Title :
A new approach for global optimization in high dimension problems
Author :
Jafari, S. ; Abdolmohammadi, H.R. ; Nazari, M.E. ; Shayanfar, H.A.
Author_Institution :
Biomed. Eng. Dept., Amirkabir Univ. of Technol., Tehran
Abstract :
In this paper, an improved genetic algorithm is proposed to solve the economic dispatch (ED) problem with valve point loading effects. The proposed algorithm reduces the dimension of the search space in a certain way such that it is less time consuming. The evolutionary algorithm is proved to be efficient in solving the economic dispatch problem. Furthermore, it provides a suitable framework for future extension to other optimization algorithms.
Keywords :
genetic algorithms; load dispatching; economic dispatch; evolutionary algorithm; genetic algorithm; global optimization; search space dimension reduction; valve point loading effect; Cost function; Fuel economy; Genetic algorithms; Optimization methods; Piecewise linear approximation; Power generation; Power generation economics; Power system economics; Power system simulation; Valves; Economic Dispatch; Genetic Algorithm; Valve Point Effect;
Conference_Titel :
Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
Conference_Location :
Pittsburgh, PA
Print_ISBN :
978-1-4244-1905-0
Electronic_ISBN :
1932-5517
DOI :
10.1109/PES.2008.4596830
