Title :
Improved Evolutionary Programming & Its Application in Economic Dispatch Problem
Author_Institution :
Dept.of Electr. Eng., Hubei Univ. for Nat., Enshi, China
Abstract :
This paper raises an improved evolutionary programming (IEP) for solving the economic dispatch (ED) problem in power system. In the methodology, a simple evolutionary programming (EP) is used as a basic level search, which can give a good direction to the optimal global region. Then, a local search (LS) procedure is adopted as a fine tuning to determine the optimal solution. The proposed method has been demonstrated to have superior features, including high-quality solution, and stable convergence characteristic. The result of experimentation shows that the proposed method is indeed capable of obtaining higher quality solution efficiently in ED problems of power system.
Keywords :
evolutionary computation; power system economics; search problems; economic dispatch problem; improved evolutionary programming; local search procedure; power system; Character generation; Constraint optimization; Cost function; Genetic programming; Optimization methods; Power generation; Power generation economics; Power system economics; Power system simulation; Power systems;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4812-8
Electronic_ISBN :
978-1-4244-4813-5
DOI :
10.1109/APPEEC.2010.5448744