; Cost function; Dynamic programming; Fuel economy; Genetic algorithms; Genetic programming; Lagrangian functions; Power generation economics; Power system dynamics; Power system simulation; Simulated annealing;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.485992

Filename

485992