Title :
A self-adaptive differential evolution algorithm for dynamic economic dispatch with valve-point effects
Author :
Sum-Im, Thanathip
Author_Institution :
Dept. of Electr. Eng., Srinakharinwirot Univ., Thailand
Abstract :
In this paper, a self-adaptive differential evolution algorithm (SaDEA) is proposed for solving dynamic economic dispatch (DED) problem with valve-point effects consideration. The purpose of DED problem is to minimize the total generation costs of thermal power plants associated with the technical and economical constraints. The software development has been performed within the mathematical programming environment of MATLAB in this work. The efficiency and effectiveness of the proposed technique is initially demonstrated via the analysis of 3-unit and 10-unit test systems considering valve-point loading and ramp rate constraints. A detailed comparative study among an evolutionary programming (EP), a particle swarm optimization (PSO), an enhanced particle swarm optimization (EPSO), an enhanced particle swarm optimization with Gaussian mutation (EPSO-GM), a hybrid method between evolutionary programming and sequential quadratic programming (EP-SQP), a modified hybrid EP-SQP (MHEP-SQP) and the proposed method is presented. From the experimental results, the proposed method has the achieved solutions with good accuracy, stable convergence characteristics, simple implementation and satisfactory computational time.
Keywords :
evolutionary computation; particle swarm optimisation; power generation dispatch; power generation economics; quadratic programming; thermal power stations; DED problem; EPSO; EPSO-GM; Matlab; PSO; SaDEA; dynamic economic dispatch; enhanced particle swarm optimization; enhanced particle swarm optimization with Gaussian mutation; evolutionary programming; mathematical programming environment; modified hybrid EP-SQP method; particle swarm optimization; ramp rate constraints; self-adaptive differential evolution algorithm; sequential quadratic programming; thermal power plants; total generation costs; unit test systems; valve-point effects; Cost function; Generators; Heuristic algorithms; Sociology; Statistics; Vectors; Power generation; dynamic economic dispatch; self-adaptive differential evolution algorithm;
Conference_Titel :
Universities Power Engineering Conference (UPEC), 2012 47th International
Conference_Location :
London
Print_ISBN :
978-1-4673-2854-8
Electronic_ISBN :
978-1-4673-2855-5
DOI :
10.1109/UPEC.2012.6398551